Automatic Acquisition of Parallel Corpora from Websites with Dynamic Content. - Yulia Tsvetkov; Shuly Wintner (LREC, 2010)

Identification of Multi-word Expressions by Combining Multiple Linguistic Information Sources. - Yulia Tsvetkov; Shuly Wintner (EMNLP, 2011)

Extraction of multi-word expressions from small parallel corpora. - Yulia Tsvetkov; Shuly Wintner (Nat. Lang. Eng., 2012)

Identifying the L1 of non-native writers: the CMU-Haifa system. - Yulia Tsvetkov; Naama Twitto; Nathan Schneider 001; Noam Ordan; Manaal Faruqui; Victor Chahuneau; Shuly Wintner; Chris Dyer (BEA@NAACL-HLT, 2013)

Identification and modeling of word fragments in spontaneous speech. - Yulia Tsvetkov; Zaid Sheikh; Florian Metze (ICASSP, 2013)

Generating English Determiners in Phrase-Based Translation with Synthetic Translation Options. - Yulia Tsvetkov; Chris Dyer; Lori S. Levin; Archna Bhatia (WMT@ACL, 2013)

Metaphor Detection with Cross-Lingual Model Transfer. - Yulia Tsvetkov; Leonid Boytsov; Anatole Gershman; Eric Nyberg; Chris Dyer (ACL (1), 2014)

Automatic Classification of Communicative Functions of Definiteness. - Archna Bhatia; Chu-Cheng Lin; Nathan Schneider 001; Yulia Tsvetkov; Fatima Talib Al-Raisi; Laleh Roostapour; Jordan Bender; Abhimanu Kumar; Lori S. Levin; Mandy Simons; Chris Dyer (COLING, 2014)

Augmenting Translation Models with Simulated Acoustic Confusions for Improved Spoken Language Translation. - Yulia Tsvetkov; Florian Metze; Chris Dyer (EACL, 2014)

A Unified Annotation Scheme for the Semantic/Pragmatic Components of Definiteness. - Archna Bhatia; Mandy Simons; Lori S. Levin; Yulia Tsvetkov; Chris Dyer; Jordan Bender (LREC, 2014)

Augmenting English Adjective Senses with Supersenses. - Yulia Tsvetkov; Nathan Schneider 001; Dirk Hovy; Archna Bhatia; Manaal Faruqui; Chris Dyer (LREC, 2014)

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; Chris Dyer (WMT@ACL, 2014)

Identification of Multiword Expressions by Combining Multiple Linguistic Information Sources. - Yulia Tsvetkov; Shuly Wintner (Comput. Linguistics, 2014)

Sparse Overcomplete Word Vector Representations. - Manaal Faruqui; Yulia Tsvetkov; Dani Yogatama; Chris Dyer; Noah A. Smith (ACL (1), 2015)

Lexicon Stratification for Translating Out-of-Vocabulary Words. - Yulia Tsvetkov; Chris Dyer (ACL (2), 2015)

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 (EMNLP, 2015)

Evaluation of Word Vector Representations by Subspace Alignment. - Yulia Tsvetkov; Manaal Faruqui; Wang Ling; Guillaume Lample; Chris Dyer (EMNLP, 2015)

Constraint-Based Models of Lexical Borrowing. - Yulia Tsvetkov; Waleed Ammar; Chris Dyer (HLT-NAACL, 2015)

A bottom up approach to category mapping and meaning change. - Haim Dubossarsky; Yulia Tsvetkov; Chris Dyer; Eitan Grossman (NetWordS, 2015)

Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning. - Yulia Tsvetkov; Manaal Faruqui; Wang Ling; Brian MacWhinney; Chris Dyer (ACL (1), 2016)

Morphological Inflection Generation Using Character Sequence to Sequence Learning. - Manaal Faruqui; Yulia Tsvetkov; Graham Neubig; Chris Dyer (HLT-NAACL, 2016)

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 (HLT-NAACL, 2016)

Problems With Evaluation of Word Embeddings Using Word Similarity Tasks. - Manaal Faruqui; Yulia Tsvetkov; Pushpendre Rastogi; Chris Dyer (RepEval@ACL, 2016)

Correlation-based Intrinsic Evaluation of Word Vector Representations. - Yulia Tsvetkov; Manaal Faruqui; Chris Dyer (RepEval@ACL, 2016)

Massively Multilingual Word Embeddings. - Waleed Ammar; George Mulcaire; Yulia Tsvetkov; Guillaume Lample; Chris Dyer; Noah A. Smith (CoRR, 2016)

Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning. - Yulia Tsvetkov; Manaal Faruqui; Wang Ling; Chris Dyer (CoRR, 2016)

Cross-Lingual Bridges with Models of Lexical Borrowing. - Yulia Tsvetkov; Chris Dyer (J. Artif. Intell. Res., 2016)

Incorporating Dialectal Variability for Socially Equitable Language Identification. - David Jurgens; Yulia Tsvetkov; Dan Jurafsky (ACL (2), 2017)

Writer Profiling Without the Writer's Text. - David Jurgens; Yulia Tsvetkov; Dan Jurafsky (SocInfo (2), 2017)

Style Transfer Through Back-Translation. - Shrimai Prabhumoye; Yulia Tsvetkov; Ruslan Salakhutdinov; Alan W. Black (ACL (1), 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; Yulia Tsvetkov (EMNLP, 2018)

RtGender: A Corpus for Studying Differential Responses to Gender. - Rob Voigt; David Jurgens; Vinodkumar Prabhakaran; Dan Jurafsky; Yulia Tsvetkov (LREC, 2018)

Socially Responsible NLP. - Yulia Tsvetkov; Vinodkumar Prabhakaran; Rob Voigt (NAACL-HLT (Tutorial Abstracts), 2018)

Style Transfer Through Multilingual and Feedback-Based Back-Translation. - Shrimai Prabhumoye; Yulia Tsvetkov; Alan W. Black; Ruslan Salakhutdinov (CoRR, 2018)

Native Language Cognate Effects on Second Language Lexical Choice. - Ella Rabinovich; Yulia Tsvetkov; Shuly Wintner (Trans. Assoc. Comput. Linguistics, 2018)

Entity-Centric Contextual Affective Analysis. - Anjalie Field; Yulia Tsvetkov (ACL (1), 2019)

A Margin-based Loss with Synthetic Negative Samples for Continuous-output Machine Translation. - Gayatri Bhat; Sachin Kumar 009; Yulia Tsvetkov (NGT@EMNLP-IJCNLP, 2019)

Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts. - Luke Breitfeller; Emily P. Ahn; David Jurgens; Yulia Tsvetkov (EMNLP/IJCNLP (1), 2019)

Topics to Avoid: Demoting Latent Confounds in Text Classification. - Sachin Kumar 009; Shuly Wintner; Noah A. Smith; Yulia Tsvetkov (EMNLP/IJCNLP (1), 2019)

Learning to Generate Word- and Phrase-Embeddings for Efficient Phrase-Based Neural Machine Translation. - Chan Young Park; Yulia Tsvetkov (NGT@EMNLP-IJCNLP, 2019)

Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs. - Sachin Kumar 009; Yulia Tsvetkov (ICLR (Poster), 2019)

Contextual Affective Analysis: A Case Study of People Portrayals in Online #MeToo Stories. - Anjalie Field; Gayatri Bhat; Yulia Tsvetkov (ICWSM, 2019)

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 (NAACL-HLT (1), 2019)

A Dynamic Strategy Coach for Effective Negotiation. - Yiheng Zhou; He He 001; Alan W. Black; Yulia Tsvetkov (SIGdial, 2019)

Socially Responsible Natural Language Processing. - Yulia Tsvetkov; Vinodkumar Prabhakaran; Rob Voigt (WWW (Companion Volume), 2019)

Measuring Bias in Contextualized Word Representations. - Keita Kurita; Nidhi Vyas; Ayush Pareek; Alan W. Black; Yulia Tsvetkov (CoRR, 2019)

CMU-01 at the SIGMORPHON 2019 Shared Task on Crosslinguality and Context in Morphology. - Aditi Chaudhary; Elizabeth Salesky; Gayatri Bhat; David R. Mortensen; Jaime G. Carbonell; Yulia Tsvetkov (CoRR, 2019)

Demoting Racial Bias in Hate Speech Detection. - Mengzhou Xia; Anjalie Field; Yulia Tsvetkov (SocialNLP@ACL, 2020)

Explaining Black Box Predictions and Unveiling Data Artifacts through Influence Functions. - Xiaochuang Han; Byron C. Wallace; Yulia Tsvetkov (ACL, 2020)

Balancing Training for Multilingual Neural Machine Translation. - Xinyi Wang 001; Yulia Tsvetkov; Graham Neubig (ACL, 2020)

A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards. - Zi-Yi Dou; Sachin Kumar 009; Yulia Tsvetkov (NGT@ACL, 2020)

Understanding Linguistic Accommodation in Code-Switched Human-Machine Dialogues. - Tanmay Parekh; Emily P. Ahn; Yulia Tsvetkov; Alan W. Black (CoNLL, 2020)

Automatic Extraction of Rules Governing Morphological Agreement. - Aditi Chaudhary; Antonios Anastasopoulos; Adithya Pratapa; David R. Mortensen; Zaid Sheikh; Yulia Tsvetkov; Graham Neubig (EMNLP (1), 2020)

Unsupervised Discovery of Implicit Gender Bias. - Anjalie Field; Yulia Tsvetkov (EMNLP (1), 2020)

Fortifying Toxic Speech Detectors Against Veiled Toxicity. - Xiaochuang Han; Yulia Tsvetkov (EMNLP (1), 2020)

On Negative Interference in Multilingual Models: Findings and A Meta-Learning Treatment. - Zirui Wang; Zachary C. Lipton; Yulia Tsvetkov (EMNLP (1), 2020)

End-to-End Differentiable GANs for Text Generation. - Sachin Kumar 009; Yulia Tsvetkov (ICBINB@NeurIPS, 2020)

Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History. - Yiheng Zhou; Yulia Tsvetkov; Alan W. Black; Zhou Yu 005 (ICLR, 2020)

Stress and burnout in open source: toward finding, understanding, and mitigating unhealthy interactions. - Naveen Raman 001; Minxuan Cao; Yulia Tsvetkov; Christian Kästner; Bogdan Vasilescu (ICSE (NIER), 2020)

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; Yulia Tsvetkov (SemEval@COLING, 2020)

A Computational Analysis of Polarization on Indian and Pakistani Social Media. - Aman Tyagi; Anjalie Field; Priyank Lathwal; Yulia Tsvetkov; Kathleen M. Carley (SocInfo, 2020)

Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. - Maria Ryskina; Ella Rabinovich; Taylor Berg-Kirkpatrick; David R. Mortensen; Yulia Tsvetkov (CoRR, 2020)

StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization. - Vidhisha Balachandran; Artidoro Pagnoni; Jay Yoon Lee; Dheeraj Rajagopal; Jaime G. Carbonell; Yulia Tsvetkov (CoRR, 2020)

Ranking Transfer Languages with Pragmatically-Motivated Features for Multilingual Sentiment Analysis. - Jimin Sun; Hwijeen Ahn; Chan Young Park; Yulia Tsvetkov; David R. Mortensen (CoRR, 2020)

A Framework for the Computational Linguistic Analysis of Dehumanization. - Julia Mendelsohn; Yulia Tsvetkov; Dan Jurafsky (Frontiers Artif. Intell., 2020)

A Survey of Race, Racism, and Anti-Racism in NLP. - Anjalie Field; Su Lin Blodgett; Zeerak Waseem; Yulia Tsvetkov (ACL/IJCNLP (1), 2021)

Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation. - Prakhar Gupta; Yulia Tsvetkov; Jeffrey P. Bigham (ACL/IJCNLP (Findings), 2021)

Machine Translation into Low-resource Language Varieties. - Sachin Kumar 009; Antonios Anastasopoulos; Shuly Wintner; Yulia Tsvetkov (ACL/IJCNLP (2), 2021)

StructSum: Summarization via Structured Representations. - Vidhisha Balachandran; Artidoro Pagnoni; Jay Yoon Lee; Dheeraj Rajagopal; Jaime G. Carbonell; Yulia Tsvetkov (EACL, 2021)

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 (EACL, 2021)

Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates. - Xiaochuang Han; Yulia Tsvetkov (EMNLP (Findings), 2021)

Detecting Community Sensitive Norm Violations in Online Conversations. - Chan Young Park; Julia Mendelsohn; Karthik Radhakrishnan; Kinjal Jain; Tushar Kanakagiri; David Jurgens; Yulia Tsvetkov (EMNLP (Findings), 2021)

Evaluating the Morphosyntactic Well-formedness of Generated Texts. - Adithya Pratapa; Antonios Anastasopoulos; Shruti Rijhwani; Aditi Chaudhary; David R. Mortensen; Graham Neubig; Yulia Tsvetkov (EMNLP (1), 2021)

SELFEXPLAIN: A Self-Explaining Architecture for Neural Text Classifiers. - Dheeraj Rajagopal; Vidhisha Balachandran; Eduard H. Hovy; Yulia Tsvetkov (EMNLP (1), 2021)

Efficient Test Time Adapter Ensembling for Low-resource Language Varieties. - Xinyi Wang 001; Yulia Tsvetkov; Sebastian Ruder; Graham Neubig (EMNLP (Findings), 2021)

DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues. - Rishabh Joshi; Vidhisha Balachandran; Shikhar Vashishth; Alan W. Black; Yulia Tsvetkov (ICLR, 2021)

Gradient Vaccine: Investigating and Improving Multi-task Optimization in Massively Multilingual Models. - Zirui Wang; Yulia Tsvetkov; Orhan Firat; Yuan Cao 007 (ICLR, 2021)

Multilingual Contextual Affective Analysis of LGBT People Portrayals in Wikipedia. - Chan Young Park; Xinru Yan; Anjalie Field; Yulia Tsvetkov (ICWSM, 2021)

Controlling Dialogue Generation with Semantic Exemplars. - Prakhar Gupta; Jeffrey P. Bigham; Yulia Tsvetkov; Amy Pavel (NAACL-HLT, 2021)

Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics. - Artidoro Pagnoni; Vidhisha Balachandran; Yulia Tsvetkov (NAACL-HLT, 2021)

Controlled Text Generation as Continuous Optimization with Multiple Constraints. - Sachin Kumar 009; Eric Malmi; Aliaksei Severyn; Yulia Tsvetkov (NeurIPS, 2021)

Controlled Analyses of Social Biases in Wikipedia Bios. - Anjalie Field; Chan Young Park; Yulia Tsvetkov (CoRR, 2021)

An Exploration of Data Augmentation Techniques for Improving English to Tigrinya Translation. - Lidia Kidane; Sachin Kumar 009; Yulia Tsvetkov (AfricaNLP, 2021)

Simple and Efficient ways to Improve REALM. - Vidhisha Balachandran; Ashish Vaswani; Yulia Tsvetkov; Niki Parmar (CoRR, 2021)

Improving Span Representation for Domain-adapted Coreference Resolution. - Nupoor Gandhi; Anjalie Field; Yulia Tsvetkov (CoRR, 2021)

Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs. - Monisha Jegadeesan; Sachin Kumar 009; John Wieting; Yulia Tsvetkov (CoRR, 2021)

Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching. - Alissa Ostapenko; Shuly Wintner; Melinda Fricke; Yulia Tsvetkov (ACL (1), 2022)

Threat Scenarios and Best Practices to Detect Neural Fake News. - Artidoro Pagnoni; Martin Graciarena; Yulia Tsvetkov (COLING, 2022)

Correcting Diverse Factual Errors in Abstractive Summarization via Post-Editing and Language Model Infilling. - Vidhisha Balachandran; Hannaneh Hajishirzi; William W. Cohen; Yulia Tsvetkov (EMNLP, 2022)

Gradient-based Constrained Sampling from Language Models. - Sachin Kumar 009; Biswajit Paria; Yulia Tsvetkov (EMNLP, 2022)

Gendered Mental Health Stigma in Masked Language Models. - Inna W. Lin; Lucille Njoo; Anjalie Field; Ashish Sharma 004; Katharina Reinecke; Tim Althoff; Yulia Tsvetkov (EMNLP, 2022)

Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media. - Chan Young Park; Julia Mendelsohn; Anjalie Field; Yulia Tsvetkov (EMNLP (Findings), 2022)

Referee: Reference-Free Sentence Summarization with Sharper Controllability through Symbolic Knowledge Distillation. - Melanie Sclar; Peter West; Sachin Kumar 009; Yulia Tsvetkov; Yejin Choi 001 (EMNLP, 2022)

SimVLM: Simple Visual Language Model Pretraining with Weak Supervision. - Zirui Wang; Jiahui Yu; Adams Wei Yu; Zihang Dai; Yulia Tsvetkov; Yuan Cao 007 (ICLR, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Controlled Analyses of Social Biases in Wikipedia Bios. - Anjalie Field; Chan Young Park; Kevin Z. Lin; Yulia Tsvetkov (WWW, 2022)

VoynaSlov: A Data Set of Russian Social Media Activity during the 2022 Ukraine-Russia War. - Chan Young Park; Julia Mendelsohn; Anjalie Field; Yulia Tsvetkov (CoRR, 2022)

Constrained Sampling from Language Models via Langevin Dynamics in Embedding Spaces. - Sachin Kumar 009; Biswajit Paria; Yulia Tsvetkov (CoRR, 2022)

ORCA: Interpreting Prompted Language Models via Locating Supporting Data Evidence in the Ocean of Pretraining Data. - Xiaochuang Han; Yulia Tsvetkov (CoRR, 2022)

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 (ACL (1), 2023)

KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding. - Shangbin Feng; Zhaoxuan Tan; Wenqian Zhang; Zhenyu Lei 004; Yulia Tsvetkov (ACL (1), 2023)

SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control. - Xiaochuang Han; Sachin Kumar 009; Yulia Tsvetkov (ACL (1), 2023)

Understanding In-Context Learning via Supportive Pretraining Data. - Xiaochuang Han; Daniel Simig; Todor Mihaylov; Yulia Tsvetkov; Asli Celikyilmaz; Tianlu Wang (ACL (1), 2023)

On the Blind Spots of Model-Based Evaluation Metrics for Text Generation. - Tianxing He; Jingyu Zhang; Tianle Wang 003; Sachin Kumar 009; Kyunghyun Cho; James R. Glass; Yulia Tsvetkov (ACL (1), 2023)

Minding Language Models' (Lack of) Theory of Mind: A Plug-and-Play Multi-Character Belief Tracker. - Melanie Sclar; Sachin Kumar 009; Peter West; Alane Suhr; Yejin Choi 001; Yulia Tsvetkov (ACL (1), 2023)

Unsupervised Keyphrase Extraction via Interpretable Neural Networks. - Rishabh Joshi; Vidhisha Balachandran; Emily Saldanha; Maria Glenski; Svitlana Volkova; Yulia Tsvetkov (EACL (Findings), 2023)

Language Generation Models Can Cause Harm: So What Can We Do About It? An Actionable Survey. - Sachin Kumar 009; Vidhisha Balachandran; Lucille Njoo; Antonios Anastasopoulos; Yulia Tsvetkov (EACL, 2023)

On the Zero-Shot Generalization of Machine-Generated Text Detectors. - Xiao Pu 003; Jingyu Zhang; Xiaochuang Han; Yulia Tsvetkov; Tianxing He (EMNLP (Findings), 2023)

Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models. - Orevaoghene Ahia; Sachin Kumar 009; Hila Gonen; Jungo Kasai; David R. Mortensen; Noah A. Smith; Yulia Tsvetkov (EMNLP, 2023)

FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge. - Shangbin Feng; Vidhisha Balachandran; Yuyang Bai; Yulia Tsvetkov (EMNLP, 2023)

TalkUp: Paving the Way for Understanding Empowering Language. - Lucille Njoo; Chan Young Park; Octavia Stappart; Marvin Thielk; Yi Chu; Yulia Tsvetkov (EMNLP (Findings), 2023)

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 (EMNLP (Findings), 2023)

GlobalBench: A Benchmark for Global Progress in Natural Language Processing. - Yueqi Song; Simran Khanuja; Pengfei Liu 003; Fahim Faisal; Alissa Ostapenko; Genta Indra Winata; Alham Fikri Aji; Samuel Cahyawijaya; Yulia Tsvetkov; Antonios Anastasopoulos; Graham Neubig (EMNLP, 2023)

BotPercent: Estimating Bot Populations in Twitter Communities. - Zhaoxuan Tan; Shangbin Feng; Melanie Sclar; Herun Wan; Minnan Luo; Yejin Choi 001; Yulia Tsvetkov (EMNLP (Findings), 2023)

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; Yulia Tsvetkov (FAccT, 2023)

Can Language Models Solve Graph Problems in Natural Language? - Heng Wang 008; Shangbin Feng; Tianxing He; Zhaoxuan Tan; Xiaochuang Han; Yulia Tsvetkov (NeurIPS, 2023)

LEXPLAIN: Improving Model Explanations via Lexicon Supervision. - Orevaoghene Ahia; Hila Gonen; Vidhisha Balachandran; Yulia Tsvetkov; Noah A. Smith (*SEM@ACL, 2023)

BotPercent: Estimating Twitter Bot Populations from Groups to Crowds. - Zhaoxuan Tan; Shangbin Feng; Melanie Sclar; Herun Wan; Minnan Luo; Yejin Choi 001; Yulia Tsvetkov (CoRR, 2023)

Assessing Language Model Deployment with Risk Cards. - Leon Derczynski; Hannah Rose Kirk; Vidhisha Balachandran; Sachin Kumar 009; Yulia Tsvetkov; Mark R. Leiser; Saif Mohammad (CoRR, 2023)

CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge. - Shangbin Feng; Weijia Shi; Yuyang Bai; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

TalkUp: A Novel Dataset Paving the Way for Understanding Empowering Language. - Lucille Njoo; Chan Young Park; Octavia Stappart; Marvin Thielk; Yi Chu; Yulia Tsvetkov (CoRR, 2023)

GlobalBench: A Benchmark for Global Progress in Natural Language Processing. - Yueqi Song; Catherine Cui; Simran Khanuja; Pengfei Liu 003; Fahim Faisal; Alissa Ostapenko; Genta Indra Winata; Alham Fikri Aji; Samuel Cahyawijaya; Yulia Tsvetkov; Antonios Anastasopoulos; Graham Neubig (CoRR, 2023)

SSD-2: Scaling and Inference-time Fusion of Diffusion Language Models. - Xiaochuang Han; Sachin Kumar 009; Yulia Tsvetkov; Marjan Ghazvininejad (CoRR, 2023)

LatticeGen: A Cooperative Framework which Hides Generated Text in a Lattice for Privacy-Aware Generation on Cloud. - Mengke Zhang; Tianxing He; Tianle Wang 003; Lu Mi; Fatemehsadat Mireshghallah; Binyi Chen; Hao Wang 014; Yulia Tsvetkov (CoRR, 2023)

Resolving Knowledge Conflicts in Large Language Models. - Yike Wang 002; Shangbin Feng; Heng Wang 008; Weijia Shi; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. - Wenxuan Ding 001; Shangbin Feng; Yuhan Liu; Zhaoxuan Tan; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (CoRR, 2023)

What Constitutes a Faithful Summary? Preserving Author Perspectives in News Summarization. - Yuhan Liu; Shangbin Feng; Xiaochuang Han; Vidhisha Balachandran; Chan Young Park; Sachin Kumar 009; Yulia Tsvetkov (CoRR, 2023)

Mental Health Stigma across Diverse Genders in Generative Large Language Models - Abstract (abstract). - Lucille Njoo; Lee Janzen-Morel; Inna Wanyin Lin; Yulia Tsvetkov (ML4CMH@AAAI, 2024)

Knowledge Crosswords: Geometric Knowledge Reasoning with Large Language Models. - Wenxuan Ding 001; Shangbin Feng; Yuhan Liu; Zhaoxuan Tan; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (ACL (Findings), 2024)

DIALECTBENCH: An NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. - Fahim Faisal; Orevaoghene Ahia; Aarohi Srivastava; Kabir Ahuja; David Chiang 001; Yulia Tsvetkov; Antonios Anastasopoulos (ACL (1), 2024)

Don't Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration. - Shangbin Feng; Weijia Shi; Yike Wang 002; Wenxuan Ding 001; Vidhisha Balachandran; Yulia Tsvetkov (ACL (1), 2024)

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 (ACL (1), 2024)

DELL: Generating Reactions and Explanations for LLM-Based Misinformation Detection. - Herun Wan; Shangbin Feng; Zhaoxuan Tan; Heng Wang 008; Yulia Tsvetkov; Minnan Luo (ACL (Findings), 2024)

Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks. - Yichen Wang 002; Shangbin Feng; Abe Bohan Hou; Xiao Pu 003; Chao Shen 001; Xiaoming Liu 001; Yulia Tsvetkov; Tianxing He (ACL (1), 2024)

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; Yulia Tsvetkov (EMNLP, 2024)

Teaching LLMs to Abstain across Languages via Multilingual Feedback. - Shangbin Feng; Weijia Shi; Yike Wang 002; Wenxuan Ding 001; Orevaoghene Ahia; Shuyue Stella Li; Vidhisha Balachandran; Sunayana Sitaram; Yulia Tsvetkov (EMNLP, 2024)

Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration. - Shangbin Feng; Taylor Sorensen; Yuhan Liu; Jillian Fisher; Chan Young Park; Yejin Choi 001; Yulia Tsvetkov (EMNLP, 2024)

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 (EMNLP (Findings), 2024)

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 (EMNLP, 2024)

Can LLM Graph Reasoning Generalize beyond Pattern Memorization? - Yizhuo Zhang 001; Heng Wang 008; Shangbin Feng; Zhaoxuan Tan; Xiaochuang Han; Tianxing He; Yulia Tsvetkov (EMNLP (Findings), 2024)

Beyond the Stethoscope: Operationalizing Interactive Clinical Reasoning in Large Language Models via Proactive Information Seeking. - Shuyue Stella Li; Vidhisha Balachandran; Shangbin Feng; Emma Pierson; Pang Wei Koh; Yulia Tsvetkov (ICHI, 2024)

Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions. - Sachin Kumar 009; Chan Young Park; Yulia Tsvetkov (ICLR, 2024)

Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models. - Shangbin Feng; Weijia Shi; Yuyang Bai; Vidhisha Balachandran; Tianxing He; Yulia Tsvetkov (ICLR, 2024)

Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. - Niloofar Mireshghallah; Hyunwoo Kim 002; Xuhui Zhou; Yulia Tsvetkov; Maarten Sap; Reza Shokri; Yejin Choi 001 (ICLR, 2024)

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting. - Melanie Sclar; Yejin Choi 001; Yulia Tsvetkov; Alane Suhr (ICLR, 2024)

BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer. - Akari Asai; Sneha Kudugunta; Xinyan Yu 001; Terra Blevins; Hila Gonen; Machel Reid; Yulia Tsvetkov; Sebastian Ruder; Hannaneh Hajishirzi (NAACL-HLT, 2024)

David helps Goliath: Inference-Time Collaboration Between Small Specialized and Large General Diffusion LMs. - Xiaochuang Han; Sachin Kumar 009; Yulia Tsvetkov; Marjan Ghazvininejad (NAACL-HLT, 2024)

SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation. - Abe Bohan Hou; Jingyu Zhang; Tianxing He; Yichen Wang 002; Yung-Sung Chuang; Hongwei Wang; Lingfeng Shen; Benjamin Van Durme; Daniel Khashabi; Yulia Tsvetkov (NAACL-HLT, 2024)

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 009; Yulia Tsvetkov (NAACL-HLT, 2024)

Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. - Weijia Shi; Xiaochuang Han; Mike Lewis; Yulia Tsvetkov; Luke Zettlemoyer; Wen-tau Yih (NAACL (Short Papers), 2024)

Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers. - Roy Xie; Orevaoghene Ahia; Yulia Tsvetkov; Antonios Anastasopoulos (NAACL (Short Papers), 2024)

LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud. - Mengke Zhang; Tianxing He; Tianle Wang 003; Lu Mi; Niloofar Mireshghallah; Binyi Chen; Hao Wang 014; Yulia Tsvetkov (NAACL-HLT (Findings), 2024)

MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization. - Orevaoghene Ahia; Sachin Kumar 009; Hila Gonen; Valentin Hofmann; Tomasz Limisiewicz; Yulia Tsvetkov; Noah A. Smith (NeurIPS, 2024)

The Art of Saying No: Contextual Noncompliance in Language Models. - Faeze Brahman; Sachin Kumar 009; Vidhisha Balachandran; Pradeep Dasigi; Valentina Pyatkin; Abhilasha Ravichander; Sarah Wiegreffe; Nouha Dziri; Khyathi Raghavi Chandu; Jack Hessel; Yulia Tsvetkov; Noah A. Smith; et al. (NeurIPS, 2024)

MatFormer: Nested Transformer for Elastic Inference. - Devvrit; Sneha Kudugunta; Aditya Kusupati; Tim Dettmers; Kaifeng Chen; Inderjit S. Dhillon; Yulia Tsvetkov; Hanna Hajishirzi; Sham M. Kakade; Ali Farhadi; Prateek Jain 002 (NeurIPS, 2024)

MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical Reasoning. - Shuyue Stella Li; Vidhisha Balachandran; Shangbin Feng; Jonathan Ilgen; Emma Pierson; Pang Wei W. Koh; Yulia Tsvetkov (NeurIPS, 2024)

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 (WWW, 2024)

Fine-grained Hallucination Detection and Editing for Language Models. - Abhika Mishra; Akari Asai; Vidhisha Balachandran; Yizhong Wang; Graham Neubig; Yulia Tsvetkov; Hannaneh Hajishirzi (CoRR, 2024)

Tuning Language Models by Proxy. - Alisa Liu; Xiaochuang Han; Yizhong Wang; Yulia Tsvetkov; Yejin Choi 001; Noah A. Smith (CoRR, 2024)

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 001; David Evans 001; Hannaneh Hajishirzi (CoRR, 2024)

DIALECTBENCH: A NLP Benchmark for Dialects, Varieties, and Closely-Related Languages. - Fahim Faisal; Orevaoghene Ahia; Aarohi Srivastava; Kabir Ahuja; David Chiang 001; Yulia Tsvetkov; Antonios Anastasopoulos (CoRR, 2024)

CulturalTeaming: AI-Assisted Interactive Red-Teaming for Challenging LLMs' (Lack of) Multicultural Knowledge. - Yu Ying Chiu; Liwei Jiang; Maria Antoniak; Chan Young Park; Shuyue Stella Li; Mehar Bhatia; Sahithya Ravi; Yulia Tsvetkov; Vered Shwartz; Yejin Choi 001 (CoRR, 2024)

Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically. - Kabir Ahuja; Vidhisha Balachandran; Madhur Panwar; Tianxing He; Noah A. Smith; Navin Goyal; Yulia Tsvetkov (CoRR, 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; Yulia Tsvetkov (CoRR, 2024)

MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization. - Orevaoghene Ahia; Sachin Kumar 009; Hila Gonen; Valentin Hoffman; Tomasz Limisiewicz; Yulia Tsvetkov; Noah A. Smith (CoRR, 2024)

The Art of Refusal: A Survey of Abstention in Large Language Models. - Bingbing Wen; Jihan Yao; Shangbin Feng; Chenjun Xu; Yulia Tsvetkov; Bill Howe; Lucy Lu Wang (CoRR, 2024)

JPEG-LM: LLMs as Image Generators with Canonical Codec Representations. - Xiaochuang Han; Marjan Ghazvininejad; Pang Wei Koh; Yulia Tsvetkov (CoRR, 2024)

CulturalBench: a Robust, Diverse and Challenging Benchmark on Measuring the (Lack of) Cultural Knowledge of LLMs. - 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 001 (CoRR, 2024)

Biased AI can Influence Political Decision-Making. - Jillian Fisher; Shangbin Feng; Robert Aron; Thomas Richardson; Yejin Choi 001; Daniel W. Fisher; Jennifer Pan; Yulia Tsvetkov; Katharina Reinecke (CoRR, 2024)

Model Swarms: Collaborative Search to Adapt LLM Experts via Swarm Intelligence. - Shangbin Feng; Zifeng Wang 002; Yike Wang 002; Sayna Ebrahimi; Hamid Palangi; Lesly Miculicich; Achin Kulshrestha; Nathalie Rauschmayr; Yejin Choi 001; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2024)

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 001 (ACL (1), 2025)

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 (ACL (1), 2025)

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 001; Asli Celikyilmaz (ICLR, 2025)

Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only. - Jihan Yao; Wenxuan Ding 001; Shangbin Feng; Lucy Lu Wang; Yulia Tsvetkov (ICLR, 2025)

ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs. - Aly M. Kassem; Omar Mahmoud; Niloofar Mireshghallah; Hyunwoo Kim 002; Yulia Tsvetkov; Yejin Choi 001; Sherif Saad; Santu Rana (NAACL (Long Papers), 2025)

ComPO: Community Preferences for Language Model Personalization. - Sachin Kumar 009; Chan Young Park; Yulia Tsvetkov; Noah A. Smith; Hannaneh Hajishirzi (NAACL (Long Papers), 2025)

Investigating machine moral judgement through the Delphi experiment. - Liwei Jiang; Jena D. Hwang; Chandra Bhagavatula; Ronan Le Bras 001; Jenny T. Liang; Sydney Levine; Jesse Dodge; Keisuke Sakaguchi; Maxwell Forbes; Jack Hessel; Jonathan Borchardt; Taylor Sorensen; et al. (Nat. Mac. Intell., 2025)

Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers. - Kabir Ahuja; Vidhisha Balachandran; Madhur Panwar; Tianxing He; Noah A. Smith; Navin Goyal; Yulia Tsvetkov (Trans. Assoc. Comput. Linguistics, 2025)

Know Your Limits: A Survey of Abstention in Large Language Models. - Bingbing Wen; Jihan Yao; Shangbin Feng; Chenjun Xu; Yulia Tsvetkov; Bill Howe; Lucy Lu Wang (Trans. Assoc. Comput. Linguistics, 2025)

When One LLM Drools, Multi-LLM Collaboration Rules. - Shangbin Feng; Wenxuan Ding 001; Alisa Liu; Zifeng Wang 002; Weijia Shi; Yike Wang 002; Zejiang Shen 001; Xiaochuang Han; Hunter Lang; Chen-Yu Lee; Tomas Pfister; Yejin Choi 001; et al. (CoRR, 2025)

Heterogeneous Swarms: Jointly Optimizing Model Roles and Weights for Multi-LLM Systems. - Shangbin Feng; Zifeng Wang 002; Palash Goyal; Yike Wang 002; Weijia Shi; Huang Xia; Hamid Palangi; Luke Zettlemoyer; Yulia Tsvetkov; Chen-Yu Lee; Tomas Pfister (CoRR, 2025)

Aligning LLMs to Ask Good Questions A Case Study in Clinical Reasoning. - Shuyue Stella Li; Jimin Mun; Faeze Brahman; Jonathan Ilgen; Yulia Tsvetkov; Maarten Sap (CoRR, 2025)

Political Neutrality in AI is Impossible- But Here is How to Approximate it. - 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; Yejin Choi 001 (CoRR, 2025)

Medical Hallucinations in Foundation Models and Their Impact on Healthcare. - Yubin Kim 002; Hyewon Jeong; Shan Chen 004; Shuyue Stella Li; Mingyu Lu; Kumail Alhamoud; Jimin Mun; Cristina Grau; Minseok Jung; Rodrigo Gameiro; Lizhou Fan; Eugene Park; et al. (CoRR, 2025)

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 (CoRR, 2025)

Finding Flawed Fictions: Evaluating Complex Reasoning in Language Models via Plot Hole Detection. - Kabir Ahuja; Melanie Sclar; Yulia Tsvetkov (CoRR, 2025)

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 002; Yejin Choi 001; Yulia Tsvetkov; Sewoong Oh; Pang Wei Koh (CoRR, 2025)

BLAB: Brutally Long Audio Bench. - Orevaoghene Ahia; Martijn Bartelds; Kabir Ahuja; Hila Gonen; Valentin Hofmann; Siddhant Arora; Shuyue Stella Li; Vishal Puttagunta; Mofetoluwa Adeyemi; Charishma Buchireddy; Ben Walls; Noah Bennett; et al. (CoRR, 2025)

MMMG: a Comprehensive and Reliable Evaluation Suite for Multitask Multimodal Generation. - Jihan Yao; Yushi Hu; Yujie Yi; Bin Han 011; Shangbin Feng; Guang Yang 046; Bingbing Wen; Ranjay Krishna; Lucy Lu Wang; Yulia Tsvetkov; Noah A. Smith; Banghua Zhu (CoRR, 2025)

ScienceMeter: Tracking Scientific Knowledge Updates in Language Models. - Yike Wang 002; Shangbin Feng; Yulia Tsvetkov; Hannaneh Hajishirzi (CoRR, 2025)

Data Swarms: Optimizable Generation of Synthetic Evaluation Data. - Shangbin Feng; Yike Wang 002; Weijia Shi; Yulia Tsvetkov (CoRR, 2025)

GuessBench: Sensemaking Multimodal Creativity in the Wild. - Zifeng Zhu; Shangbin Feng; Herun Wan; Ningnan Wang; Minnan Luo; Yulia Tsvetkov (CoRR, 2025)

Generalizable LLM Learning of Graph Synthetic Data with Reinforcement Learning. - Yizhuo Zhang 001; Heng Wang 008; Shangbin Feng; Zhaoxuan Tan; Xinyun Liu; Yulia Tsvetkov (CoRR, 2025)

SPARTA ALIGNMENT: Collectively Aligning Multiple Language Models through Combat. - Yuru Jiang; Wenxuan Ding 001; Shangbin Feng; Greg Durrett; Yulia Tsvetkov (CoRR, 2025)

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 001; Pang Wei Koh; Luke Zettlemoyer (CoRR, 2025)

MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation. - Junhao Chen; Yulia Tsvetkov; Xiaochuang Han (CoRR, 2025)

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 001; Sewon Min; Ranjay Krishna; Yulia Tsvetkov; Hannaneh Hajishirzi; et al. (CoRR, 2025)

Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations? - Yiwei Yang 009; Chung Peng Lee; Shangbin Feng; Dora Zhao; Bingbing Wen; Anthony Z. Liu; Yulia Tsvetkov; Bill Howe (CoRR, 2025)

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 (CoRR, 2025)

PrefPalette: Personalized Preference Modeling with Latent Attributes. - Shuyue Stella Li; Melanie Sclar; Hunter Lang; Ansong Ni; Jacqueline He; Puxin Xu; Andrew Cohen; Chan Young Park; Yulia Tsvetkov; Asli Celikyilmaz (CoRR, 2025)