| 2026 | ACL | Fundamental Reasoning Paradigms Induce Out-of-Domain Generalization in Language Models. | Mingzi Cao, Xingwei Tan, Mahmud Elahi Akhter, Marco Valentino, Maria Liakata, Xi Wang, Nikolaos Aletras |
| 2026 | ACL | Enhancing Linguistic Competence of Language Models through Pre-training with Language Learning Tasks. | Atsuki Yamaguchi, Maggie Mi, Nikolaos Aletras |
| 2026 | ACL | Mitigating Catastrophic Forgetting in Target Language Adaptation of LLMs via Source-Shielded Updates. | Atsuki Yamaguchi, Terufumi Morishita, Aline Villavicencio, Nikolaos Aletras |
| 2026 | EACL | PATCH: Mitigating PII Leakage in Language Models with Privacy-Aware Targeted Circuit PatcHing. | Anthony Hughes, Vasisht Duddu, N. Asokan, Nikolaos Aletras, Ning Ma |
| 2026 | EACL | Compressing Language Models for Specialized Domains. | Miles Williams, George Chrysostomou, Vitor Jeronymo, Nikolaos Aletras |
| 2025 | EMNLP | GreekBarBench: A Challenging Benchmark for Free-Text Legal Reasoning and Citations. | Odysseas S. Chlapanis, Dimitris Galanis, Nikolaos Aletras, Ion Androutsopoulos |
| 2025 | EMNLP | How Private are Language Models in Abstractive Summarization? | Anthony Hughes, Nikolaos Aletras, Ning Ma |
| 2025 | EMNLP | Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation? | Samuel Lewis-Lim, Xingwei Tan, Zhixue Zhao, Nikolaos Aletras |
| 2025 | EMNLP | Enhancing Logical Reasoning in Language Models via Symbolically-Guided Monte Carlo Process Supervision. | Xingwei Tan, Marco Valentino, Mahmud Elahi Akhter, Maria Liakata, Nikolaos Aletras |
| 2025 | IJCNLP | Fine-Tuning on Noisy Instructions: Effects on Generalization and Performance. | Ahmed Alajrami, Xingwei Tan, Nikolaos Aletras |
| 2025 | IJCNLP | Deconstructing Attention: Investigating Design Principles for Effective Language Modeling. | Huiyin Xue, Nafise Sadat Moosavi, Nikolaos Aletras |
| 2025 | NAACL | Self-calibration for Language Model Quantization and Pruning. | Miles Williams, George Chrysostomou, Nikolaos Aletras |
| 2025 | SIGIR | Bridging the Gap: From Ad-hoc to Proactive Search in Conversations. | Chuan Meng, Francesco Tonolini, Fengran Mo, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai |
| 2024 | ACL | Bayesian Prompt Ensembles: Model Uncertainty Estimation for Black-Box Large Language Models. | Francesco Tonolini, Nikolaos Aletras, Jordan Massiah, Gabriella Kazai |
| 2024 | ACL | On the Impact of Calibration Data in Post-training Quantization and Pruning. | Miles Williams, Nikolaos Aletras |
| 2024 | COLING | Who Is Bragging More Online? A Large Scale Analysis of Bragging in Social Media. | Mali Jin, Daniel Preotiuc-Pietro, A. Seza Dogruz, Nikolaos Aletras |
| 2024 | COLING | Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets. | Yida Mu, Xingyi Song, Kalina Bontcheva, Nikolaos Aletras |
| 2024 | COLING | Navigating Prompt Complexity for Zero-Shot Classification: A Study of Large Language Models in Computational Social Science. | Yida Mu, Ben P. Wu, William Thorne, Ambrose Robinson, Nikolaos Aletras, Carolina Scarton, Kalina Bontcheva, Xingyi Song |
| 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 | Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks. | Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras |
| 2024 | EMNLP | Enhancing Data Quality through Simple De-duplication: Navigating Responsible Computational Social Science Research. | Yida Mu, Mali Jin, Xingyi Song, Nikolaos Aletras |
| 2024 | EMNLP | An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference. | Atsuki Yamaguchi, Aline Villavicencio, Nikolaos Aletras |
| 2024 | NAACL | Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models. | Zhixue Zhao, Nikolaos Aletras |
| 2023 | ACL | Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues. | Yue Feng, Yunlong Jiao, Animesh Prasad, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai |
| 2023 | ACL | On the Limitations of Simulating Active Learning. | Katerina Margatina, Nikolaos Aletras |
| 2023 | ACL | Trading Syntax Trees for Wordpieces: Target-oriented Opinion Words Extraction with Wordpieces and Aspect Enhancement. | Samuel Mensah, Kai Sun, Nikolaos Aletras |
| 2023 | ACL | Rethinking Semi-supervised Learning with Language Models. | Zhengxiang Shi, Francesco Tonolini, Nikolaos Aletras, Emine Yilmaz, Gabriella Kazai, Yunlong Jiao |
| 2023 | ACL | Incorporating Attribution Importance for Improving Faithfulness Metrics. | Zhixue Zhao, Nikolaos Aletras |
| 2023 | EACL | It's about Time: Rethinking Evaluation on Rumor Detection Benchmarks using Chronological Splits. | Yida Mu, Kalina Bontcheva, Nikolaos Aletras |
| 2023 | EMNLP | Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance? | Ahmed Alajrami, Katerina Margatina, Nikolaos Aletras |
| 2023 | EMNLP | Regulation and NLP (RegNLP): Taming Large Language Models. | Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis, Sofia Ranchords, Gerasimos Spanakis |
| 2023 | EMNLP | Active Learning Principles for In-Context Learning with Large Language Models. | Katerina Margatina, Timo Schick, Nikolaos Aletras, Jane Dwivedi-Yu |
| 2023 | EMNLP | Pit One Against Many: Leveraging Attention-head Embeddings for Parameter-efficient Multi-head Attention. | Huiyin Xue, Nikolaos Aletras |
| 2023 | ICML | Robust Weak Supervision with Variational Auto-Encoders. | Francesco Tonolini, Nikolaos Aletras, Yunlong Jiao, Gabriella Kazai |
| 2023 | IJCNLP | We Need to Talk About Classification Evaluation Metrics in NLP. | Peter Vickers, Loc Barrault, Emilio Monti, Nikolaos Aletras |
| 2023 | IJCNLP | A Multimodal Analysis of Influencer Content on Twitter. | Danae Snchez Villegas, Catalina Goanta, Nikolaos Aletras |
| 2023 | WWW | Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction. | Kai Sun, Richong Zhang, Samuel Mensah, Nikolaos Aletras, Yongyi Mao, Xudong Liu |
| 2022 | AAAI | Flexible Instance-Specific Rationalization of NLP Models. | George Chrysostomou, Nikolaos Aletras |
| 2022 | ACL | How does the pre-training objective affect what large language models learn about linguistic properties? | Ahmed Alajrami, Nikolaos Aletras |
| 2022 | ACL | Dynamically Refined Regularization for Improving Cross-corpora Hate Speech Detection. | Tulika Bose, Nikolaos Aletras, Irina Illina, Dominique Fohr |
| 2022 | ACL | LexGLUE: A Benchmark Dataset for Legal Language Understanding in English. | Ilias Chalkidis, Abhik Jana, Dirk Hartung, Michael J. Bommarito II, Ion Androutsopoulos, Daniel Martin Katz, Nikolaos Aletras |
| 2022 | ACL | An Empirical Study on Explanations in Out-of-Domain Settings. | George Chrysostomou, Nikolaos Aletras |
| 2022 | ACL | Translation Error Detection as Rationale Extraction. | Marina Fomicheva, Lucia Specia, Nikolaos Aletras |
| 2022 | ACL | Automatic Identification and Classification of Bragging in Social Media. | Mali Jin, Daniel Preotiuc-Pietro, A. Seza Dogruz, Nikolaos Aletras |
| 2022 | ACL | On the Importance of Effectively Adapting Pretrained Language Models for Active Learning. | Katerina Margatina, Loc Barrault, Nikolaos Aletras |
| 2022 | COLING | Domain Classification-based Source-specific Term Penalization for Domain Adaptation in Hate-speech Detection. | Tulika Bose, Nikolaos Aletras, Irina Illina, Dominique Fohr |
| 2022 | EMNLP | A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. | Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye |
| 2022 | EMNLP | HashFormers: Towards Vocabulary-independent Pre-trained Transformers. | Huiyin Xue, Nikolaos Aletras |
| 2022 | EMNLP | On the Impact of Temporal Concept Drift on Model Explanations. | Zhixue Zhao, George Chrysostomou, Kalina Bontcheva, Nikolaos Aletras |
| 2022 | IJCNLP | Improving Graph-Based Text Representations with Character and Word Level N-grams. | Wenzhe Li, Nikolaos Aletras |
| 2022 | NAACL | Combining Humor and Sarcasm for Improving Political Parody Detection. | Xiao Ao, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras |
| 2022 | SIGIR | Towards Suicide Ideation Detection Through Online Conversational Context. | Ramit Sawhney, Shivam Agarwal, Atula Tejaswi Neerkaje, Nikolaos Aletras, Preslav Nakov, Lucie Flek |
| 2021 | ACL | Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification. | George Chrysostomou, Nikolaos Aletras |
| 2021 | ACL | Knowledge Distillation for Quality Estimation. | Amit Gajbhiye, Marina Fomicheva, Fernando Alva-Manchego, Frdric Blain, Abiola Obamuyide, Nikolaos Aletras, Lucia Specia |
| 2021 | ACL | On the Ethical Limits of Natural Language Processing on Legal Text. | Dimitrios Tsarapatsanis, Nikolaos Aletras |
| 2021 | ACL | In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering. | Peter Vickers, Nikolaos Aletras, Emilio Monti, Loc Barrault |
| 2021 | ACL | Analyzing Online Political Advertisements. | Danae Sanchez Villegas, Saeid Mokaram, Nikolaos Aletras |
| 2021 | EMNLP | Enjoy the Salience: Towards Better Transformer-based Faithful Explanations with Word Salience. | George Chrysostomou, Nikolaos Aletras |
| 2021 | EMNLP | Active Learning by Acquiring Contrastive Examples. | Katerina Margatina, Giorgos Vernikos, Loc Barrault, Nikolaos Aletras |
| 2021 | EMNLP | An Empirical Study on Leveraging Position Embeddings for Target-oriented Opinion Words Extraction. | Samuel Mensah, Kai Sun, Nikolaos Aletras |
| 2021 | EMNLP | Point-of-Interest Type Prediction using Text and Images. | Danae Snchez Villegas, Nikolaos Aletras |
| 2021 | EMNLP | Frustratingly Simple Pretraining Alternatives to Masked Language Modeling. | Atsuki Yamaguchi, George Chrysostomou, Katerina Margatina, Nikolaos Aletras |
| 2021 | NAACL | Paragraph-level Rationale Extraction through Regularization: A case study on European Court of Human Rights Cases. | Ilias Chalkidis, Manos Fergadiotis, Dimitrios Tsarapatsanis, Nikolaos Aletras, Ion Androutsopoulos, Prodromos Malakasiotis |
| 2021 | NAACL | Modeling the Severity of Complaints in Social Media. | Mali Jin, Nikolaos Aletras |
| 2020 | ACL | Analyzing Political Parody in Social Media. | Antonis Maronikolakis, Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras |
| 2020 | COLING | Complaint Identification in Social Media with Transformer Networks. | Mali Jin, Nikolaos Aletras |
| 2020 | EAMT | Quality In, Quality Out: Learning from Actual Mistakes. | Frdric Blain, Nikolaos Aletras, Lucia Specia |
| 2020 | EMNLP | An Empirical Study on Large-Scale Multi-Label Text Classification Including Few and Zero-Shot Labels. | Ilias Chalkidis, Manos Fergadiotis, Sotiris Kotitsas, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos |
| 2020 | EMNLP | LEGAL-BERT: "Preparing the Muppets for Court'". | Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, Nikolaos Aletras, Ion Androutsopoulos |
| 2020 | IJCNLP | Point-of-Interest Type Inference from Social Media Text. | Danae Sanchez Villegas, Daniel Preotiuc-Pietro, Nikolaos Aletras |
| 2020 | SIGIR | Automatic Generation of Topic Labels. | Areej Alokaili, Nikolaos Aletras, Mark Stevenson |
| 2019 | ACL | Neural Legal Judgment Prediction in English. | Ilias Chalkidis, Ion Androutsopoulos, Nikolaos Aletras |
| 2019 | ACL | Automatically Identifying Complaints in Social Media. | Daniel Preotiuc-Pietro, Mihaela Gaman, Nikolaos Aletras |
| 2019 | EMNLP | Journalist-in-the-Loop: Continuous Learning as a Service for Rumour Analysis. | Twin Karmakharm, Nikolaos Aletras, Kalina Bontcheva |
| 2018 | CIKM | Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. | Adam Tsakalidis, Nikolaos Aletras, Alexandra I. Cristea, Maria Liakata |
| 2017 | EACL | Multimodal Topic Labelling. | Ionut Sorodoc, Jey Han Lau, Nikolaos Aletras, Timothy Baldwin |
| 2017 | ECIR | Labeling Topics with Images Using a Neural Network. | Nikolaos Aletras, Arpit Mittal |
| 2016 | ECIR | Inferring the Socioeconomic Status of Social Media Users Based on Behaviour and Language. | Vasileios Lampos, Nikolaos Aletras, Jens K. Geyti, Bin Zou, Ingemar J. Cox |
| 2015 | ACL | An analysis of the user occupational class through Twitter content. | Daniel Preotiuc-Pietro, Vasileios Lampos, Nikolaos Aletras |
| 2015 | CIKM | TM 2015 - Topic Models: Post-Processing and Applications Workshop. | Nikolaos Aletras, Jey Han Lau, Timothy Baldwin, Mark Stevenson |
| 2014 | ACL | Labelling Topics using Unsupervised Graph-based Methods. | Nikolaos Aletras, Mark Stevenson |
| 2014 | EACL | Measuring the Similarity between Automatically Generated Topics. | Nikolaos Aletras, Mark Stevenson |
| 2014 | EACL | Predicting and Characterising User Impact on Twitter. | Vasileios Lampos, Nikolaos Aletras, Daniel Preotiuc-Pietro, Trevor Cohn |
| 2013 | ACL | PATHS: A System for Accessing Cultural Heritage Collections. | Eneko Agirre, Nikolaos Aletras, Paul D. Clough, Samuel Fernando, Paula Goodale, Mark M. Hall, Aitor Soroa, Mark Stevenson |
| 2013 | NAACL | Representing Topics Using Images. | Nikolaos Aletras, Mark Stevenson |