Preslav Nakov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
276
Venues
30
Active years
2000–2026
Best venue rank
A*
Where they publish
- A*ACL62 papers
- A*EMNLP53 papers
- NationalRANLP27 papers
- ANAACL24 papers
- BCOLING22 papers
- AECIR16 papers
- AEACL12 papers
- NationalAIMSA8 papers
- A*SIGIR7 papers
- A*AAAI6 papers
- BCoNLL5 papers
- AICWSM4 papers
- A*IJCAI3 papers
- ACIKM3 papers
- AECAI3 papers
- BIJCNLP2 papers
- AInterspeech2 papers
- A*KDD2 papers
- AWSDM2 papers
- CASRU2 papers
- CCICLING2 papers
- BLREC1 paper
- AIROS1 paper
- AAsiaCCS1 paper
- MulticonferenceICASSP1 paper
- A*ICLR1 paper
- A*ICDM1 paper
- BIJCNN1 paper
- A*WWW1 paper
- A*ICML1 paper
Papers
276 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SAHM: A Benchmark for Arabic Financial and Shari'ah-Compliant Reasoning. | Rania Elbadry, Sarfraz Ahmad, Ahmed Heakl, Dani Bouch, Momina Ahsan, Muhra AlMahri, Marwa Elsaid Khalil, Yuxia Wang, Salem Lahlou, Sophia Ananiadou, Veselin Stoyanov, Jimin Huang, Xueqing Peng, Preslav Nakov, Zhuohan Xie |
| 2026 | ACL | Faithfulness-Aware Uncertainty Quantification for Fact-Checking the Output of Retrieval-Augmented Generation. | Ekaterina Fadeeva, Aleksandr Rubashevskii, Dzianis Piatrashyn, Roman Vashurin, Shehzaad Dhuliawala, Artem Shelmanov, Timothy Baldwin, Preslav Nakov, Mrinmaya Sachan, Maxim Panov |
| 2026 | ACL | When Personalization Tricks Detectors: The Feature-Inversion Trap in Machine-Generated Text Detection. | Lang Gao, Xuhui Li, Chenxi Wang, Mingzhe Li, Wei Liu, Zirui Song, Jinghui Zhang, Rui Yan, Preslav Nakov, Xiuying Chen |
| 2026 | ACL | Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialogues. | Muhammad Dehan Al Kautsar, Saeed Almheiri, Momina Ahsan, Bilal Elbouardi, Younes Samih, Sarfraz Ahmad, Amr Keleg, Omar El Herraoui, Kareem Elzeky, Abed Alhakim Freihat, Mohamed Anwar, Zhuohan Xie, Junhong Liang, Mohammad Rustom Al Nasar, Preslav Nakov, Fajri Koto |
| 2026 | ACL | ExaGPT: Example-Based Machine-Generated Text Detection for Human Interpretability. | Ryuto Koike, Masahiro Kaneko, Ayana Niwa, Preslav Nakov, Naoaki Okazaki |
| 2026 | ACL | Stereotype Bias in a Bilingual Setting: A Culturally Grounded Evaluation in Kazakhstan. | Nurkhan Laiyk, Daniil Orel, Ayana Mussabayeva, Maiya Goloburda, Kamila Kuishibekova, Liya Goloburda, Diana Turmakhan, Preslav Nakov, Yuxia Wang, Fajri Koto |
| 2026 | ACL | Uncovering Temporal Framing in the News. | Tarek Mahmoud, Veronika Solopova, Premtim Sahitaj, Ariana Sahitaj, Max Upravitelev, Mervat Abassy, Hana Fatima Shaikh, Neda Foroutan, Vera Schmitt, Preslav Nakov |
| 2026 | ACL | A Multi-View Media Profiling Suite: Resources, Evaluation, and Analysis. | Muhammad Arslan Manzoor, Dilshod Azizov, Daniil Orel, Umer Siddique, Zain Muhammad Mujahid, Yufang Hou, Preslav Nakov |
| 2026 | ACL | Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling. | Ivan Rodkin, Daniil Orel, Konstantin Smirnov, Arman Bolatov, Bilal Elbouardi, Besher Hassan, Yuri Kuratov, Aydar Bulatov, Preslav Nakov, Timothy Baldwin, Artem Shelmanov, Mikhail Burtsev |
| 2026 | ACL | Instruction-Guided Poetry Generation in Arabic and Its Dialects. | Abdelrahman Boda Sadallah, Kareem Ashraf Elozeiri, Mervat Abassy, Rania Elbadry, Mohamed Anwar, Abed Alhakim Freihat, Preslav Nakov, Fajri Koto |
| 2026 | ACL | ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning. | Vladislav Smirnov, Quang-Chieu Nguyen, Sergey Senichev, Minh Ngoc Ta, Ekaterina Fadeeva, Artem Vazhentsev, Daria Galimzianova, Nikolai Rozanov, Viktor Mazanov, Jingwei Ni, Tianyi Wu, Igor Kiselev, Mrinmaya Sachan, Iryna Gurevych, Preslav Nakov, Timothy Baldwin, Artem Shelmanov |
| 2026 | ACL | Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI. | Yuxia Wang, Rui Xing, Jonibek Mansurov, Giovanni Puccetti, Zhuohan Xie, Minh Ngoc Ta, Jiahui Geng, Jinyan Su, Mervat Abassy, Saadeldine Eletter, Kareem Ashraf Elozeiri, Nurkhan Laiyk, Maiya Goloburda, Tarek Mahmoud, Raj Vardhan Tomar, Alexander Aziz, Ryuto Koike, Masahiro Kaneko, Artem Shelmanov, Ekaterina Artemova, Vladislav Mikhailov, Akim Tsvigun, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov |
| 2026 | ACL | Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation. | Jiaying Wu, Zihang Fu, Haonan Wang, Fanxiao Li, Jiafeng Guo, Preslav Nakov, Min-Yen Kan |
| 2026 | ACL | FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning. | Zhuohan Xie, Daniil Orel, Rushil Thareja, Dhruv Sahnan, Hachem Madmoun, Fan Zhang, Debopriyo Banerjee, Georgi Nenkov Georgiev, Xueqing Peng, Lingfei Qian, Jimin Huang, Jinyan Su, Aaryamonvikram Singh, Rui Xing, Rania Elbadry, Chen Xu, Haonan Li, Fajri Koto, Ivan Koychev, Tanmoy Chakraborty, Yuxia Wang, Salem Lahlou, Veselin Stoyanov, Sophia Ananiadou, Preslav Nakov |
| 2026 | ACL | Health-ORSC-Bench: A Benchmark for Measuring Over-Refusal and Safety Completion in Health Context. | Zhihao Zhang, Liting Huang, Guanghao Wu, Preslav Nakov, Heng Ji, Usman Naseem |
| 2026 | ACL | FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosure. | Fan Zhang, Mingzi Song, Rania Elbadry, Yankai Chen, Shaobo Wang, Yixi Zhou, Xunwen Zheng, Yueru He, Yuyang Dai, Georgi Nenkov Georgiev, Ayesha Gull, Muhammad Usman Safder, Fan Wu, Liyuan Meng, Fengxian Ji, Junning Zhao, Xueqing Peng, Jimin Huang, Y. U. Chen, Xue (Steve) Liu, Preslav Nakov, Zhuohan Xie |
| 2026 | ACL | FinCARDS: Card-Based Analyst Reranking for Financial Document Question Answering. | Yixi Zhou, Fan Zhang, Y. U. Chen, Haipeng Zhang, Preslav Nakov, Zhuohan Xie |
| 2026 | EACL | Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedback. | Osama Mohammed Afzal, Preslav Nakov, Tom Hope, Iryna Gurevych |
| 2026 | EACL | AICD Bench: A Challenging Benchmark for AI-Generated Code Detection. | Daniil Orel, Dilshod Azizov, Indraneil Paul, Yuxia Wang, Iryna Gurevych, Preslav Nakov |
| 2026 | EACL | Nanda Family: Open-Weights Generative Large Language Models for Hindi. | Aaryamonvikram Singh, Debopriyo Banerjee, Dhruv Sahnan, Monojit Choudhury, Shivam Chauhan, Rocktim Jyoti Das, Xudong Han, Haonan Li, Alok Anil Jadhav, Utkarsh Agarwal, Mukund Choudhary, Fajri Koto, Junaid Bhat, Awantika Shukla, Samujjwal Ghosh, Samta Kamboj, Onkar Pandit, Lalit Pradhan, Rahul Pal, Sunil Kumar Sahu, Parvez Mullah, Ali El Filali, Zainul Abedien Ahmed Quraishi, Neha Sengupta, Gokul Ramakrishnan, Rituraj Joshi, Gurpreet Gosal, Avraham Sheinin, Natalia Vassilieva, Preslav Nakov |
| 2026 | EACL | FAID: Fine-grained AI-generated Text Detection using Multi-task Auxiliary and Multi-level Contrastive Learning. | Minh Ngoc Ta, Dong Cao Van, Duc-Anh Hoang, Minh Le-Anh, Truong Nguyen, My Anh Tran Nguyen, Yuxia Wang, Preslav Nakov, Dinh Viet Sang |
| 2026 | EACL | COMMUNITYNOTES: A Dataset for Exploring the Helpfulness of Fact-Checking Explanations. | Rui Xing, Preslav Nakov, Timothy Baldwin, Jey Han Lau |
| 2026 | ECIR | Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection. | Janek Bevendorff, Maik Frbe, Andr Greiner-Petter, Andreas Jakoby, Maximilian Mayerl, Preslav Nakov, Henry Plutz, Martin Potthast, Benno Stein, Minh Ngoc Ta, Yuxia Wang, Eva Zangerle |
| 2026 | ECIR | ImageCLEF 2026: Multimodal Challenges in Medicine, Science, Agritech, and Security. | Bogdan Ionescu, Henning Mller, Dan-Cristian Stanciu, Ahmedkhan Radzhabov, Alba Garca Seco de Herrera, Alexandra-Georgiana Andrei, Alexandra Baicoianu, Ana Neacsu, Andrea M. Stors, Asma Ben Abacha, Benjamin Bracke, Lea Reinartz, Benjamin Lecouteux, Christoph M. Friedrich, Cynthia Sabrina Schmidt, Corneliu Florea, Diandra Fabre, Didier Schwab, Dimitar Dimitrov, Emmanuelle Esperana-Rodier, Mihai Gabriel Constantin, Hendrik Damm, Henning Schfer, Ivan Koychev, Josiane Mothe, Liviu-Daniel Stefan, Maja J. Hjuler, Mehmet Kurt, Meliha Yetisgen, Michael A. Riegler, Mihai Dogariu, Mihai Ivanovici, Ming Shan Hee, Mohammad El Sakka, Momina Ahsan, Obioma Pelka, Pl Halvorsen, Preslav Nakov, Raphael Brngel, Sarfraz Ahmad, Steven Alexander Hicks, Sushant Gautam, Tabea Margareta Grace Pakull, Bahadir Eryilmaz, Vajira Thambawita, Vassili Kovalev, Wen-Wai Yim, Yuri Prokopchuk, Zhuohan Xie |
| 2026 | ECIR | The CLEF-2026 CheckThat! Lab: Advancing Multilingual Fact-Checking. | Julia Maria Stru, Sebastian Schellhammer, Stefan Dietze, Venktesh V., Vinay Setty, Tanmoy Chakraborty, Preslav Nakov, Avishek Anand, Primakov Chungkham, Salim Hafid, Dhruv Sahnan, Konstantin Todorov |
| 2026 | ECIR | The CLEF-2026 FinMMEval Lab: Multilingual and Multimodal Evaluation of Financial AI Systems. | Zhuohan Xie, Rania Elbadry, Fan Zhang, Georgi Georgiev, Xueqing Peng, Lingfei Qian, Jimin Huang, Dimitar Dimitrov, Vanshikaa Jani, Yuyang Dai, Jiahui Geng, Yuxia Wang, Ivan Koychev, Veselin Stoyanov, Preslav Nakov |
| 2026 | LREC | DialectalArabicMMLU: Benchmarking Dialectal Capabilities in Arabic and Multilingual Language Models. | Malik H. Altakrori, Nizar Habash, Teresa Lynn, Younes Samih, Abed Alhakim Freihat, Kirill Chirkunov, Muhammed AbuOdeh, Radu Florian, Preslav Nakov, Alham Fikri Aji |
| 2026 | SIGIR | Multi-Sourced, Multi-Agent Evidence Retrieval for Fact-Checking. | Shuzhi Gong, Richard O. Sinnott, Jianzhong Qi, Ccile Paris, Preslav Nakov, Zhuohan Xie |
| 2025 | ACL | PolyNarrative: A Multilingual, Multilabel, Multi-domain Dataset for Narrative Extraction from News Articles. | Nikolaos Nikolaidis, Nicolas Stefanovitch, Purificao Silvano, Dimitar Iliyanov Dimitrov, Roman Yangarber, Nuno Guimares, Elisa Sartori, Ion Androutsopoulos, Preslav Nakov, Giovanni Da San Martino, Jakub Piskorski |
| 2025 | ACL | Annotating the Annotators: Analysis, Insights and Modelling from an Annotation Campaign on Persuasion Techniques Detection. | Davide Bassi, Dimitar Iliyanov Dimitrov, Bernardo D'Auria, Firoj Alam, Maram Hasanain, Christian Moro, Luisa Orr, Gian Piero Turchi, Preslav Nakov, Giovanni Da San Martino |
| 2025 | ACL | Shaping the Safety Boundaries: Understanding and Defending Against Jailbreaks in Large Language Models. | Lang Gao, Jiahui Geng, Xiangliang Zhang, Preslav Nakov, Xiuying Chen |
| 2025 | ACL | VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration. | Jiahui Geng, Qing Li, Zongxiong Chen, Yuxia Wang, Derui Zhu, Zhuohan Xie, Chenyang Lyu, Xiuying Chen, Preslav Nakov, Fakhri Karray |
| 2025 | ACL | \mathsfCon Instruction: Universal Jailbreaking of Multimodal Large Language Models via Non-Textual Modalities. | Jiahui Geng, Thy Thy Tran, Preslav Nakov, Iryna Gurevych |
| 2025 | ACL | Qorǵau: Evaluating Safety in Kazakh-Russian Bilingual Contexts. | Maiya Goloburda, Nurkhan Laiyk, Diana Turmakhan, Yuxia Wang, Mukhammed Togmanov, Jonibek Mansurov, Askhat Sametov, Nurdaulet Mukhituly, Minghan Wang, Daniil Orel, Zain Muhammad Mujahid, Fajri Koto, Timothy Baldwin, Preslav Nakov |
| 2025 | ACL | Instruction Tuning on Public Government and Cultural Data for Low-Resource Language: a Case Study in Kazakh. | Nurkhan Laiyk, Daniil Orel, Rituraj Joshi, Maiya Goloburda, Yuxia Wang, Preslav Nakov, Fajri Koto |
| 2025 | ACL | Entity Framing and Role Portrayal in the News. | Tarek Mahmoud, Zhuohan Xie, Dimitar Iliyanov Dimitrov, Nikolaos Nikolaidis, Purificao Silvano, Roman Yangarber, Shivam Sharma, Elisa Sartori, Nicolas Stefanovitch, Giovanni Da San Martino, Jakub Piskorski, Preslav Nakov |
| 2025 | ACL | Explicit and Implicit Data Augmentation for Social Event Detection. | Congbo Ma, Yuxia Wang, Jia Wu, Jian Yang, Jing Du, Zitai Qiu, Qing Li, Hu Wang, Preslav Nakov |
| 2025 | ACL | Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts. | Zain Muhammad Mujahid, Dilshod Azizov, Maha Tufail Agro, Preslav Nakov |
| 2025 | ACL | CoDet-M4: Detecting Machine-Generated Code in Multi-Lingual, Multi-Generator and Multi-Domain Settings. | Daniil Orel, Dilshod Azizov, Preslav Nakov |
| 2025 | ACL | Corpus Poisoning via Approximate Greedy Gradient Descent. | Jinyan Su, Preslav Nakov, Claire Cardie |
| 2025 | ACL | KazMMLU: Evaluating Language Models on Kazakh, Russian, and Regional Knowledge of Kazakhstan. | Mukhammed Togmanov, Nurdaulet Mukhituly, Diana Turmakhan, Jonibek Mansurov, Maiya Goloburda, Akhmed Sakip, Zhuohan Xie, Yuxia Wang, Bekassyl Syzdykov, Nurkhan Laiyk, Alham Fikri Aji, Ekaterina Kochmar, Preslav Nakov, Fajri Koto |
| 2025 | ACL | Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework. | Jundong Xu, Hao Fei, Meng Luo, Qian Liu, Liangming Pan, William Yang Wang, Preslav Nakov, Mong-Li Lee, Wynne Hsu |
| 2025 | COLING | Loki: An Open-Source Tool for Fact Verification. | Haonan Li, Xudong Han, Hao Wang, Yuxia Wang, Minghan Wang, Rui Xing, Yilin Geng, Zenan Zhai, Preslav Nakov, Timothy Baldwin |
| 2025 | COLING | Proceedings of the 1st Workshop on GenAI Content Detection (GenAIDetect). | Firoj Alam, Preslav Nakov, Nizar Habash, Iryna Gurevych, Shammur A. Chowdhury, Artem Shelmanov, Yuxia Wang, Ekaterina Artemova, Mucahid Kutlu, Georgios Mikros |
| 2025 | COLING | Exploring the Limitations of Detecting Machine-Generated Text. | Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin, Shady Shehata, Preslav Nakov, Zeerak Talat |
| 2025 | COLING | GenAI Content Detection Task 3: Cross-Domain Machine Generated Text Detection Challenge. | Liam Dugan, Andrew Zhu, Firoj Alam, Preslav Nakov, Marianna Apidianaki, Chris Callison-Burch |
| 2025 | COLING | PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent. | Jiateng Liu, Lin Ai, Zizhou Liu, Payam Karisani, Zheng Hui, Yi Fung, Preslav Nakov, Julia Hirschberg, Heng Ji |
| 2025 | COLING | From Multiple-Choice to Extractive QA: A Case Study for English and Arabic. | Teresa Lynn, Malik H. Altakrori, Samar Mohamed Magdy, Rocktim Jyoti Das, Chenyang Lyu, Mohamed Nasr, Younes Samih, Kirill Chirkunov, Alham Fikri Aji, Preslav Nakov, Shantanu Godbole, Salim Roukos, Radu Florian, Nizar Habash |
| 2025 | COLING | Towards Truly Open, Language-Specific, Safe, Factual, and Specialized Large Language Models. | Preslav Nakov |
| 2025 | COLING | Proceedings of the 12th Workshop on NLP for Similar Languages, Varieties and Dialects. | Yves Scherrer, Tommi Jauhiainen, Nikola Ljubesic, Preslav Nakov, Jrg Tiedemann, Marcos Zampieri |
| 2025 | COLING | Exploring Language Model Generalization in Low-Resource Extractive QA. | Saptarshi Sengupta, Wenpeng Yin, Preslav Nakov, Shreya Ghosh, Suhang Wang |
| 2025 | COLING | TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering. | Saptarshi Sengupta, Connor T. Heaton, Shreya Ghosh, Wenpeng Yin, Preslav Nakov, Suhang Wang |
| 2025 | COLING | Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect. | Guokan Shang, Hadi Abdine, Yousef Khoubrane, Amr Mohamed, Yassine Abbahaddou, Sofiane Ennadir, Imane Momayiz, Xuguang Ren, Eric Moulines, Preslav Nakov, Michalis Vazirgiannis, Eric P. Xing |
| 2025 | COLING | GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human. | Yuxia Wang, Artem Shelmanov, Jonibek Mansurov, Akim Tsvigun, Vladislav Mikhailov, Rui Xing, Zhuohan Xie, Jiahui Geng, Giovanni Puccetti, Ekaterina Artemova, Jinyan Su, Minh Ngoc Ta, Mervat Abassy, Kareem Ashraf Elozeiri, Saad El Dine Ahmed El Etter, Maiya Goloburda, Tarek Mahmoud, Raj Vardhan Tomar, Nurkhan Laiyk, Osama Mohammed Afzal, Ryuto Koike, Masahiro Kaneko, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov |
| 2025 | COLING | OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs. | Yuxia Wang, Minghan Wang, Hasan Iqbal, Georgi Nenkov Georgiev, Jiahui Geng, Iryna Gurevych, Preslav Nakov |
| 2025 | ECIR | The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval. | Firoj Alam, Julia Maria Stru, Tanmoy Chakraborty, Stefan Dietze, Salim Hafid, Katerina Korre, Arianna Muti, Preslav Nakov, Federico Ruggeri, Sebastian Schellhammer, Vinay Setty, Megha Sundriyal, Konstantin Todorov, Venktesh V |
| 2025 | ECIR | Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection - Extended Abstract. | Janek Bevendorff, Daryna Dementieva, Maik Frbe, Bela Gipp, Andr Greiner-Petter, Jussi Karlgren, Maximilian Mayerl, Preslav Nakov, Alexander Panchenko, Martin Potthast, Artem Shelmanov, Efstathios Stamatatos, Benno Stein, Yuxia Wang, Matti Wiegmann, Eva Zangerle |
| 2025 | ECIR | Enhancing FEVER-Style Claim Fact-Checking Against Wikipedia: A Diagnostic Taxonomy and a Generative Framework. | Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov |
| 2025 | ECIR | ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. | Bogdan Ionescu, Henning Mller, Dan-Cristian Stanciu, Ahmad Idrissi-Yaghir, Ahmedkhan Radzhabov, Alba Garca Seco de Herrera, Alexandra Andrei, Andrea M. Stors, Asma Ben Abacha, Benjamin Bracke, Benjamin Lecouteux, Benno Stein, Ccile Macaire, Christoph M. Friedrich, Cynthia Sabrina Schmidt, Diandra Fabre, Didier Schwab, Dimitar Dimitrov, Emmanuelle Esperana-Rodier, Mihai Gabriel Constantin, Helmut Becker, Hendrik Damm, Henning Schfer, Ivan Rodkin, Ivan Koychev, Johannes Kiesel, Johannes Rckert, Josep Malvehy, Liviu-Daniel Stefan, Louise Bloch, Martin Potthast, Maximilian Heinrich, Michael A. Riegler, Mihai Dogariu, Noel Codella, Pl Halvorsen, Preslav Nakov, Raphael Brngel, Roberto A. Novoa, Rocktim Jyoti Das, Steven Alexander Hicks, Sushant Gautam, Tabea Margareta Grace Pakull, Vajira Thambawita, Vassili Kovalev, Wen-Wai Yim, Zhuohan Xie |
| 2025 | EMNLP | UrduFactCheck: An Agentic Fact-Checking Framework for Urdu with Evidence Boosting and Benchmarking. | Sarfraz Ahmad, Hasan Iqbal, Momina Ahsan, Numaan Naeem, Muhammad Ahsan Riaz Khan, Arham Riaz, Muhammad Arslan Manzoor, Yuxia Wang, Preslav Nakov |
| 2025 | EMNLP | Cross-Cultural Transfer of Commonsense Reasoning in LLMs: Evidence from the Arab World. | Saeed Almheiri, Rania Elbadry, Mena Attia, Chenxi Wang, Preslav Nakov, Timothy Baldwin, Fajri Koto |
| 2025 | EMNLP | NarratEX Dataset: Explaining the Dominant Narratives in News Texts. | Nuno Guimares, Purificao Silvano, Ricardo Campos, Alpio Mrio Jorge, Ana Filipa Pacheco, Dimitar Iliyanov Dimitrov, Nikolaos Nikolaidis, Roman Yangarber, Elisa Sartori, Nicolas Stefanovitch, Preslav Nakov, Jakub Piskorski, Giovanni Da San Martino |
| 2025 | EMNLP | Toxicity Red-Teaming: Benchmarking LLM Safety in Singapore's Low-Resource Languages. | Yujia Hu, Ming Shan Hee, Preslav Nakov, Roy Ka-Wei Lee |
| 2025 | EMNLP | Droid: A Resource Suite for AI-Generated Code Detection. | Daniil Orel, Indraneil Paul, Iryna Gurevych, Preslav Nakov |
| 2025 | EMNLP | A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs. | Artem Shelmanov, Ekaterina Fadeeva, Akim Tsvigun, Ivan Tsvigun, Zhuohan Xie, Igor Kiselev, Nico Daheim, Caiqi Zhang, Artem Vazhentsev, Mrinmaya Sachan, Preslav Nakov, Timothy Baldwin |
| 2025 | EMNLP | UNCERTAINTY-LINE: Length-Invariant Estimation of Uncertainty for Large Language Models. | Roman Vashurin, Maiya Goloburda, Preslav Nakov, Maxim Panov |
| 2025 | EMNLP | Unconditional Truthfulness: Learning Unconditional Uncertainty of Large Language Models. | Artem Vazhentsev, Ekaterina Fadeeva, Rui Xing, Gleb Kuzmin, Ivan Lazichny, Alexander Panchenko, Preslav Nakov, Timothy Baldwin, Maxim Panov, Artem Shelmanov |
| 2025 | EMNLP | From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation. | Zhihao Zhang, Yiran Zhang, Xiyue Zhou, Liting Huang, Imran Razzak, Preslav Nakov, Usman Naseem |
| 2025 | IJCNLP | UnsafeChain: Enhancing Reasoning Model Safety via Hard Cases. | Raj Vardhan Tomar, Preslav Nakov, Yuxia Wang |
| 2025 | IROS | MALMM: Multi-Agent Large Language Models for Zero-Shot Robotic Manipulation. | Harsh Singh, Rocktim Jyoti Das, Mingfei Han, Preslav Nakov, Ivan Laptev |
| 2025 | NAACL | Arabic Dataset for LLM Safeguard Evaluation. | Yasser Ashraf, Yuxia Wang, Bin Gu, Preslav Nakov, Timothy Baldwin |
| 2025 | NAACL | A Template Is All You Meme. | Luke Bates, Peter Ebert Christensen, Preslav Nakov, Iryna Gurevych |
| 2025 | NAACL | Grounding Fallacies Misrepresenting Scientific Publications in Evidence. | Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych |
| 2025 | NAACL | Libra-Leaderboard: Towards Responsible AI through a Balanced Leaderboard of Safety and Capability. | Haonan Li, Xudong Han, Zenan Zhai, Honglin Mu, Hao Wang, Zhenxuan Zhang, Yilin Geng, Shom Lin, Renxi Wang, Artem Shelmanov, Xiangyu Qi, Yuxia Wang, Donghai Hong, Youliang Yuan, Meng Chen, Haoqin Tu, Fajri Koto, Cong Zeng, Tatsuki Kuribayashi, Rishabh Bhardwaj, Bingchen Zhao, Yawen Duan, Yi Liu, Emad A. Alghamdi, Yaodong Yang, Yinpeng Dong, Soujanya Poria, Pengfei Liu, Zhengzhong Liu, Xuguang Ren, Eduard H. Hovy, Iryna Gurevych, Preslav Nakov, Monojit Choudhury, Timothy Baldwin |
| 2025 | NAACL | TART: An Open-Source Tool-Augmented Framework for Explainable Table-based Reasoning. | Xinyuan Lu, Liangming Pan, Yubo Ma, Preslav Nakov, Min-Yen Kan |
| 2025 | NAACL | MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media. | Muhammad Arslan Manzoor, Ruihong Zeng, Dilshod Azizov, Preslav Nakov, Shangsong Liang |
| 2025 | NAACL | FIRE: Fact-checking with Iterative Retrieval and Verification. | Zhuohan Xie, Rui Xing, Yuxia Wang, Jiahui Geng, Hasan Iqbal, Dhruv Sahnan, Iryna Gurevych, Preslav Nakov |
| 2024 | ACL | MemeMQA: Multimodal Question Answering for Memes via Rationale-Based Inferencing. | Siddhant Agarwal, Shivam Sharma, Preslav Nakov, Tanmoy Chakraborty |
| 2024 | ACL | Large Language Models are Few-Shot Training Example Generators: A Case Study in Fallacy Recognition. | Tariq Alhindi, Smaranda Muresan, Preslav Nakov |
| 2024 | ACL | EXAMS-V: A Multi-Discipline Multilingual Multimodal Exam Benchmark for Evaluating Vision Language Models. | Rocktim Jyoti Das, Simeon Emilov Hristov, Haonan Li, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov |
| 2024 | ACL | Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification. | Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov, Sergey Petrakov, Haonan Li, Hamdy Mubarak, Evgenii Tsymbalov, Gleb Kuzmin, Alexander Panchenko, Timothy Baldwin, Preslav Nakov, Maxim Panov |
| 2024 | ACL | Missci: Reconstructing Fallacies in Misrepresented Science. | Max Glockner, Yufang Hou, Preslav Nakov, Iryna Gurevych |
| 2024 | ACL | ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic. | Fajri Koto, Haonan Li, Sara Shatnawi, Jad Doughman, Abdelrahman Boda Sadallah, Aisha Alraeesi, Khalid Almubarak, Zaid Alyafeai, Neha Sengupta, Shady Shehata, Nizar Habash, Preslav Nakov, Timothy Baldwin |
| 2024 | ACL | A Survey on Predicting the Factuality and the Bias of News Media. | Preslav Nakov, Jisun An, Haewoon Kwak, Muhammad Arslan Manzoor, Zain Muhammad Mujahid, Husrev T. Sencar |
| 2024 | ACL | M4GT-Bench: Evaluation Benchmark for Black-Box Machine-Generated Text Detection. | Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Osama Mohammed Afzal, Tarek Mahmoud, Giovanni Puccetti, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov |
| 2024 | ACL | A Chinese Dataset for Evaluating the Safeguards in Large Language Models. | Yuxia Wang, Zenan Zhai, Haonan Li, Xudong Han, Shom Lin, Zhenxuan Zhang, Angela Zhao, Preslav Nakov, Timothy Baldwin |
| 2024 | AIMSA | Multimodal Sentiment Analysis: Recognizing Sentiment in Memes. | Georgi Vankov, Dimitar Dimitrov, Ivan Koychev, Preslav Nakov |
| 2024 | AsiaCCS | Semantic Ranking for Automated Adversarial Technique Annotation in Security Text. | Udesh Kumarasinghe, Ahmed Lekssays, Husrev Taha Sencar, Sabri Boughorbel, Charitha Elvitigala, Preslav Nakov |
| 2024 | COLING | Saliency-Aware Interpolative Augmentation for Multimodal Financial Prediction. | Samyak Jain, Parth Chhabra, Atula Tejaswi Neerkaje, Puneet Mathur, Ramit Sawhney, Shivam Agarwal, Preslav Nakov, Sudheer Chava, Dinesh Manocha |
| 2024 | COLING | DocScript: Document-level Script Event Prediction. | Puneet Mathur, Vlad I. Morariu, Aparna Garimella, Franck Dernoncourt, Jiuxiang Gu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha, Rajiv Jain |
| 2024 | COLING | Data-Informed Global Sparseness in Attention Mechanisms for Deep Neural Networks. | Ileana Rugina, Rumen Dangovski, Li Jing, Preslav Nakov, Marin Soljacic |
| 2024 | COLING | RISE: Robust Early-exiting Internal Classifiers for Suicide Risk Evaluation. | Ritesh Singh Soun, Atula Tejaswi Neerkaje, Ramit Sawhney, Nikolaos Aletras, Preslav Nakov |
| 2024 | EACL | Unleashing the Power of Discourse-Enhanced Transformers for Propaganda Detection. | Alexander Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov |
| 2024 | EACL | Do-Not-Answer: Evaluating Safeguards in LLMs. | Yuxia Wang, Haonan Li, Xudong Han, Preslav Nakov, Timothy Baldwin |
| 2024 | EACL | M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection. | Yuxia Wang, Jonibek Mansurov, Petar Ivanov, Jinyan Su, Artem Shelmanov, Akim Tsvigun, Chenxi Whitehouse, Osama Mohammed Afzal, Tarek Mahmoud, Toru Sasaki, Thomas Arnold, Alham Fikri Aji, Nizar Habash, Iryna Gurevych, Preslav Nakov |
| 2024 | EACL | Rethinking STS and NLI in Large Language Models. | Yuxia Wang, Minghan Wang, Preslav Nakov |
| 2024 | ECIR | The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness. | Alberto Barrn-Cedeo, Firoj Alam, Tanmoy Chakraborty, Tamer Elsayed, Preslav Nakov, Piotr Przybyla, Julia Maria Stru, Fatima Haouari, Maram Hasanain, Federico Ruggeri, Xingyi Song, Reem Suwaileh |
| 2024 | EMNLP | LLM-DetectAIve: a Tool for Fine-Grained Machine-Generated Text Detection. | Mervat Abassy, Kareem Ashraf Elozeiri, Alexander Aziz, Minh Ngoc Ta, Raj Vardhan Tomar, Bimarsha Adhikari, Saad El Dine Ahmed, Yuxia Wang, Osama Mohammed Afzal, Zhuohan Xie, Jonibek Mansurov, Ekaterina Artemova, Vladislav Mikhailov, Rui Xing, Jiahui Geng, Hasan Iqbal, Zain Muhammad Mujahid, Tarek Mahmoud, Akim Tsvigun, Alham Fikri Aji, Artem Shelmanov, Nizar Habash, Iryna Gurevych, Preslav Nakov |
| 2024 | EMNLP | SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles. | Dilshod Azizov, Zain Muhammad Mujahid, Hilal AlQuabeh, Preslav Nakov, Shangsong Liang |
| 2024 | EMNLP | Recent Advances in Online Hate Speech Moderation: Multimodality and the Role of Large Models. | Ming Shan Hee, Shivam Sharma, Rui Cao, Palash Nandi, Preslav Nakov, Tanmoy Chakraborty, Roy Ka-Wei Lee |
| 2024 | EMNLP | OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs. | Hasan Iqbal, Yuxia Wang, Minghan Wang, Georgi Nenkov Georgiev, Jiahui Geng, Iryna Gurevych, Preslav Nakov |
| 2024 | EMNLP | Can Machines Resonate with Humans? Evaluating the Emotional and Empathic Comprehension of LMs. | Muhammad Arslan Manzoor, Yuxia Wang, Minghan Wang, Preslav Nakov |
| 2024 | EMNLP | DocEdit-v2: Document Structure Editing Via Multimodal LLM Grounding. | Manan Suri, Puneet Mathur, Franck Dernoncourt, Rajiv Jain, Vlad I. Morariu, Ramit Sawhney, Preslav Nakov, Dinesh Manocha |
| 2024 | EMNLP | Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers. | Yuxia Wang, Revanth Gangi Reddy, Zain Muhammad Mujahid, Arnav Arora, Aleksandr Rubashevskii, Jiahui Geng, Osama Mohammed Afzal, Liangming Pan, Nadav Borenstein, Aditya Pillai, Isabelle Augenstein, Iryna Gurevych, Preslav Nakov |
| 2024 | EMNLP | Factuality of Large Language Models: A Survey. | Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, Fei Liu, Georgi Nenkov Georgiev, Rocktim Jyoti Das, Preslav Nakov |
| 2024 | ICASSP | Detecting Check-Worthy Claims in Political Debates, Speeches, and Interviews Using Audio Data. | Petar Ivanov, Ivan Koychev, Momchil Hardalov, Preslav Nakov |
| 2024 | ICLR | Doc2Command: Furthering Language Guided Document Editing. | Manan Suri, Puneet Mathur, Ramit Sawhney, Preslav Nakov, Dinesh Manocha |
| 2024 | Interspeech | AraOffence: Detecting Offensive Speech Across Dialects in Arabic Media. | Youssef Nafea, Shady Shehata, Zeerak Talat, Ahmed Aboeitta, Ahmed Sharshar, Preslav Nakov |
| 2024 | ICWSM | Clock against Chaos: Dynamic Assessment and Temporal Intervention in Reducing Misinformation Propagation. | Shreya Ghosh, Prasenjit Mitra, Preslav Nakov |
| 2024 | NAACL | A Survey of Confidence Estimation and Calibration in Large Language Models. | Jiahui Geng, Fengyu Cai, Yuxia Wang, Heinz Koeppl, Preslav Nakov, Iryna Gurevych |
| 2024 | NAACL | Adapting Fake News Detection to the Era of Large Language Models. | Jinyan Su, Claire Cardie, Preslav Nakov |
| 2023 | AAAI | Can You Answer This? - Exploring Zero-Shot QA Generalization Capabilities in Large Language Models (Student Abstract). | Saptarshi Sengupta, Shreya Ghosh, Preslav Nakov, Prasenjit Mitra |
| 2023 | AAAI | What Do You MEME? Generating Explanations for Visual Semantic Role Labelling in Memes. | Shivam Sharma, Siddhant Agarwal, Tharun Suresh, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | ACL | bgGLUE: A Bulgarian General Language Understanding Evaluation Benchmark. | Momchil Hardalov, Pepa Atanasova, Todor Mihaylov, Galia Angelova, Kiril Simov, Petya Osenova, Veselin Stoyanov, Ivan Koychev, Preslav Nakov, Dragomir Radev |
| 2023 | ACL | Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation. | Kung-Hsiang Huang, Kathleen R. McKeown, Preslav Nakov, Yejin Choi, Heng Ji |
| 2023 | ACL | Fact-Checking Complex Claims with Program-Guided Reasoning. | Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov |
| 2023 | ACL | Multilingual Multifaceted Understanding of Online News in Terms of Genre, Framing, and Persuasion Techniques. | Jakub Piskorski, Nicolas Stefanovitch, Nikolaos Nikolaidis, Giovanni Da San Martino, Preslav Nakov |
| 2023 | ACL | Target-Based Offensive Language Identification. | Marcos Zampieri, Skye Morgan, Kai North, Tharindu Ranasinghe, Austin Simmmons, Paridhi Khandelwal, Sara Rosenthal, Preslav Nakov |
| 2023 | EACL | Paper Bullets: Modeling Propaganda with the Help of Metaphor. | Daniel Baleato Rodrguez, Verna Dankers, Preslav Nakov, Ekaterina Shutova |
| 2023 | EACL | Characterizing the Entities in Harmful Memes: Who is the Hero, the Villain, the Victim? | Shivam Sharma, Atharva Kulkarni, Tharun Suresh, Himanshi Mathur, Preslav Nakov, Md. Shad Akhtar, Tanmoy Chakraborty |
| 2023 | ECIR | The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority. | Alberto Barrn-Cedeo, Firoj Alam, Tommaso Caselli, Giovanni Da San Martino, Tamer Elsayed, Andrea Galassi, Fatima Haouari, Federico Ruggeri, Julia Maria Stru, Rabindra Nath Nandi, Gullal S. Cheema, Dilshod Azizov, Preslav Nakov |
| 2023 | EMNLP | Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media. | Shubham Mittal, Megha Sundriyal, Preslav Nakov |
| 2023 | EMNLP | SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tables. | Xinyuan Lu, Liangming Pan, Qian Liu, Preslav Nakov, Min-Yen Kan |
| 2023 | EMNLP | QACheck: A Demonstration System for Question-Guided Multi-Hop Fact-Checking. | Liangming Pan, Xinyuan Lu, Min-Yen Kan, Preslav Nakov |
| 2023 | EMNLP | On the Risk of Misinformation Pollution with Large Language Models. | Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang |
| 2023 | EMNLP | Detecting Propaganda Techniques in Code-Switched Social Media Text. | Muhammad Umar Salman, Asif Hanif, Shady Shehata, Preslav Nakov |
| 2023 | EMNLP | From Chaos to Clarity: Claim Normalization to Empower Fact-Checking. | Megha Sundriyal, Tanmoy Chakraborty, Preslav Nakov |
| 2023 | EMNLP | DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text. | Jinyan Su, Terry Yue Zhuo, Di Wang, Preslav Nakov |
| 2023 | ICWSM | Partisan US News Media Representations of Syrian Refugees. | Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur R. KhudaBukhsh, Chris T. Bauch, Preslav Nakov, Orestis Papakyriakopoulos, Koustuv Saha, Kaveh Khoshnood, Navin Kumar |
| 2023 | RANLP | Enriched Pre-trained Transformers for Joint Slot Filling and Intent Detection. | Momchil Hardalov, Ivan Koychev, Preslav Nakov |
| 2023 | SIGIR | Learning Through Interpolative Augmentation of Dynamic Curvature Spaces. | Parth Chhabra, Atula Tejaswi Neerkaje, Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Sudheer Chava |
| 2022 | AAAI | Few-Shot Cross-Lingual Stance Detection with Sentiment-Based Pre-training. | Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein |
| 2022 | COLING | A Survey on Multimodal Disinformation Detection. | Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nakov |
| 2022 | ECIR | The CLEF-2022 CheckThat! Lab on Fighting the COVID-19 Infodemic and Fake News Detection. | Preslav Nakov, Alberto Barrn-Cedeo, Giovanni Da San Martino, Firoj Alam, Julia Maria Stru, Thomas Mandl, Rubn Mguez, Tommaso Caselli, Mcahid Kutlu, Wajdi Zaghouani, Chengkai Li, Shaden Shaar, Gautam Kishore Shahi, Hamdy Mubarak, Alex Nikolov, Nikolay Babulkov, Yavuz Selim Kartal, Javier Beltrn |
| 2022 | ECIR | Leaf: Multiple-Choice Question Generation. | Kristiyan Vachev, Momchil Hardalov, Georgi Karadzhov, Georgi Georgiev, Ivan Koychev, Preslav Nakov |
| 2022 | EMNLP | PASTA: Table-Operations Aware Fact Verification via Sentence-Table Cloze Pre-training. | Zihui Gu, Ju Fan, Nan Tang, Preslav Nakov, Xiaoman Zhao, Xiaoyong Du |
| 2022 | EMNLP | GREENER: Graph Neural Networks for News Media Profiling. | Panayot Panayotov, Utsav Shukla, Husrev Taha Sencar, Mohamed Nabeel, Preslav Nakov |
| 2022 | EMNLP | NewsClaims: A New Benchmark for Claim Detection from News with Attribute Knowledge. | Revanth Gangi Reddy, Sai Chetan Chinthakindi, Zhenhailong Wang, Yi R. Fung, Kathryn Conger, Ahmed Elsayed, Martha Palmer, Preslav Nakov, Eduard H. Hovy, Kevin Small, Heng Ji |
| 2022 | EMNLP | Assisting the Human Fact-Checkers: Detecting All Previously Fact-Checked Claims in a Document. | Shaden Shaar, Nikola Georgiev, Firoj Alam, Giovanni Da San Martino, Aisha Mohamed, Preslav Nakov |
| 2022 | ICDM | THINK: Temporal Hypergraph Hyperbolic Network. | Shivam Agarwal, Ramit Sawhney, Megh Thakkar, Preslav Nakov, Jiawei Han, Tyler Derr |
| 2022 | IJCAI | Detecting and Understanding Harmful Memes: A Survey. | Shivam Sharma, Firoj Alam, Md. Shad Akhtar, Dimitar Dimitrov, Giovanni Da San Martino, Hamed Firooz, Alon Y. Halevy, Fabrizio Silvestri, Preslav Nakov, Tanmoy Chakraborty |
| 2022 | IJCNLP | CrowdChecked: Detecting Previously Fact-Checked Claims in Social Media. | Momchil Hardalov, Anton Chernyavskiy, Ivan Koychev, Dmitry Ilvovsky, Preslav Nakov |
| 2022 | IJCNN | FbMultiLingMisinfo: Challenging Large-Scale Multilingual Benchmark for Misinformation Detection. | Giorgio Barnab, Federico Siciliano, Carlos Castillo, Stefano Leonardi, Preslav Nakov, Giovanni Da San Martino, Fabrizio Silvestri |
| 2022 | KDD | The Battlefront of Combating Misinformation and Coping with Media Bias. | Yi R. Fung, Kung-Hsiang Huang, Preslav Nakov, Heng Ji |
| 2022 | NAACL | Batch-Softmax Contrastive Loss for Pairwise Sentence Scoring Tasks. | Anton Chernyavskiy, Dmitry Ilvovsky, Pavel Kalinin, Preslav Nakov |
| 2022 | NAACL | A Survey on Stance Detection for Mis- and Disinformation Identification. | Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein |
| 2022 | NAACL | The Role of Context in Detecting Previously Fact-Checked Claims. | Shaden Shaar, Firoj Alam, Giovanni Da San Martino, Preslav Nakov |
| 2022 | NAACL | DISARM: Detecting the Victims Targeted by Harmful Memes. | Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty |
| 2022 | WWW | Accepted Tutorials at The Web Conference 2022. | Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He |
| 2022 | SIGIR | Towards Suicide Ideation Detection Through Online Conversational Context. | Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek |
| 2022 | WSDM | Half-Day Tutorial on Combating Online Hate Speech: The Role of Content, Networks, Psychology, User Behavior, etc. | Sarah Masud, Pinkesh Pinkesh, Amitava Das, Manish Gupta, Preslav Nakov, Tanmoy Chakraborty |
| 2022 | WSDM | Fact-Checking, Fake News, Propaganda, Media Bias, and the COVID-19 Infodemic. | Preslav Nakov, Giovanni Da San Martino, Firoj Alam |
| 2021 | AAAI | We Can Explain Your Research in Layman's Terms: Towards Automating Science Journalism at Scale. | Rumen Dangovski, Michelle Shen, Dawson Byrd, Li Jing, Desislava Tsvetkova, Preslav Nakov, Marin Soljacic |
| 2021 | ACL | Detecting Propaganda Techniques in Memes. | Dimitar Dimitrov, Bishr Bin Ali, Shaden Shaar, Firoj Alam, Fabrizio Silvestri, Hamed Firooz, Preslav Nakov, Giovanni Da San Martino |
| 2021 | ACL | Detecting Harmful Memes and Their Targets. | Shraman Pramanick, Dimitar Dimitrov, Rituparna Mukherjee, Shivam Sharma, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty |
| 2021 | ACL | SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification. | Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, Preslav Nakov |
| 2021 | CIKM | WhatTheWikiFact: Fact-Checking Claims Against Wikipedia. | Anton Chernyavskiy, Dmitry Ilvovsky, Preslav Nakov |
| 2021 | CIKM | Fake News, Disinformation, Propaganda, and Media Bias. | Preslav Nakov, Giovanni Da San Martino |
| 2021 | ECIR | The CLEF-2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News. | Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed, Alberto Barrn-Cedeo, Rubn Mguez, Shaden Shaar, Firoj Alam, Fatima Haouari, Maram Hasanain, Nikolay Babulkov, Alex Nikolov, Gautam Kishore Shahi, Julia Maria Stru, Thomas Mandl |
| 2021 | EMNLP | RuleBERT: Teaching Soft Rules to Pre-Trained Language Models. | Mohammed Saeed, Naser Ahmadi, Preslav Nakov, Paolo Papotti |
| 2021 | EMNLP | Fighting the COVID-19 Infodemic: Modeling the Perspective of Journalists, Fact-Checkers, Social Media Platforms, Policy Makers, and the Society. | Firoj Alam, Shaden Shaar, Fahim Dalvi, Hassan Sajjad, Alex Nikolov, Hamdy Mubarak, Giovanni Da San Martino, Ahmed Abdelali, Nadir Durrani, Kareem Darwish, Abdulaziz Al-Homaid, Wajdi Zaghouani, Tommaso Caselli, Gijs Danoe, Friso Stolk, Britt Bruntink, Preslav Nakov |
| 2021 | EMNLP | Cross-Domain Label-Adaptive Stance Detection. | Momchil Hardalov, Arnav Arora, Preslav Nakov, Isabelle Augenstein |
| 2021 | EMNLP | MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets. | Shraman Pramanick, Shivam Sharma, Dimitar Dimitrov, Md. Shad Akhtar, Preslav Nakov, Tanmoy Chakraborty |
| 2021 | IJCAI | Automated Fact-Checking for Assisting Human Fact-Checkers. | Preslav Nakov, David P. A. Corney, Maram Hasanain, Firoj Alam, Tamer Elsayed, Alberto Barrn-Cedeo, Paolo Papotti, Shaden Shaar, Giovanni Da San Martino |
| 2021 | ICWSM | Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms. | Firoj Alam, Fahim Dalvi, Shaden Shaar, Nadir Durrani, Hamdy Mubarak, Alex Nikolov, Giovanni Da San Martino, Ahmed Abdelali, Hassan Sajjad, Kareem Darwish, Preslav Nakov |
| 2021 | KDD | Fake News, Disinformation, Propaganda, Media Bias, and Flattening the Curve of the COVID-19 Infodemic. | Preslav Nakov, Giovanni Da San Martino |
| 2021 | RANLP | Predicting the Factuality of Reporting of News Media Using Observations about User Attention in Their YouTube Channels. | Krasimira Bozhanova, Yoan Dinkov, Ivan Koychev, Maria Castaldo, Tommaso Venturini, Preslav Nakov |
| 2021 | RANLP | COVID-19 in Bulgarian Social Media: Factuality, Harmfulness, Propaganda, and Framing. | Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang |
| 2021 | RANLP | A Second Pandemic? Analysis of Fake News about COVID-19 Vaccines in Qatar. | Preslav Nakov, Firoj Alam, Shaden Shaar, Giovanni Da San Martino, Yifan Zhang |
| 2021 | RANLP | Interpretable Propaganda Detection in News Articles. | Seunghak Yu, Giovanni Da San Martino, Mitra Mohtarami, James R. Glass, Preslav Nakov |
| 2020 | ACL | What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context. | Ramy Baly, Georgi Karadzhov, Jisun An, Haewoon Kwak, Yoan Dinkov, Ahmed Ali, James R. Glass, Preslav Nakov |
| 2020 | ACL | Prta: A System to Support the Analysis of Propaganda Techniques in the News. | Giovanni Da San Martino, Shaden Shaar, Yifan Zhang, Seunghak Yu, Alberto Barrn-Cedeo, Preslav Nakov |
| 2020 | ACL | That is a Known Lie: Detecting Previously Fact-Checked Claims. | Shaden Shaar, Nikolay Babulkov, Giovanni Da San Martino, Preslav Nakov |
| 2020 | ACL | Predicting the Topical Stance and Political Leaning of Media using Tweets. | Peter Stefanov, Kareem Darwish, Atanas Atanasov, Preslav Nakov |
| 2020 | CIKM | FANG: Leveraging Social Context for Fake News Detection Using Graph Representation. | Van-Hoang Nguyen, Kazunari Sugiyama, Preslav Nakov, Min-Yen Kan |
| 2020 | ECIR | CheckThat! at CLEF 2020: Enabling the Automatic Identification and Verification of Claims in Social Media. | Alberto Barrn-Cedeo, Tamer Elsayed, Preslav Nakov, Giovanni Da San Martino, Maram Hasanain, Reem Suwaileh, Fatima Haouari |
| 2020 | EMNLP | We Can Detect Your Bias: Predicting the Political Ideology of News Articles. | Ramy Baly, Giovanni Da San Martino, James R. Glass, Preslav Nakov |
| 2020 | EMNLP | EXAMS: A Multi-subject High School Examinations Dataset for Cross-lingual and Multilingual Question Answering. | Momchil Hardalov, Todor Mihaylov, Dimitrina Zlatkova, Yoan Dinkov, Ivan Koychev, Preslav Nakov |
| 2020 | EMNLP | Vector-Vector-Matrix Architecture: A Novel Hardware-Aware Framework for Low-Latency Inference in NLP Applications. | Matthew Khoury, Rumen Dangovski, Longwu Ou, Preslav Nakov, Yichen Shen, Li Jing |
| 2020 | EMNLP | Fact-Checking, Fake News, Propaganda, and Media Bias: Truth Seeking in the Post-Truth Era. | Preslav Nakov, Giovanni Da San Martino |
| 2020 | IJCAI | A Survey on Computational Propaganda Detection. | Giovanni Da San Martino, Stefano Cresci, Alberto Barrn-Cedeo, Seunghak Yu, Roberto Di Pietro, Preslav Nakov |
| 2020 | ICWSM | Unsupervised User Stance Detection on Twitter. | Kareem Darwish, Peter Stefanov, Michal J. Aupetit, Preslav Nakov |
| 2019 | AAAI | Proppy: A System to Unmask Propaganda in Online News. | Alberto Barrn-Cedeo, Giovanni Da San Martino, Israa Jaradat, Preslav Nakov |
| 2019 | ASRU | Detecting Deception in Political Debates Using Acoustic and Textual Features. | Daniel Kopev, Ahmed Ali, Ivan Koychev, Preslav Nakov |
| 2019 | CoNLL | Predicting the Role of Political Trolls in Social Media. | Atanas Atanasov, Gianmarco De Francisci Morales, Preslav Nakov |
| 2019 | ECIR | CheckThat! at CLEF 2019: Automatic Identification and Verification of Claims. | Tamer Elsayed, Preslav Nakov, Alberto Barrn-Cedeo, Maram Hasanain, Reem Suwaileh, Giovanni Da San Martino, Pepa Atanasova |
| 2019 | ECIR | Dense vs. Sparse Representations for News Stream Clustering. | Todor Staykovski, Alberto Barrn-Cedeo, Giovanni Da San Martino, Preslav Nakov |
| 2019 | EMNLP | Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite. | Prathyusha Jwalapuram, Shafiq R. Joty, Irina P. Temnikova, Preslav Nakov |
| 2019 | EMNLP | Fine-Grained Analysis of Propaganda in News Article. | Giovanni Da San Martino, Seunghak Yu, Alberto Barrn-Cedeo, Rostislav Petrov, Preslav Nakov |
| 2019 | EMNLP | Contrastive Language Adaptation for Cross-Lingual Stance Detection. | Mitra Mohtarami, James R. Glass, Preslav Nakov |
| 2019 | EMNLP | Tanbih: Get To Know What You Are Reading. | Yifan Zhang, Giovanni Da San Martino, Alberto Barrn-Cedeo, Salvatore Romeo, Jisun An, Haewoon Kwak, Todor Staykovski, Israa Jaradat, Georgi Karadzhov, Ramy Baly, Kareem Darwish, James R. Glass, Preslav Nakov |
| 2019 | EMNLP | Fact-Checking Meets Fauxtography: Verifying Claims About Images. | Dimitrina Zlatkova, Preslav Nakov, Ivan Koychev |
| 2019 | Interspeech | Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information. | Yoan Dinkov, Ahmed Ali, Ivan Koychev, Preslav Nakov |
| 2019 | NAACL | Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media. | Ramy Baly, Georgi Karadzhov, Abdelrhman Saleh, James R. Glass, Preslav Nakov |
| 2019 | NAACL | One Size Does Not Fit All: Comparing NMT Representations of Different Granularities. | Nadir Durrani, Fahim Dalvi, Hassan Sajjad, Yonatan Belinkov, Preslav Nakov |
| 2019 | NAACL | Predicting the Type and Target of Offensive Posts in Social Media. | Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, Ritesh Kumar |
| 2019 | RANLP | Detecting Toxicity in News Articles: Application to Bulgarian. | Yoan Dinkov, Ivan Koychev, Preslav Nakov |
| 2019 | RANLP | Beyond English-Only Reading Comprehension: Experiments in Zero-shot Multilingual Transfer for Bulgarian. | Momchil Hardalov, Ivan Koychev, Preslav Nakov |
| 2019 | RANLP | A Morpho-Syntactically Informed LSTM-CRF Model for Named Entity Recognition. | Lilia Simeonova, Kiril Simov, Petya Osenova, Preslav Nakov |
| 2019 | RANLP | It Takes Nine to Smell a Rat: Neural Multi-Task Learning for Check-Worthiness Prediction. | Slavena Vasileva, Pepa Atanasova, Llus Mrquez, Alberto Barrn-Cedeo, Preslav Nakov |
| 2019 | SIGIR | Evaluating Variable-Length Multiple-Option Lists in Chatbots and Mobile Search. | Pepa Atanasova, Georgi Karadzhov, Yasen Kiprov, Preslav Nakov, Fabrizio Sebastiani |
| 2018 | AAAI | Fact Checking in Community Forums. | Tsvetomila Mihaylova, Preslav Nakov, Llus Mrquez, Alberto Barrn-Cedeo, Mitra Mohtarami, Georgi Karadzhov, James R. Glass |
| 2018 | AIMSA | Towards Automated Customer Support. | Momchil Hardalov, Ivan Koychev, Preslav Nakov |
| 2018 | AIMSA | Recursive Style Breach Detection with Multifaceted Ensemble Learning. | Daniel Kopev, Dimitrina Zlatkova, Kristiyan Mitov, Atanas Atanasov, Momchil Hardalov, Ivan Koychev, Preslav Nakov |
| 2018 | AIMSA | Towards Constructing a Corpus for Studying the Effects of Treatments and Substances Reported in PubMed Abstracts. | Evgeni Stefchov, Galia Angelova, Preslav Nakov |
| 2018 | EMNLP | Predicting Factuality of Reporting and Bias of News Media Sources. | Ramy Baly, Georgi Karadzhov, Dimitar Alexandrov, James R. Glass, Preslav Nakov |
| 2018 | EMNLP | Joint Multitask Learning for Community Question Answering Using Task-Specific Embeddings. | Shafiq R. Joty, Llus Mrquez, Preslav Nakov |
| 2018 | EMNLP | Adversarial Domain Adaptation for Duplicate Question Detection. | Darsh J. Shah, Tao Lei, Alessandro Moschitti, Salvatore Romeo, Preslav Nakov |
| 2018 | NAACL | Integrating Stance Detection and Fact Checking in a Unified Corpus. | Ramy Baly, Mitra Mohtarami, James R. Glass, Llus Mrquez, Alessandro Moschitti, Preslav Nakov |
| 2018 | NAACL | ClaimRank: Detecting Check-Worthy Claims in Arabic and English. | Israa Jaradat, Pepa Gencheva, Alberto Barrn-Cedeo, Llus Mrquez, Preslav Nakov |
| 2018 | NAACL | Automatic Stance Detection Using End-to-End Memory Networks. | Mitra Mohtarami, Ramy Baly, James R. Glass, Preslav Nakov, Llus Mrquez, Alessandro Moschitti |
| 2017 | ASRU | WERD: Using social text spelling variants for evaluating dialectal speech recognition. | Ahmed Ali, Preslav Nakov, Peter Bell, Steve Renals |
| 2017 | CoNLL | Cross-language Learning with Adversarial Neural Networks. | Shafiq R. Joty, Preslav Nakov, Llus Mrquez, Israa Jaradat |
| 2017 | RANLP | Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics. | Martin Boyanov, Preslav Nakov, Alessandro Moschitti, Giovanni Da San Martino, Ivan Koychev |
| 2017 | RANLP | A Context-Aware Approach for Detecting Worth-Checking Claims in Political Debates. | Pepa Gencheva, Preslav Nakov, Llus Mrquez, Alberto Barrn-Cedeo, Ivan Koychev |
| 2017 | RANLP | We Built a Fake News / Click Bait Filter: What Happened Next Will Blow Your Mind! | Georgi Karadzhov, Pepa Gencheva, Preslav Nakov, Ivan Koychev |
| 2017 | RANLP | Fully Automated Fact Checking Using External Sources. | Georgi Karadzhov, Preslav Nakov, Llus Mrquez, Alberto Barrn-Cedeo, Ivan Koychev |
| 2017 | RANLP | Do Not Trust the Trolls: Predicting Credibility in Community Question Answering Forums. | Preslav Nakov, Tsvetomila Mihaylova, Llus Mrquez, Yashkumar Shiroya, Ivan Koychev |
| 2017 | RANLP | Robust Tuning Datasets for Statistical Machine Translation. | Preslav Nakov, Stephan Vogel |
| 2017 | SIGIR | Cross-Language Question Re-Ranking. | Giovanni Da San Martino, Salvatore Romeo, Alberto Barrn-Cedeo, Shafiq R. Joty, Llus Mrquez, Alessandro Moschitti, Preslav Nakov |
| 2017 | SIGIR | Large-Scale Goodness Polarity Lexicons for Community Question Answering. | Todor Mihaylov, Daniel Balchev, Yasen Kiprov, Ivan Koychev, Preslav Nakov |
| 2016 | ACL | Machine Translation Evaluation Meets Community Question Answering. | Francisco Guzmn, Llus Mrquez, Preslav Nakov |
| 2016 | ACL | Hunting for Troll Comments in News Community Forums. | Todor Mihaylov, Preslav Nakov |
| 2016 | AIMSA | In Search of Credible News. | Momchil Hardalov, Ivan Koychev, Preslav Nakov |
| 2016 | CICLING | Bi-text Alignment of Movie Subtitles for Spoken English-Arabic Statistical Machine Translation. | Fahad Al-Obaidli, Stephen Cox, Preslav Nakov |
| 2016 | CICLING | Enabling Medical Translation for Low-Resource Languages. | Ahmad Musleh, Nadir Durrani, Irina P. Temnikova, Preslav Nakov, Stephan Vogel, Osama Alsaad |
| 2016 | COLING | An Interactive System for Exploring Community Question Answering Forums. | Enamul Hoque, Shafiq R. Joty, Llus Mrquez, Alberto Barrn-Cedeo, Giovanni Da San Martino, Alessandro Moschitti, Preslav Nakov, Salvatore Romeo, Giuseppe Carenini |
| 2016 | COLING | On the Impact of Seed Words on Sentiment Polarity Lexicon Induction. | Dame Jovanoski, Veno Pachovski, Preslav Nakov |
| 2016 | EMNLP | It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering. | Preslav Nakov, Llus Mrquez, Francisco Guzmn |
| 2016 | NAACL | Joint Learning with Global Inference for Comment Classification in Community Question Answering. | Shafiq R. Joty, Llus Mrquez, Preslav Nakov |
| 2016 | SIGIR | SIGIR 2016 Workshop WebQA II: Web Question Answering Beyond Factoids. | Alessandro Moschitti, Llus Mrquez, Preslav Nakov, Eugene Agichtein, Charles L. A. Clarke, Idan Szpektor |
| 2015 | ACL | Thread-Level Information for Comment Classification in Community Question Answering. | Alberto Barrn-Cedeo, Simone Filice, Giovanni Da San Martino, Shafiq R. Joty, Llus Mrquez, Preslav Nakov, Alessandro Moschitti |
| 2015 | ACL | Pairwise Neural Machine Translation Evaluation. | Francisco Guzmn, Shafiq R. Joty, Llus Mrquez, Preslav Nakov |
| 2015 | CoNLL | Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length. | Francisco Guzmn, Preslav Nakov, Stephan Vogel |
| 2015 | CoNLL | Finding Opinion Manipulation Trolls in News Community Forums. | Todor Mihaylov, Georgi Georgiev, Preslav Nakov |
| 2015 | EMNLP | Global Thread-level Inference for Comment Classification in Community Question Answering. | Shafiq R. Joty, Alberto Barrn-Cedeo, Giovanni Da San Martino, Simone Filice, Llus Mrquez, Alessandro Moschitti, Preslav Nakov |
| 2015 | RANLP | Sentiment Analysis in Twitter for Macedonian. | Dame Jovanoski, Veno Pachovski, Preslav Nakov |
| 2015 | RANLP | Fine-Grained Sentiment Analysis for Movie Reviews in Bulgarian. | Borislav Kapukaranov, Preslav Nakov |
| 2015 | RANLP | Exposing Paid Opinion Manipulation Trolls. | Todor Mihaylov, Ivan Koychev, Georgi Georgiev, Preslav Nakov |
| 2014 | ACL | Using Discourse Structure Improves Machine Translation Evaluation. | Francisco Guzmn, Shafiq R. Joty, Llus Mrquez, Preslav Nakov |
| 2014 | COLING | A Study of using Syntactic and Semantic Structures for Concept Segmentation and Labeling. | Iman Saleh, Scott Cyphers, James R. Glass, Shafiq R. Joty, Llus Mrquez i Villodre, Alessandro Moschitti, Preslav Nakov |
| 2014 | EMNLP | Predicting Dialect Variation in Immigrant Contexts Using Light Verb Constructions. | A. Seza Dogruz, Preslav Nakov |
| 2014 | EMNLP | Learning to Differentiate Better from Worse Translations. | Francisco Guzmn, Shafiq R. Joty, Llus Mrquez, Alessandro Moschitti, Preslav Nakov, Massimo Nicosia |
| 2014 | EMNLP | Semantic Kernels for Semantic Parsing. | Iman Saleh, Alessandro Moschitti, Preslav Nakov, Llus Mrquez, Shafiq R. Joty |
| 2013 | ACL | A Tale about PRO and Monsters. | Preslav Nakov, Francisco Guzmn, Stephan Vogel |
| 2013 | ICML | A non-IID Framework for Collaborative Filtering with Restricted Boltzmann Machines. | Kostadin Georgiev, Preslav Nakov |
| 2013 | RANLP | Parameter Optimization for Statistical Machine Translation: It Pays to Learn from Hard Examples. | Preslav Nakov, Fahad Al-Obaidli, Francisco Guzmn, Stephan Vogel |
| 2013 | RANLP | Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets. | Jrg Tiedemann, Preslav Nakov |
| 2012 | ACL | Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages. | Preslav Nakov, Jrg Tiedemann |
| 2012 | COLING | Optimizing for Sentence-Level BLEU+1 Yields Short Translations. | Preslav Nakov, Francisco Guzmn, Stephan Vogel |
| 2012 | EACL | Feature-Rich Part-of-speech Tagging for Morphologically Complex Languages: Application to Bulgarian. | Georgi Georgiev, Valentin Zhikov, Kiril Ivanov Simov, Petya Osenova, Preslav Nakov |
| 2012 | EMNLP | Source Language Adaptation for Resource-Poor Machine Translation. | Pidong Wang, Preslav Nakov, Hwee Tou Ng |
| 2011 | ACL | Translating from Morphologically Complex Languages: A Paraphrase-Based Approach. | Preslav Nakov, Hwee Tou Ng |
| 2011 | EMNLP | Large-Scale Noun Compound Interpretation Using Bootstrapping and the Web as a Corpus. | Su Nam Kim, Preslav Nakov |
| 2011 | RANLP | Combining Relational and Attributional Similarity for Semantic Relation Classification. | Preslav Nakov, Zornitsa Kozareva |
| 2010 | EMNLP | A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages. | Minh-Thang Luong, Preslav Nakov, Min-Yen Kan |
| 2009 | EMNLP | Improved Statistical Machine Translation for Resource-Poor Languages Using Related Resource-Rich Languages. | Preslav Nakov, Hwee Tou Ng |
| 2009 | NAACL | SemEval-2010 Task 9: The Interpretation of Noun Compounds Using Paraphrasing Verbs and Prepositions. | Cristina Butnariu, Su Nam Kim, Preslav Nakov, Diarmuid Saghdha, Stan Szpakowicz, Tony Veale |
| 2009 | NAACL | SemEval-2010 Task 8: Multi-Way Classification of Semantic Relations Between Pairs of Nominals. | Iris Hendrickx, Su Nam Kim, Zornitsa Kozareva, Preslav Nakov, Diarmuid Saghdha, Sebastian Pad, Marco Pennacchiotti, Lorenza Romano, Stan Szpakowicz |
| 2009 | RANLP | Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields. | Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov |
| 2009 | RANLP | A Joint Model for Normalizing Gene and Organism Mentions in Text. | Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Deyan Peychev, Vassil Momtchev |
| 2009 | RANLP | Unsupervised Extraction of False Friends from Parallel Bi-Texts Using the Web as a Corpus. | Svetlin Nakov, Preslav Nakov, Elena Paskaleva |
| 2009 | RANLP | Language-Independent Sentiment Analysis Using Subjectivity and Positional Information. | Veselin Raychev, Preslav Nakov |
| 2008 | ACL | Solving Relational Similarity Problems Using the Web as a Corpus. | Preslav Nakov, Marti A. Hearst |
| 2008 | AIMSA | Noun Compound Interpretation Using Paraphrasing Verbs: Feasibility Study. | Preslav Nakov |
| 2008 | ECAI | Improved Statistical Machine Translation Using Monolingual Paraphrases. | Preslav Nakov |
| 2006 | AIMSA | Using Verbs to Characterize Noun-Noun Relations. | Preslav Nakov, Marti A. Hearst |
| 2005 | ACL | Supporting Annotation Layers for Natural Language Processing. | Preslav Nakov, Ariel S. Schwartz, Brian Wolf, Marti A. Hearst |
| 2005 | CoNLL | Search Engine Statistics Beyond the n-Gram: Application to Noun Compound Bracketing. | Preslav Nakov, Marti A. Hearst |
| 2005 | NAACL | Using the Web as an Implicit Training Set: Application to Structural Ambiguity Resolution. | Preslav Nakov, Marti A. Hearst |
| 2003 | NAACL | Category-based Pseudowords. | Preslav Nakov, Marti A. Hearst |
| 2003 | RANLP | Guessing morphological classes of unknown German nouns. | Preslav Nakov, Yury Bonev, Galia Angelova, Evelyn Gius, Walther von Hahn |
| 2003 | RANLP | Towards deeper understanding of the latent semantic analysis performance. | Preslav Nakov, Elena Valchanova, Galia Angelova |
| 2002 | ECAI | Adaptivity in Web-Based CALL. | Galia Angelova, Svetla Boytcheva, Ognian Kalaydjiev, Stefan Trausan-Matu, Preslav Nakov, Albena Strupchanska |
| 2002 | ECAI | MorphoClass - Recognition and Morphological Classification of Unknown Words for German. | Preslav Nakov |
| 2000 | AIMSA | Web Personalization Using Extended Boolean Operations with Latent Semantic Indexing. | Preslav Nakov |