I am an associate professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. My research is in natural language processing (NLP) and AI, developing language technologies that are reliable, socially aware, and linguistically inclusive. I am particularly interested in models that can reason and adapt to people, languages, cultures, and real-world contexts. Methodologically, this research combines machine learning with insights from sociolinguistics and cognitive science to model how people use and interpret language in context.
Much of my research group's work focuses on the capabilities and limitations of large language models, including reasoning and personalization, AI ethics and safety, multilingual and culturally inclusive modeling, and high-stakes applications such as AI for health and AI for science. This research is motivated by a unified goal of "NLP for All": to extend language technology beyond narrow populations and across linguistic and cultural boundaries, thereby enabling reliable and equitable AI for a broader range of users and contexts.
Here are my CV and Google Scholar page.
I am also a Technical Venture Partner at AI House and a member of the Advisory Board of Schmidt Sciences' Humanities and AI Virtual Institute (HAVI).
Previously, I was an assistant professor in the Language Technologies Institute, School of Computer Science at Carnegie Mellon University, where I am currently an adjunct professor. Before that, I was a postdoctoral researcher in the Stanford NLP Group. I received my PhD from CMU.
Publications
( this list is more likely to be updated)
2026
The Cost of Sounding Different: Accent Bias in Audio Language Models.
Aruna Srivastava, Orevaoghene Ahia, Li Lucy, Ashley Christendat, Sameep Chattopadhyay, Farhan Samir, Tejumade Afonja, Valentin Hofmann, Sachin Kumar, Noah A. Smith, and Yulia Tsvetkov. Proc. EMNLP 2026. PDF
Small Reward Models via Backward Inference.
Yike Wang, Faeze Brahman, Shangbin Feng, Teng Xiao, Hannaneh Hajishirzi, and Yulia Tsvetkov. Proc. EMNLP 2026. PDF
One Form to Transfer Them All: Pretraining Multilingual Language Models Beyond Native Orthography.
Muge Zhang, Aaron Jencks, Krishna Badikela, Yulia Tsvetkov, and Sachin Kumar. Proc. EMNLP 2026. PDF
Moral Safety in LLMs: Exposing Performative Compliance with Puzzled Cues.
Mohammadamin Shafiei, Shuyue Stella Li, and Yulia Tsvetkov. Findings of EMNLP 2026. PDF
ScienceMeter: Tracking Scientific Knowledge Updates in Language Models.
Yike Wang, Shangbin Feng, Yulia Tsvetkov, and Hannaneh Hajishirzi. Proc. COLM 2026. PDF
MMMG: A Comprehensive and Reliable Benchmark for Multitask Multimodal Generation.
Jihan Yao, Yushi Hu, Wenyuan Wang, Bin Han, Guang Yang, Yujie Yi, Shangbin Feng, Bingbing Wen, Ranjay Krishna, Lucy Lu Wang, Yulia Tsvetkov, Noah A. Smith, and Banghua Zhu. Proc. COLM 2026. PDF
Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest.
Addison J. Wu, Ryan Liu, Shuyue Stella Li, Yulia Tsvetkov, and Thomas L. Griffiths. Proc. COLM 2026. PDF
Evaluating Large Language Models for Antisemitic Incident Classification.
Karina Halevy, Julia Mendelsohn, Chan Young Park, Yulia Tsvetkov, and Maarten Sap. Digital Hate Review, 1(1), 2026. ARTICLE
Cold-Start Personalization via Training-Free Priors from Structured World Models.
Avinandan Bose, Shuyue Stella Li, Faeze Brahman, Pang Wei Koh, Simon Shaolei Du, Yulia Tsvetkov, Maryam Fazel, Lin Xiao, and Asli Celikyilmaz. Proc. ICML 2026. PDF
Privasis: Synthesizing the Largest "Public" Private Dataset from Scratch.
Hyunwoo Kim, Niloofar Mireshghallah, Michael Duan, Rui Xin, Shuyue Stella Li, Jaehun Jung, David Acuna, Qi Pang, Hanshen Xiao, G. Edward Suh, Sewoong Oh, Yulia Tsvetkov, Pang Wei Koh, and Yejin Choi. Proc. ICML 2026. PDF
Spurious Rewards: Rethinking Training Signals in RLVR.
Rulin Shao, Shuyue Stella Li, Rui Xin, Scott Geng, Yiping Wang, Sewoong Oh, Simon Shaolei Du, Nathan Lambert, Sewon Min, Ranjay Krishna, Yulia Tsvetkov, Hannaneh Hajishirzi, Pang Wei Koh, and Luke Zettlemoyer. Proc. ICML 2026. PDF
RLVE: Scaling Up Reinforcement Learning for Language Models with Adaptive Verifiable Environments.
Zhiyuan Zeng, Hamish Ivison, Yiping Wang, Lifan Yuan, Shuyue Stella Li, Zhuorui Ye, Siting Li, Jacqueline He, Runlong Zhou, Tong Chen, Chenyang Zhao, Yulia Tsvetkov, Simon Shaolei Du, Natasha Jaques, Hao Peng, Pang Wei Koh, and Hannaneh Hajishirzi. Proc. ICML 2026. PDF
When One LLM Drools, Multi-LLM Collaboration Rules.
Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang, Weijia Shi, Yike Wang, Zejiang Shen, Xiaochuang Han, Hunter Lang, Chen-Yu Lee, Tomas Pfister, Yejin Choi, and Yulia Tsvetkov. Proc. ACL 2026. PDF
Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems. (SAC Highlight Award)
Ziyuan Yang, Wenxuan Ding, Shangbin Feng, and Yulia Tsvetkov. Proc. ACL 2026. PDF
Data Swarms: Optimizable Generation of Synthetic Evaluation Data.
Shangbin Feng, Yike Wang, Weijia Shi, and Yulia Tsvetkov. Proc. ACL 2026, findings. PDF
Generalizable LLM Learning of Graph Synthetic Data with Post-training Alignment.
Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xinyun Liu, and Yulia Tsvetkov. Proc. ACL 2026, findings. PDF
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage.
Rui Xin, Niloofar Mireshghallah, Shuyue Stella Li, Michael Duan, Hyunwoo Kim, Yejin Choi, Yulia Tsvetkov, Sewoong Oh, and Pang Wei Koh. Proc. SatML 2026. PDF
PrefDisco: Benchmarking Proactive Personalized Reasoning.
Shuyue Stella Li, Avinandan Bose, Faeze Brahman, Simon Shaolei Du, Pang Wei Koh, Maryam Fazel, and Yulia Tsvetkov. Proc. ICLR 2026. PDF
Don't Throw Away Your Pretrained Model.
Shangbin Feng, Wenhao Yu, Yike Wang, Hongming Zhang, Yulia Tsvetkov, and Dong Yu. Proc. ICLR 2026. PDF
MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation.
Junhao Chen, Yulia Tsvetkov, and Xiaochuang Han. Proc. ICLR 2026. PDF
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, and Katharina Reinecke. Proc. IUI 2026. PDF
2025
Reliable and Responsible Foundation Models.
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, Rene Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, and Huaxiu Yao. Transactions on Machine Learning Research, 2025. PDF
Sparta Alignment: Collectively Aligning Multiple Language Models through Combat.
Yuru Jiang, Wenxuan Ding, Shangbin Feng, Greg Durrett, and Yulia Tsvetkov. Proc. NeurIPS 2025. PDF
Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond). (Best Paper Award)
Liwei Jiang, Yuanjun Chai, Margaret Li, Mickel Liu, Raymond Fok, Nouha Dziri, Yulia Tsvetkov, Maarten Sap, Alon Albalak, and Yejin Choi. Proc. NeurIPS 2025. PDF
Investigating Machine Moral Judgement through the Delphi Experiment.
Liwei Jiang, Jena D. Hwang, Chandra Bhagavatula, Ronan Le Bras, Jenny T. Liang, Sydney Levine, Jesse Dodge, Keisuke Sakaguchi, Maxwell Forbes, Jack Hessel, Jonathan Borchardt, Taylor Sorensen, Saadia Gabriel, Yulia Tsvetkov, Oren Etzioni, Maarten Sap, Regina Rini, and Yejin Choi. Nature Machine Intelligence, 7(1):145-160, 2025. PDF
Political Neutrality in AI Is Impossible — But Here Is How to Approximate It. (Oral)
Jillian Fisher, Ruth E. Appel, Chan Young Park, Yujin Potter, Liwei Jiang, Taylor Sorensen, Shangbin Feng, Yulia Tsvetkov, Margaret E. Roberts, Jennifer Pan, Dawn Song, and Yejin Choi. Proc. ICML 2025, Position Track. PDF
Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems.
Shangbin Feng, Zifeng Wang, Palash Goyal, Yike Wang, Weijia Shi, Huang Xia, Hamid Palangi, Luke Zettlemoyer, Yulia Tsvetkov, Chen-Yu Lee, and Tomas Pfister. Proc. NeurIPS 2025. PDF
Precise Information Control in Long-Form Text Generation.
Jacqueline He, Howard Yen, Margaret Li, Shuyue Stella Li, Zhiyuan Zeng, Weijia Shi, Yulia Tsvetkov, Danqi Chen, Pang Wei Koh, and Luke Zettlemoyer. Proc. NeurIPS 2025. PDF
Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?
Yiwei Yang, Chung Peng Lee, Shangbin Feng, Dora Zhao, Bingbing Wen, Anthony Z. Liu, Yulia Tsvetkov, and Bill Howe. Proc. NeurIPS 2025, Datasets and Benchmarks Track. PDF
ALFA: Aligning LLMs to Ask Good Questions - A Case Study in Clinical Reasoning.
Shuyue Stella Li, Jimin Mun, Faeze Brahman, Pedram Hosseini, Bryceton G. Thomas, Jessica M. Sin, Bing Ren, Jonathan S. Ilgen, Yulia Tsvetkov, and Maarten Sap. Proc. COLM 2025. PDF
Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection.
Kabir Ahuja, Melanie Sclar, and Yulia Tsvetkov. Proc. COLM 2025. PDF
PrefPalette: Personalized Preference Modeling with Latent Attributes. (Spotlight)
Shuyue Stella Li, Melanie Sclar, Hunter Lang, Ansong Ni, Jacqueline He, Puxin Xu, Andrew Cohen, Chan Young Park, Yulia Tsvetkov, and Asli Celikyilmaz. Proc. COLM 2025. PDF
Biased AI can Influence Political Decision-Making.
Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson, Yejin Choi, Daniel W. Fisher, Jennifer Pan, Yulia Tsvetkov, and Katharina Reinecke. Proc. ACL 2025. PDF
CulturalBench: A Robust, Diverse, and Challenging Cultural Benchmark by Human-AI CulturalTeaming.
Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, Chan Young Park, Shuyue Stella Li, Sahithya Ravi, Mehar Bhatia, Maria Antoniak, Yulia Tsvetkov, Vered Shwartz, and Yejin Choi. Proc. ACL 2025. PDF
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, and Tomas Pfister. Proc. ICML 2025. PDF
Explore Theory of Mind: Program-guided adversarial data generation for theory of mind reasoning.
Melanie Sclar, Jane Yu, Maryam Fazel-Zarandi, Yulia Tsvetkov, Yonatan Bisk, Yejin Choi, and Asli Celikyilmaz. Proc. ICLR 2025. PDF
Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only.
Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang, and Yulia Tsvetkov. Proc. ICLR 2025. PDF
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, and Yulia Tsvetkov. Proc. NAACL 2025, Demo Track. PDF
ComPO: Community Preferences for Language Model Personalization.
Sachin Kumar, Chan Young Park, Yulia Tsvetkov, Noah A. Smith, and Hannaneh Hajishirzi. Proc. NAACL 2025. PDF
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, and Santu Rana. Proc. NAACL 2025. PDF
Know Your Limits: A Survey of Abstention in Large Language Models.
Bingbing Wen, Jihan Yao, Shangbin Feng, Chenjun Xu, Yulia Tsvetkov, Bill Howe, and Lucy Lu Wang. Transactions of the Association for Computational Linguistics, 2025. PDF
Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers.
Kabir Ahuja, Vidhisha Balachandran, Madhur Panwar, Tianxing He, Noah A. Smith, Navin Goyal, and Yulia Tsvetkov. Transactions of the Association for Computational Linguistics, 13:121-141, 2025. PDF
2024
MEDIQ: Question-Asking LLMs for Adaptive and Reliable Clinical Reasoning.
Shuyue Stella Li, Vidhisha Balachandran, Shangbin Feng, Jonathan Ilgen, Emma Pierson, Pang Wei Koh, and Yulia Tsvetkov. Proc. NeurIPS 2024. PDF
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization.
Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Valentin Hoffman, Tomasz Limisiewicz, Yulia Tsvetkov, and Noah A. Smith. Proc. NeurIPS 2024. PDF
MatFormer: Nested Transformer for Elastic Inference.
Fnu Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, and Prateek Jain. Proc. NeurIPS 2024. PDF
The Art of Saying No: Contextual Noncompliance in Language Models.
Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Chandu, Jack Hessel, Yulia Tsvetkov, Noah A. Smith, Yejin Choi, and Hannaneh Hajishirzi. Proc. NeurIPS 2024, Datasets and Benchmarks Track. PDF
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, and Yulia Tsvetkov. Proc. EMNLP 2024. PDF
Voices Unheard: NLP Resources and Models for Yorùbá Regional Dialects.
Orevaoghene Ahia, Anuoluwapo Aremu, Diana Abagyan, Hila Gonen, David Ifeoluwa Adelani, Daud Abolade, Noah A. Smith, and Yulia Tsvetkov. Proc. EMNLP 2024. PDF
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration.
Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher, Chan Young Park, Yejin Choi, and Yulia Tsvetkov. Proc. EMNLP 2024. PDF
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, and Yulia Tsvetkov. Proc. EMNLP 2024. PDF
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, and Yulia Tsvetkov. Findings of EMNLP 2024. PDF
Can LLM Graph Reasoning Generalize beyond Pattern Memorization?
Yizhuo Zhang, Heng Wang, Shangbin Feng, Zhaoxuan Tan, Xiaochuang Han, Tianxing He, and Yulia Tsvetkov. Proc. EMNLP 2024, findings. PDF
Resolving Knowledge Conflicts in Large Language Models.
Yike Wang, Shangbin Feng, Heng Wang, Weijia Shi, Vidhisha Balachandran, Tianxing He, and Yulia Tsvetkov. Proc. COLM 2024. PDF
Tuning Language Models by Proxy. (Spotlight Paper)
Alisa Liu, Xiaochuang Han, Yizhong Wang, Yulia Tsvetkov, Yejin Choi, and Noah A. Smith. Proc. COLM 2024. PDF
Fine-grained Hallucination Detection and Editing for Language Models.
Abhika Mishra, Akari Asai, Vidhisha Balachandran, Yizhong Wang, Graham Neubig, Yulia Tsvetkov, and Hannaneh Hajishirzi. Proc. COLM 2024. PDF
Do Membership Inference Attacks Work on Large Language Models?.
Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, and Hannaneh Hajishirzi. Proc. COLM 2024. PDF
DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. (Best Social Impact Paper Award)
Fahim Faisal, Orevaoghene Ahia, Aarohi Srivastava, Kabir Ahuja, David Chiang, Yulia Tsvetkov, and Antonios Anastasopoulos. Proc. ACL 2024. PDF
Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. (Outstanding Paper Award & Area Chair Award, QA track)
Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding, Vidhisha Balachandran, and Yulia Tsvetkov. Proc. ACL 2024. PDF
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, and Yulia Tsvetkov. Proc. ACL 2024. PDF
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, and Tianxing He. Proc. ACL 2024. PDF
Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models.
Wenxuan Ding, Shangbin Feng, Yuhan Liu, Zhaoxuan Tan, Vidhisha Balachandran, Tianxing He, and Yulia Tsvetkov. Proc. ACL 2024, findings. PDF
DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection.
Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, and Minnan Luo. Proc. ACL 2024, findings. PDF
David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs.
Xiaochuang Han, Sachin Kumar, Yulia Tsvetkov, and Marjan Ghazvininejad. Proc. NAACL. PDF
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, and Yulia Tsvetkov. Proc. NAACL. PDF
Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers.
Roy Xie, Orevaoghene Ahia, Yulia Tsvetkov, and Antonios Anastasopoulos. Proc. NAACL. PDF
BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer.
Akari Asai, Sneha Kudugunta, Xinyan Velocity Yu, Terra Blevins, Hila Gonen, Machel Reid, Yulia Tsvetkov, Sebastian Ruder, and Hannaneh Hajishirzi. Proc. NAACL. PDF
Trusting Your Evidence: Hallucinate Less with Context-aware Decoding.
Weijia Shi, Xiaochuang Han, Mike Lewis, Yulia Tsvetkov, Luke Zettlemoyer, and Scott Wen-tau Yih. Proc. NAACL. PDF
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, and Yulia Tsvetkov. Proc. NAACL. PDF
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, and Yulia Tsvetkov. Proc. NAACL Findings. PDF
KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models. (Oral)
Yuyang Bai, Shangbin Feng, Vidhisha Balachandran, Zhaoxuan Tan, Shiqi Lou, Tianxing He, and Yulia Tsvetkov. Proc. WebConf. PDF
Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions.
Sachin Kumar, Chan Young Park, and Yulia Tsvetkov. Proc. ICLR. PDF
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. (Oral)
Shangbin Feng, Weijia Shi, Yuyang Bai, Vidhisha Balachandran, Tianxing He, and Yulia Tsvetkov. Proc. ICLR. PDF
Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. (Spotlight paper)
Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, and Yejin Choi. Proc. ICLR. PDF
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, and Alane Suhr. Proc. ICLR. PDF
2023
Can Language Models Solve Graph Problems in Natural Language? (Spotlight paper)
Heng Wang, Shangbin Feng, Tianxing He, Zhaoxuan Tan, Xiaochuang Han and Yulia Tsvetkov. Proc. NeurIPS. PDF
MatFormer: Nested Transformer for Elastic Inference. (Best paper award)
Fnu Devvrit, Sneha Kudugunta, Aditya Kusupati, Tim Dettmers, Kaifeng Chen, Inderjit S Dhillon, Yulia Tsvetkov, Hannaneh Hajishirzi, Sham M. Kakade, Ali Farhadi, and Prateek Jain. Proc. ENLSP @ NeurIPS 2023. PDF
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, and Yulia Tsvetkov. Proc. EMNLP. PDF
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge.
Shangbin Feng, Vidhisha Balachandran, Yuyang Bai, and Yulia Tsvetkov. Proc. EMNLP. PDF
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, and Graham Neubig. Proc. EMNLP. PDF
BotPercent: Estimating Twitter Bot Populations from Groups to Crowds.
Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan, Minnan Luo, Yejin Choi, and Yulia Tsvetkov. Proc. EMNLP Findings. PDF
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, and Luke Zettlemoyer. Proc. EMNLP Findings. PDF
On the Zero-Shot Generalization of Machine-Generated Text Detectors.
Xiao Pu, Jingyu Zhang, Xiaochuang Han, Yulia Tsvetkov, and Tianxing He. Proc. EMNLP Findings. PDF
TalkUp: A Novel Dataset Paving the Way for Understanding Empowering Language.
Lucille Njoo, Chan Young Park, Octavia Stappart, Marvin Thielk, Yi Chu, and Yulia Tsvetkov. Proc. EMNLP Findings. PDF
LEXPLAIN: Improving Model Explanations via Lexicon Supervision.
Orevaoghene Ahia, Hila Gonen, Vidhisha Balachandran, Yulia Tsvetkov and Noah A. Smith. Proc. StarSEM. PDF
Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. (Outstanding paper award)
Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi and Yulia Tsvetkov. Proc. ACL. PDF
From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models. (Best paper award)
Shangbin Feng, Chan Young Park, Yuhan Liu and Yulia Tsvetkov. Proc. ACL. PDF
SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control.
Xiaochuang Han, Sachin Kumar and Yulia Tsvetkov. Proc. ACL. PDF
KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding.
Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei and Yulia Tsvetkov. Proc. ACL. PDF
Understanding In-Context Learning via Supportive Pretraining Data.
Xiaochuang Han, Daniel Simig, Todor Mihaylov, Yulia Tsvetkov, Asli Celikyilmaz and Tianlu Wang. Proc. ACL. PDF
On the Blind Spots of Model-Based Evaluation Metrics for Text Generation.
Tianxing He, Jingyu Zhang, Tianle Wang, Sachin Kumar, Kyunghyun Cho, James Glass and Yulia Tsvetkov. Proc. ACL PDF
Examining Risks of Racial Biases in NLP Tools for Child Protective Services.
Anjalie Field, Amanda Coston, Nupoor Gandhi, Alexandra Chouldechova, Emily Putnam-Hornstein, David Steier and Yulia Tsvetkov. Proc. FAccT. PDF
Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey.
Sachin Kumar, Vidhisha Balachandran, Lucille Njoo, Antonios Anastasopoulos and Yulia Tsvetkov. Proc. EACL. PDF
Unsupervised Keyphrase Extraction via Interpretable Neural Networks.
Rishabh Joshi, Vidhisha Balachandran, Emily Saldanha, Maria Glenski, Svitlana Volkova and Yulia Tsvetkov. Proc. EACL. PDF
2022
An Analysis of Emotions and the Prominence of Positivity in #BlackLivesMatter Tweets.
Anjalie Field, Chan Young Park, Antonio Theophilo, Jamelle Watson-Daniels, and Yulia Tsvetkov. Proc. PNAS. PDF
Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling.
Vidhisha Balachandran, Hannaneh Hajishirzi, William Cohen and Yulia Tsvetkov. Proc. EMNLP. PDF
Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation.
Melanie Sclar, Peter West, Sachin Kumar, Yulia Tsvetkov and Yejin Choi. Proc. EMNLP. PDF
Gradient-based Constrained Sampling from Language Models.
Sachin Kumar, Biswajit Paria and Yulia Tsvetkov. Proc. EMNLP. PDF
Gendered Mental Health Stigma in Masked Language Models.
Wanyin Lin, Lucille Njoo, Anjalie Field, Ashish Sharma, Katharina Reinecke, Tim Althoff and Yulia Tsvetkov. Proc. EMNLP. PDF
Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media.
Chan Young Park, Julia Mendelsohn, Anjalie Field and Yulia Tsvetkov. Proc. Findings of EMNLP. PDF
Threat Scenarios and Best Practices to Detect Neural Fake News.
Artidoro Pagnoni, Martin Graciarena, and Yulia Tsvetkov. Proc. COLING. PDF
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching.
Alissa Ostapenko, Shuly Wintner, Melinda Fricke, and Yulia Tsvetkov. Proc. ACL'22. PDF
Controlled Analyses of Social Biases in Wikipedia Bios. (Wikimedia Foundation research award of the year)
Anjalie Field, Chan Young Park, Kevin Z. Lin, and Yulia Tsvetkov. Proc. TheWebConf'22. PDF
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision.
Zirui Wang, Jiahui Yu, Adams Wei Yu, Zihang Dai, Yulia Tsvetkov, and Yuan Cao. Proc. ICLR'22. PDF
2021
Controlled Text Generation as Continuous Optimization with Multiple Constraints.
Sachin Kumar, Eric Malmi, Aliaksei Severyn, and Yulia Tsvetkov. Proc. NeurIPS'21. PDF
SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers.
Dheeraj Rajagopal, Vidhisha Balachandran, Eduard Hovy, and Yulia Tsvetkov. Proc. EMNLP'21. PDF
Evaluating the Morphosyntactic Well-formedness of Generated Texts.
Adithya Pratapa, Antonios Anastasopoulos, Shruti Rijhwani, Aditi Chaudhary, David R. Mortensen, Graham Neubig, and Yulia Tsvetkov. Proc. EMNLP'21. PDF
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates.
Xiaochuang Han and Yulia Tsvetkov. Proc. Findings of EMNLP'21. PDF
Detecting Community Sensitive Norm Violations in Online Conversations.
Chan Young Park, Julia Mendelsohn, Karthik Radhakrishnan, Kinjal Jain, Tushar Kanakagiri, David Jurgens, and Yulia Tsvetkov. Proc. Findings of EMNLP'21. PDF
Efficient Test Time Adapter Ensembling for Low-resource Language Varieties.
Xinyi Wang, Yulia Tsvetkov, Sebastian Ruder, and Graham Neubig. Proc. Findings of EMNLP'21. PDF
Simple and Efficient ways to Improve REALM.
Vidhisha Balachandran, Ashish Vaswani, Yulia Tsvetkov, and Niki Parmar. Proc. MRQA'21. PDF
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs.
Monisha Jegadeesan, Sachin Kumar, John Wieting, and Yulia Tsvetkov. Proc. MRL'21. PDF
Improving Span Representation for Domain-adapted Coreference Resolution.
Nupoor Gandhi, Anjalie Field, and Yulia Tsvetkov. Proc. CRAC'21. PDF
A Survey of Race, Racism, and Anti-Racism in NLP.
Anjalie Field, Su Lin Blodgett, Zeerak Waseem and Yulia Tsvetkov. Proc. ACL'21. PDF
Machine Translation into Low-resource Language Varieties.
Sachin Kumar, Antonios Anastasopoulos, Shuly Wintner and Yulia Tsvetkov. Proc. ACL'21. PDF
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation.
Prakhar Gupta, Yulia Tsvetkov, Jeffrey P. Bigham. Proc. Findings of ACL'21. PDF
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics.
Artidoro Pagnoni, Vidhisha Balachandran, and Yulia Tsvetkov. Proc. NAACL'21. PDF
Controlling Dialogue Generation with Semantic Exemplars.
Prakhar Gupta, Jeffrey P. Bigham, Yulia Tsvetkov, and Amy Pavel. Proc. NAACL'21. PDF
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues.
Rishabh Joshi, Vidhisha Balachandran, Shikhar Vashishth, Alan Black, and Yulia Tsvetkov. Proc. ICLR'21. PDF
Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. (Spotlight paper)
Zirui Wang, Yulia Tsvetkov, Orhan Firat, and Yuan Cao. Proc. ICLR'21. PDF
StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization.
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, and Yulia Tsvetkov. Proc. EACL'21. PDF
Ranking Transfer Languages with Pragmatically-Motivated Features for Multilingual Sentiment Analysis.
Jimin Sun, Hwijeen Ahn, Chan Young Park, Yulia Tsvetkov, and David R. Mortensen. Proc. EACL'21. PDF
Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia.
Chan Young Park, Xinru Yan, Anjalie Field and Yulia Tsvetkov. Proc. ICWSM'21. PDF
An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation.
Lidia Kidane, Sachin Kumar and Yulia Tsvetkov. Proc. AfricaNLP'21. PDF
2020
Unsupervised Discovery of Implicit Gender Bias.
Anjalie Field and Yulia Tsvetkov. Proc. EMNLP'20. PDF
On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment.
Zirui Wang, Zachary C. Lipton and Yulia Tsvetkov. Proc. EMNLP'20. PDF
Fortifying Toxic Speech Detectors Against Veiled Toxicity.
Xiaochuang Han and Yulia Tsvetkov. Proc. EMNLP'20. PDF
Automatic Extraction of Rules Governing Morphological Agreement.
Aditi Chaudhary, Antonios Anastasopoulos, Adithya Pratapa, David R. Mortensen, Zaid Sheikh, Yulia Tsvetkov and Graham Neubig. Proc. EMNLP'20. PDF
Understanding Linguistic Accommodation in Code-Switched Human-Machine Dialogues.
Tanmay Parekh, Emily Ahn, Yulia Tsvetkov and Alan W Black. Proc. CoNLL'20. PDF
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification.
Sopan Khosla, Rishabh Joshi, Ritam Dutt, Alan W. Black, and Yulia Tsvetkov. Proc. SemEval'20. PDF
A Computational Analysis of Polarization on Indian and Pakistani Social Media. (Best paper runner-up)
Aman Tyagi, Anjalie Field, Priyank Lathwal, Yulia Tsvetkov, and Kathleen M. Carley. Proc. SocInfo'20. PDF
A framework for the computational linguistic analysis of dehumanization.
Julia Mendelsohn, Yulia Tsvetkov, and Dan Jurafsky. Frontiers in Artificial Intelligence. PDF
Demoting Racial Bias in Hate Speech Detection.
Mengzhou Xia, Anjalie Field, and Yulia Tsvetkov. Proc. SocialNLP'20. PDF
A Deep Reinforced Model for Cross-Lingual Summarization with Bilingual Semantic Similarity Reward.
Zi-Yi Dou, Sachin Kumar, and Yulia Tsvetkov. Proc. WNGT'20. PDF
Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions
Xiaochuang Han, Byron C. Wallace and Yulia Tsvetkov. Proc. ACL'20. PDF
Balancing Training for Multilingual Neural Machine Translation
Xinyi Wang, Yulia Tsvetkov and Graham Neubig. Proc. ACL'20. PDF
Stress and Burnout in Open Source: Toward Finding, Understanding, and Mitigating Unhealthy Interactions
Naveen Raman, Minxuan Cao, Yulia Tsvetkov, Christian Kästner, and Bogdan Vasilescu. Proc. of International Conference on Software Engineering -- New Ideas Track (ICSE-NIER). PDF
Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History
Yiheng Zhou, Yulia Tsvetkov, Alan W Black and Zhou Yu. Proc. ICLR'20. PDF
What Code-Switching Strategies are Effective in Dialog Systems?
Emily Ahn, Cecilia Jimenez, Yulia Tsvetkov and Alan W Black. Proc. SCiL'20. PDF
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods
Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David Mortensen and Yulia Tsvetkov. Proc. SCiL'20. PDF
2019
Topics to Avoid: Demoting Latent Confounds in Text Classification
Sachin Kumar, Shuly Wintner, Noah A. Smith, and Yulia Tsvetkov. Proc. EMNLP'19. PDF
Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts
Luke M. Breitfeller, Emily Ahn, David Jurgens, and Yulia Tsvetkov. Proc. EMNLP'19. PDF
Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation
Chan Young Park and Yulia Tsvetkov. Proc. WNGT'19. PDF
A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation
Gayatri Bhat, Sachin Kumar, and Yulia Tsvetkov. Proc. WNGT'19. PDF
A Dynamic Strategy Coach for Effective Negotiation
Yiheng Zhou, He He, Alan W Black and Yulia Tsvetkov. Proc. SIGdial'19. PDF
Entity-Centric Contextual Affective Analysis
Anjalie Field and Yulia Tsvetkov. Proc. ACL'19. PDF
CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology. (Interpretability Prize)
Aditi Chaudhary, Elizabeth Salesky, Gayatri Bhat, David R. Mortensen, Jaime G. Carbonell and Yulia Tsvetkov. Proc. SIGMORPHON'19. PDF
Quantifying Social Biases in Contextual Word Representations
Keita Kurita, Nidhi Vyas, Ayush Pareek, Alan W Black and Yulia Tsvetkov. Proc. of Workshop on Gender Bias for NLP. PDF
Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories
Anjalie Field, Gayatri Bhat and Yulia Tsvetkov. Proc. ICWSM'19. PDF
Black is to Criminal as Caucasian is to Police: Detecting and Removing Multiclass Bias in Word Embeddings
Thomas Manzini, Yao Chong, Yulia Tsvetkov and Alan W Black. Proc. NAACL'19. PDF
Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs
Sachin Kumar and Yulia Tsvetkov. Proc. ICLR'19. PDF
2018
Framing and Agenda-setting in Russian News: a Computational Analysis of Intricate Political Strategies
Anjalie Field, Doron Kliger, Shuly Wintner, Jennifer Pan, Dan Jurafsky, and Yulia Tsvetkov. Proc. EMNLP'18. PDF
Style Transfer Through Back-Translation
Shrimai Prabhumoye, Yulia Tsvetkov,
Ruslan Salakhutdinov, and Alan W Black. Proc. ACL'18. PDF
Native Language Cognate Effects on Second Language Lexical Choice
Ella Rabinovich, Yulia Tsvetkov, and Shuly Wintner. Proceedings of the Transactions of Association for Computational Linguistics (TACL). 2018. PDF DATA
RtGender: A Corpus for Studying Differential Responses to Gender
Rob Voigt, David Jurgens, Vinodkumar Prabhakaran, Dan Jurafsky, and Yulia Tsvetkov. Proc. LREC'18. PDF DATA
2017
Incorporating Dialectal Variability for Socially Equitable Language Identification
David Jurgens, Yulia Tsvetkov and Dan Jurafsky. Proc. ACL'17. PDF CODE
Writer Profiling Without the Writer's Text
David Jurgens, Yulia Tsvetkov and Dan Jurafsky. Proc. SocInfo'17. PDF
2016
Linguistic Knowledge in Data-Driven Natural Language Processing
Yulia Tsvetkov, PhD thesis, September 2016. PDF
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Brian MacWhinney and Chris Dyer. Proc. ACL'16. PDF
Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov, Manaal Faruqui and Chris Dyer. In RepEval'16. PDF CODE
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui, Yulia Tsvetkov, Pushpendre Rastogi and Chris Dyer. In RepEval'16. PDF
Polyglot Neural Language Models: Case Study in Cross-Lingual Phonetic Representation Learning
Yulia Tsvetkov, Sunayana Sitaram, Manaal Faruqui, Guillaume Lample, Patrick Littell, David Mortensen, Alan W Black, Lori Levin and Chris Dyer. Proc. NAACL'16. PDF
Morphological Inflection Generation Using Character Sequence to Sequence Learning
Manaal Faruqui, Yulia Tsvetkov, Graham Neubig and Chris Dyer. Proc. NAACL'16. PDF
Massively Multilingual Word Embeddings
Waleed Ammar, George Mulcaire, Yulia Tsvetkov, Guillaume Lample, Chris Dyer and Noah A. Smith. arXiv preprint PDF
Cross-Lingual Bridges with Models of Lexical Borrowing.
Yulia Tsvetkov and Chris Dyer. Journal of Artificial Intelligence Research (JAIR). 2016. PDF
2015
Evaluation of Word Vector Representations by Subspace Alignment.
Yulia Tsvetkov, Manaal Faruqui, Wang Ling, Guillaume Lample and Chris Dyer. In Proc. EMNLP'15. PDF CODE
Not All Contexts Are Created Equal: Better Word Representations with Variable Attention.
Wang Ling, Chu-Cheng Lin, Yulia Tsvetkov, Silvio Amir, Ramón Fernandez Astudillo, Chris Dyer, Alan W Black and Isabel Trancoso. In Proc. EMNLP'15. PDF
Lexicon Stratification for Translating Out-of-Vocabulary Words.
Yulia Tsvetkov and Chris Dyer. In Proc. ACL'15. PDF
Sparse Overcomplete Word Vector Representations.
Manaal Faruqui, Yulia Tsvetkov, Dani Yogatama, Chris Dyer and Noah Smith. In Proc. ACL'15. PDF
A Bottom Up Approach to Category Mapping and Meaning Change.
Haim Dubossarsky, Yulia Tsvetkov, Chris Dyer and Eitan Grossman. In Proc. NetWordS'15. PDF
Constraint-Based Models of Lexical Borrowing.
Yulia Tsvetkov, Waleed Ammar, and Chris Dyer. In Proc. NAACL'15. PDF
2014
Identification of Multi-word Expressions by Combining Multiple Linguistic Information Sources.
Yulia Tsvetkov and Shuly Wintner. Computational Linguistics, 40(2):449-468, 2014. PDF
Metaphor Detection with Cross-Lingual Model Transfer.
Yulia Tsvetkov, Leonid Boytsov, Anatole Gershman, Eric Nyberg and Chris Dyer. In Proc. ACL'14. PDF CODE DATA
Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation.
Yulia Tsvetkov, Florian Metze and Chris Dyer. In Proc. EACL'14. PDF
Augmenting English Adjective Senses with Supersenses.
Yulia Tsvetkov, Nathan Schneider, Dirk Hovy, Archna Bhatia, Manaal Faruqui and Chris Dyer. In Proc. LREC'14. PDF CODE DATA
Unified Annotation Scheme for the Semantic/Pragmatic Components of Definiteness.
Archna Bhatia, Mandy Simons, Lori Levin, Yulia Tsvetkov, Chris Dyer and Jordan Bender. In Proc. LREC'14. PDF DATA
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 Levin, Mandy Simons and Chris Dyer. In Proc. COLING'14. PDF
The CMU Machine Translation Systems at WMT 2014.
Austin Matthews, Waleed Ammar, Archna Bhatia, Weston Feely, Greg Hanneman, Eva Schlinger, Swabha Swayamdipta, Yulia Tsvetkov, Alon Lavie and Chris Dyer. In Proc. WMT'14. PDF
2013
Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options.
Yulia Tsvetkov, Chris Dyer, Lori Levin and Archna Bhatia. In Proc. WMT'13. PDF
The CMU Machine Translation Systems at WMT 2013: Syntax, Synthetic Translation Options, and Pseudo-References.
Waleed Ammar, Victor Chahuneau, Michael Denkowski, Greg Hanneman, Wang Ling, Austin Matthews, Kenton Murray, Nicola Segall, Yulia Tsvetkov, Alon Lavie and Chris Dyer. In Proc. WMT'13. PDF
Identifying the L1 of non-native writers: the CMU-Haifa system.
Yulia Tsvetkov, Naama Twitto, Nathan Schneider, Noam Ordan, Manaal Faruqui, Victor Chahuneau, Shuly Wintner and Chris Dyer. In Proc. the 8th Workshop on Innovative Use of NLP for Building Educational Applications, 2013. PDF
Cross-Lingual Metaphor Detection Using Common Semantic Features.
Yulia Tsvetkov, Elena Mukomel, Anatole Gershman. In Proc. Meta4NLP Workshop, 2013. PDF
Identification and Modeling of Word Fragments in Spontaneous Speech.
Yulia Tsvetkov, Zaid Sheikh, and Florian Metze. In Proc. ICASSP'13. PDF
2012
2011
2010
Extraction of Multi-word Expressions from Small Parallel Corpora.
Yulia Tsvetkov. University of Haifa M.Sc. thesis, September 2010. PDF
Extraction of Multi-word Expressions from Small Parallel Corpora.
Yulia Tsvetkov and Shuly Wintner. In Proc. COLING'10. PDF
Automatic Acquisition of Parallel Corpora from Websites with Dynamic Content.
Yulia Tsvetkov and Shuly Wintner. In Proc. LREC'10. PDF