Yulia Tsvetkov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
122
Venues
16
Active years
2010–2026
Best venue rank
A*
Where they publish
Papers
122 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | When One LLM Drools, Multi-LLM Collaboration Rules. | Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Shannon Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, Yulia Tsvetkov |
| 2026 | ACL | Data Swarms: Optimizable Generation of Synthetic Evaluation Data. | Shangbin Feng, Yike Wang, Weijia Shi, Yulia Tsvetkov |
| 2026 | ACL | Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems. | Ziyuan Yang, Wenxuan Ding, Shangbin Feng, Yulia Tsvetkov |
| 2026 | ACL | Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment. | Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xinyun Liu, Yulia Tsvetkov |
| 2026 | IUI | Interactive Reasoning: Visualizing and Controlling Chain-of-Thought Reasoning in Large Language Models. | Rock Yuren Pang, K. J. Kevin Feng, Shangbin Feng, Chu Li, Weijia Shi, Yulia Tsvetkov, Jeffrey Heer, Katharina Reinecke |
| 2025 | ACL | CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-Teaming. | Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, Chan Young Park, Shuyue Stella Li, Sahithya Ravi, Mehar Bhatia, Maria Antoniak, Yulia Tsvetkov, Vered Shwartz, Yejin Choi |
| 2025 | ACL | Biased LLMs can Influence Political Decision-Making. | Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson, Yejin Choi, Daniel W. Fisher, Jennifer Pan, Yulia Tsvetkov, Katharina Reinecke |
| 2025 | ACL | Guardrails and Security for LLMs: Safe, Secure and Controllable Steering of LLM Applications. | Traian Rebedea, Leon Derczynski, Shaona Ghosh, Makesh Narsimhan Sreedhar, Faeze Brahman, Liwei Jiang, Bo Li, Yulia Tsvetkov, Christopher Parisien, Yejin Choi |
| 2025 | ICLR | Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning. | Melanie Sclar, Jane Dwivedi-Yu, Maryam Fazel-Zarandi, Yulia Tsvetkov, Yonatan Bisk, Yejin Choi, Asli Celikyilmaz |
| 2025 | ICLR | Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only. | Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov |
| 2025 | ICML | Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. | Shangbin Feng, Zifeng Wang, Yike Wang, Sayna Ebrahimi, Hamid Palangi, Lesly Miculicich, Achin Kulshrestha, Nathalie Rauschmayr, Yejin Choi, Yulia Tsvetkov, Chen-Yu Lee, Tomas Pfister |
| 2025 | ICML | Position: Political Neutrality in AI Is Impossible - But Here Is How to Approximate It. | Jillian Fisher, Ruth Elisabeth Appel, Chan Young Park, Yujin Potter, Liwei Jiang, Taylor Sorensen, Shangbin Feng, Yulia Tsvetkov, Margaret E. Roberts, Jennifer Pan, Dawn Song, Yejin Choi |
| 2025 | NAACL | FACTS&EVIDENCE: An Interactive Tool for Transparent Fine-Grained Factual Verification of Machine-Generated Text. | Varich Boonsanong, Vidhisha Balachandran, Xiaochuang Han, Shangbin Feng, Lucy Lu Wang, Yulia Tsvetkov |
| 2025 | NAACL | ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs. | Aly M. Kassem, Omar Mahmoud, Niloofar Mireshghallah, Hyunwoo Kim, Yulia Tsvetkov, Yejin Choi, Sherif Saad, Santu Rana |
| 2025 | NAACL | ComPO: Community Preferences for Language Model Personalization. | Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, Hannaneh Hajishirzi |
| 2024 | AAAI | Mental Health Stigma across Diverse Genders in Generative Large Language Models - Abstract (abstract). | Lucille Njoo, Lee Janzen-Morel, Inna Wanyin Lin, Yulia Tsvetkov |
| 2024 | ACL | Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. | Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov |
| 2024 | ACL | DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. | Fahim Faisal, Orevaoghene Ahia, Aarohi Srivastava, Kabir Ahuja, David Chiang, Yulia Tsvetkov, Antonios Anastasopoulos |
| 2024 | ACL | Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. | Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, Yulia Tsvetkov |
| 2024 | ACL | What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection. | Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan, Minnan Luo, Yulia Tsvetkov |
| 2024 | ACL | DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. | Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, Minnan Luo |
| 2024 | ACL | Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. | Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, Yulia Tsvetkov, Tianxing He |
| 2024 | EMNLP | Voices Unheard: NLP Resources and Models for Yorb Regional Dialects. | Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, Yulia Tsvetkov |
| 2024 | EMNLP | Teaching LLMs to Abstain across Languages via Multilingual Feedback. | Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Orevaoghene Ahia, Shuyue Stella Li, Vidhisha Balachandran, Sunayana Sitaram, Yulia Tsvetkov |
| 2024 | EMNLP | Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. | Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, Yulia Tsvetkov |
| 2024 | EMNLP | ValueScope: Unveiling Implicit Norms and Values via Return Potential Model of Social Interactions. | Chan Young Park, Shuyue Stella Li, Hayoung Jung, Svitlana Volkova, Tanushree Mitra, David Jurgens, Yulia Tsvetkov |
| 2024 | EMNLP | Locating Information Gaps and Narrative Inconsistencies Across Languages: A Case Study of LGBT People Portrayals on Wikipedia. | Farhan Samir, Chan Young Park, Anjalie Field, Vered Shwartz, Yulia Tsvetkov |
| 2024 | EMNLP | Can LLM Graph Reasoning Generalize beyond Pattern Memorization? | Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, Yulia Tsvetkov |
| 2024 | ICLR | Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions. | Sachin Kumar, Chan Young Park, Yulia Tsvetkov |
| 2024 | ICLR | Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. | Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, Yulia Tsvetkov |
| 2024 | ICLR | Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. | Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi |
| 2024 | ICLR | Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting. | Melanie Sclar, Yejin Choi, Yulia Tsvetkov, Alane Suhr |
| 2024 | NAACL | BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. | Akari Asai, Sneha Kudugunta, Xinyan Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, Hannaneh Hajishirzi |
| 2024 | NAACL | David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs. | Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, Marjan Ghazvininejad |
| 2024 | NAACL | SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. | Abe Bohan Hou, Jingyu Zhang, Tianxing He, Yichen Wang, Yung-Sung Chuang, Hongwei Wang, Lingfeng Shen, Benjamin Van Durme, Daniel Khashabi, Yulia Tsvetkov |
| 2024 | NAACL | P³Sum: Preserving Author's Perspective in News Summarization with Diffusion Language Models. | Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran, Chan Young Park, Sachin Kumar, Yulia Tsvetkov |
| 2024 | NAACL | Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. | Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, Wen-tau Yih |
| 2024 | NAACL | Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers. | Roy Xie, Orevaoghene Ahia, Yulia Tsvetkov, Antonios Anastasopoulos |
| 2024 | NAACL | LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud. | Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Niloofar Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov |
| 2024 | WWW | KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. | Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, Yulia Tsvetkov |
| 2023 | ACL | From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models. | Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov |
| 2023 | ACL | KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. | Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, Yulia Tsvetkov |
| 2023 | ACL | SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. | Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov |
| 2023 | ACL | Understanding In-Context Learning via Supportive Pretraining Data. | Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz, Tianlu Wang |
| 2023 | ACL | On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. | Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James R. Glass, Yulia Tsvetkov |
| 2023 | ACL | Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. | Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, Yulia Tsvetkov |
| 2023 | EACL | Unsupervised Keyphrase Extraction via Interpretable Neural Networks. | Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova, Yulia Tsvetkov |
| 2023 | EACL | Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. | Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov |
| 2023 | EMNLP | On the Zero-Shot Generalization of Machine-Generated Text Detectors. | Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, Tianxing He |
| 2023 | EMNLP | Mitigating Societal Harms in Large Language Models. | Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos, Yulia Tsvetkov |
| 2023 | EMNLP | Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. | Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David R. Mortensen, Noah A. Smith, Yulia Tsvetkov |
| 2023 | EMNLP | FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. | Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, Yulia Tsvetkov |
| 2023 | EMNLP | TalkUp: Paving the Way for Understanding Empowering Language. | Lucille Njoo, Chan Young Park, Octavia Stappart, Marvin Thielk, Yi Chu, Yulia Tsvetkov |
| 2023 | EMNLP | Toward Human Readable Prompt Tuning: Kubrick's The Shining is a good movie, and a good prompt too? | Weijia Shi, Xiaochuang Han, Hila Gonen, Ari Holtzman, Yulia Tsvetkov, Luke Zettlemoyer |
| 2023 | EMNLP | GlobalBench: A Benchmark for Global Progress in Natural Language Processing. | Yueqi Song, Simran Khanuja, Pengfei Liu, Fahim Faisal, Alissa Ostapenko, Genta Indra Winata, Alham Fikri Aji, Samuel Cahyawijaya, Yulia Tsvetkov, Antonios Anastasopoulos, Graham Neubig |
| 2023 | EMNLP | BotPercent: Estimating Bot Populations in Twitter Communities. | Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, Yulia Tsvetkov |
| 2022 | ACL | Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching. | Alissa Ostapenko, Shuly Wintner, Melinda Fricke, Yulia Tsvetkov |
| 2022 | COLING | Threat Scenarios and Best Practices to Detect Neural Fake News. | Artidoro Pagnoni, Martin Graciarena, Yulia Tsvetkov |
| 2022 | EMNLP | Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. | Vidhisha Balachandran, Hannaneh Hajishirzi, William W. Cohen, Yulia Tsvetkov |
| 2022 | EMNLP | Gradient-based Constrained Sampling from Language Models. | Sachin Kumar, Biswajit Paria, Yulia Tsvetkov |
| 2022 | EMNLP | Gendered Mental Health Stigma in Masked Language Models. | Inna W. Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff, Yulia Tsvetkov |
| 2022 | EMNLP | Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media. | Chan Young Park, Julia Mendelsohn, Anjalie Field, Yulia Tsvetkov |
| 2022 | EMNLP | Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. | Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov, Yejin Choi |
| 2022 | ICLR | SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. | Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, Yuan Cao |
| 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 | WWW | Controlled Analyses of Social Biases in Wikipedia Bios. | Anjalie Field, Chan Young Park, Kevin Z. Lin, Yulia Tsvetkov |
| 2021 | ACL | A Survey of Race, Racism, and Anti-Racism in NLP. | Anjalie Field, Su Lin Blodgett, Zeerak Waseem, Yulia Tsvetkov |
| 2021 | ACL | Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation. | Prakhar Gupta, Yulia Tsvetkov, Jeffrey P. Bigham |
| 2021 | ACL | Machine Translation into Low-resource Language Varieties. | Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner, Yulia Tsvetkov |
| 2021 | EACL | StructSum: Summarization via Structured Representations. | Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime G. Carbonell, Yulia Tsvetkov |
| 2021 | EACL | Cross-Cultural Similarity Features for Cross-Lingual Transfer Learning of Pragmatically Motivated Tasks. | Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, David R. Mortensen |
| 2021 | EMNLP | Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. | Xiaochuang Han, Yulia Tsvetkov |
| 2021 | EMNLP | Detecting Community Sensitive Norm Violations in Online Conversations. | Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, Kinjal Jain, Tushar Kanakagiri, David Jurgens, Yulia Tsvetkov |
| 2021 | EMNLP | Evaluating the Morphosyntactic Well-formedness of Generated Texts. | Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, Yulia Tsvetkov |
| 2021 | EMNLP | SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. | Dheeraj Rajagopal, Vidhisha Balachandran, Eduard H. Hovy, Yulia Tsvetkov |
| 2021 | EMNLP | Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. | Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, Graham Neubig |
| 2021 | ICLR | DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. | Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan W. Black, Yulia Tsvetkov |
| 2021 | ICLR | Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. | Zirui Wang, Yulia Tsvetkov, Orhan Firat, Yuan Cao |
| 2021 | ICWSM | Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia. | Chan Young Park, Xinru Yan, Anjalie Field, Yulia Tsvetkov |
| 2021 | NAACL | Controlling Dialogue Generation with Semantic Exemplars. | Prakhar Gupta, Jeffrey P. Bigham, Yulia Tsvetkov, Amy Pavel |
| 2021 | NAACL | Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. | Artidoro Pagnoni, Vidhisha Balachandran, Yulia Tsvetkov |
| 2020 | ACL | Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. | Xiaochuang Han, Byron C. Wallace, Yulia Tsvetkov |
| 2020 | ACL | Balancing Training for Multilingual Neural Machine Translation. | Xinyi Wang, Yulia Tsvetkov, Graham Neubig |
| 2020 | CoNLL | Understanding Linguistic Accommodation in Code-Switched Human-Machine Dialogues. | Tanmay Parekh, Emily P. Ahn, Yulia Tsvetkov, Alan W. Black |
| 2020 | EMNLP | Automatic Extraction of Rules Governing Morphological Agreement. | Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov, Graham Neubig |
| 2020 | EMNLP | Unsupervised Discovery of Implicit Gender Bias. | Anjalie Field, Yulia Tsvetkov |
| 2020 | EMNLP | Fortifying Toxic Speech Detectors Against Veiled Toxicity. | Xiaochuang Han, Yulia Tsvetkov |
| 2020 | EMNLP | On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment. | Zirui Wang, Zachary C. Lipton, Yulia Tsvetkov |
| 2020 | ICLR | Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History. | Yiheng Zhou, Yulia Tsvetkov, Alan W. Black, Zhou Yu |
| 2020 | ICSE | Stress and burnout in open source: toward finding, understanding, and mitigating unhealthy interactions. | Naveen Raman, Minxuan Cao, Yulia Tsvetkov, Christian Kstner, Bogdan Vasilescu |
| 2019 | ACL | Entity-Centric Contextual Affective Analysis. | Anjalie Field, Yulia Tsvetkov |
| 2019 | EMNLP | A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation. | Gayatri Bhat, Sachin Kumar, Yulia Tsvetkov |
| 2019 | EMNLP | Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts. | Luke Breitfeller, Emily P. Ahn, David Jurgens, Yulia Tsvetkov |
| 2019 | EMNLP | Topics to Avoid: Demoting Latent Confounds in Text Classification. | Sachin Kumar, Shuly Wintner, Noah A. Smith, Yulia Tsvetkov |
| 2019 | EMNLP | Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation. | Chan Young Park, Yulia Tsvetkov |
| 2019 | ICLR | Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs. | Sachin Kumar, Yulia Tsvetkov |
| 2019 | ICWSM | Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories. | Anjalie Field, Gayatri Bhat, Yulia Tsvetkov |
| 2019 | NAACL | Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings. | Thomas Manzini, Yao Chong Lim, Alan W. Black, Yulia Tsvetkov |
| 2019 | WWW | Socially Responsible Natural Language Processing. | Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt |
| 2019 | SIGdial | A Dynamic Strategy Coach for Effective Negotiation. | Yiheng Zhou, He He, Alan W. Black, Yulia Tsvetkov |
| 2018 | ACL | Style Transfer Through Back-Translation. | Shrimai Prabhumoye, Yulia Tsvetkov, Ruslan Salakhutdinov, Alan W. Black |
| 2018 | EMNLP | Framing and Agenda-Setting in Russian News: a Computational Analysis of Intricate Political Strategies. | Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, Yulia Tsvetkov |
| 2018 | LREC | RtGender: A Corpus for Studying Differential Responses to Gender. | Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, Yulia Tsvetkov |
| 2018 | NAACL | Socially Responsible NLP. | Yulia Tsvetkov, Vinodkumar Prabhakaran, Rob Voigt |
| 2017 | ACL | Incorporating Dialectal Variability for Socially Equitable Language Identification. | David Jurgens, Yulia Tsvetkov, Dan Jurafsky |
| 2016 | ACL | Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning. | Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Brian MacWhinney, Chris Dyer |
| 2016 | NAACL | Morphological Inflection Generation Using Character Sequence to Sequence Learning. | Manaal Faruqui, Yulia Tsvetkov, Graham Neubig, Chris Dyer |
| 2016 | NAACL | Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning. | Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David R. Mortensen, Alan W. Black, Lori S. Levin, Chris Dyer |
| 2015 | ACL | Sparse Overcomplete Word Vector Representations. | Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer, Noah A. Smith |
| 2015 | ACL | Lexicon Stratification for Translating Out-of-Vocabulary Words. | Yulia Tsvetkov, Chris Dyer |
| 2015 | EMNLP | Not All Contexts Are Created Equal: Better Word Representations with Variable Attention. | Wang Ling, Yulia Tsvetkov, Silvio Amir, Ramon Fermandez, Chris Dyer, Alan W. Black, Isabel Trancoso, Chu-Cheng Lin |
| 2015 | EMNLP | Evaluation of Word Vector Representations by Subspace Alignment. | Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Guillaume Lample, Chris Dyer |
| 2015 | NAACL | Constraint-Based Models of Lexical Borrowing. | Yulia Tsvetkov, Waleed Ammar, Chris Dyer |
| 2014 | ACL | Metaphor Detection with Cross-Lingual Model Transfer. | Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, Eric Nyberg, Chris Dyer |
| 2014 | COLING | Automatic Classification of Communicative Functions of Definiteness. | Archna Bhatia, Chu-Cheng Lin, Nathan Schneider, Yulia Tsvetkov, Fatima Talib Al-Raisi, Laleh Roostapour, Jordan Bender, Abhimanu Kumar, Lori S. Levin, Mandy Simons, Chris Dyer |
| 2014 | EACL | Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation. | Yulia Tsvetkov, Florian Metze, Chris Dyer |
| 2014 | LREC | A Unified Annotation Scheme for the Semantic/Pragmatic Components of Definiteness. | Archna Bhatia, Mandy Simons, Lori S. Levin, Yulia Tsvetkov, Chris Dyer, Jordan Bender |
| 2014 | LREC | Augmenting English Adjective Senses with Supersenses. | Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, Archna Bhatia, Manaal Faruqui, Chris Dyer |
| 2013 | ICASSP | Identification and modeling of word fragments in spontaneous speech. | Yulia Tsvetkov, Zaid Sheikh, Florian Metze |
| 2011 | EMNLP | Identification of Multi-word Expressions by Combining Multiple Linguistic Information Sources. | Yulia Tsvetkov, Shuly Wintner |
| 2010 | COLING | Extraction of Multi-word Expressions from Small Parallel Corpora. | Yulia Tsvetkov, Shuly Wintner |
| 2010 | LREC | Automatic Acquisition of Parallel Corpora from Websites with Dynamic Content. | Yulia Tsvetkov, Shuly Wintner |