TREC 2002 QA at BBN: Answer Selection and Confidence Estimation. - Jinxi Xu; Ana Licuanan; Jonathan May; Scott Miller; Ralph M. Weischedel (TREC, 2002)

Answer Selection and Confidence Estimation. - Jinxi Xu; Ana Licuanan; Jonathan May; Scott Miller; Ralph M. Weischedel (New Directions in Question Answering, 2003)

Surprise! What's in a Cebuano or Hindi Name? - Jonathan May; Ada Brunstein; Premkumar Natarajan; Ralph M. Weischedel (ACM Trans. Asian Lang. Inf. Process., 2003)

A Better N-Best List: Practical Determinization of Weighted Finite Tree Automata. - Jonathan May; Kevin Knight (HLT-NAACL, 2006)

Tiburon: A Weighted Tree Automata Toolkit. - Jonathan May; Kevin Knight (CIAA, 2006)

Bisimulation Minimisation for Weighted Tree Automata. - Johanna Högberg; Andreas Maletti; Jonathan May (Developments in Language Theory, 2007)

Syntactic Re-Alignment Models for Machine Translation. - Jonathan May; Kevin Knight (EMNLP-CoNLL, 2007)

Backward and Forward Bisimulation Minimisation of Tree Automata. - Johanna Högberg; Andreas Maletti; Jonathan May (CIAA, 2007)

Training Tree Transducers. - Jonathan Graehl; Kevin Knight; Jonathan May (Comput. Linguistics, 2008)

Backward and forward bisimulation minimization of tree automata. - Johanna Högberg; Andreas Maletti; Jonathan May (Theor. Comput. Sci., 2009)

Efficient Inference through Cascades of Weighted Tree Transducers. - Jonathan May; Kevin Knight; Heiko Vogler (ACL, 2010)

Re-structuring, Re-labeling, and Re-aligning for Syntax-Based Machine Translation. - Wei Wang 006; Jonathan May; Kevin Knight; Daniel Marcu (Comput. Linguistics, 2010)

Determinization of Weighted Tree Automata Using Factorizations. - Matthias Büchse; Jonathan May; Heiko Vogler (J. Autom. Lang. Comb., 2010)

Tuning as Ranking. - Mark Hopkins; Jonathan May (EMNLP, 2011)

An Analysis (and an Annotated Corpus) of User Responses to Machine Translation Output. - Daniele Pighin; Lluís Màrquez; Jonathan May (LREC, 2012)

Models of Translation Competitions. - Mark Hopkins; Jonathan May (ACL (1), 2013)

Identifying Useful Human Correction Feedback from an On-Line Machine Translation Service. - Alberto Barrón-Cedeño; Lluís Màrquez; Carlos A. Henríquez Q.; Lluís Formiga; Enrique Romero; Jonathan May (IJCAI, 2013)

An Arabizi-English social media statistical machine translation system. - Jonathan May; Yassine Benjira; Abdessamad Echihabi (AMTA, 2014)

Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation. - Michael Pust; Ulf Hermjakob; Kevin Knight; Daniel Marcu; Jonathan May (EMNLP, 2015)

Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation. - Michael Pust; Ulf Hermjakob; Kevin Knight; Daniel Marcu; Jonathan May (CoRR, 2015)

Transfer Learning for Low-Resource Neural Machine Translation. - Barret Zoph; Deniz Yuret; Jonathan May; Kevin Knight (EMNLP, 2016)

Extracting Structured Scholarly Information from the Machine Translation Literature. - Eunsol Choi; Matic Horvat; Jonathan May; Kevin Knight; Daniel Marcu (LREC, 2016)

Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies. - Barret Zoph; Ashish Vaswani; Jonathan May; Kevin Knight (HLT-NAACL, 2016)

SemEval-2016 Task 8: Meaning Representation Parsing. - Jonathan May (SemEval@NAACL-HLT, 2016)

Building a Fine-Grained Entity Typing System Overnight for a New X (X = Language, Domain, Genre). - Lifu Huang; Jonathan May; Xiaoman Pan; Heng Ji 001 (CoRR, 2016)

Cross-lingual Name Tagging and Linking for 282 Languages. - Xiaoman Pan; Boliang Zhang; Jonathan May; Joel Nothman; Kevin Knight; Heng Ji 001 (ACL (1), 2017)

Team ELISA System for DARPA LORELEI Speech Evaluation 2016. - Pavlos Papadopoulos; Ruchir Travadi; Colin Vaz; Nikolaos Malandrakis; Ulf Hermjakob; Nima Pourdamghani; Michael Pust; Boliang Zhang; Xiaoman Pan; Di Lu 003; Ying Lin; Ondrej Glembek; et al. (INTERSPEECH, 2017)

SemEval-2017 Task 9: Abstract Meaning Representation Parsing and Generation. - Jonathan May; Jay Priyadarshi (SemEval@ACL, 2017)

Liberal Entity Extraction: Rapid Construction of Fine-Grained Entity Typing Systems. - Lifu Huang; Jonathan May; Xiaoman Pan; Heng Ji 001; Xiang Ren 001; Jiawei Han 001; Lin Zhao; James A. Hendler (Big Data, 2017)

Recurrent Neural Networks as Weighted Language Recognizers. - Yining Chen; Sorcha Gilroy; Kevin Knight; Jonathan May (CoRR, 2017)

Out-of-the-box Universal Romanization Tool uroman. - Ulf Hermjakob; Jonathan May; Kevin Knight (ACL (4), 2018)

Translating a Language You Don't Know In the Chinese Room. - Ulf Hermjakob; Jonathan May; Michael Pust; Kevin Knight (ACL (4), 2018)

Recurrent Neural Networks as Weighted Language Recognizers. - Yining Chen; Sorcha Gilroy; Andreas Maletti; Jonathan May; Kevin Knight (NAACL-HLT, 2018)

ELISA-EDL: A Cross-lingual Entity Extraction, Linking and Localization System. - Boliang Zhang; Ying Lin; Xiaoman Pan; Di Lu 003; Jonathan May; Kevin Knight; Heng Ji 001 (NAACL-HLT (Demonstrations), 2018)

Augmenting Statistical Machine Translation with Subword Translation of Out-of-Vocabulary Words. - Nelson F. Liu; Jonathan May; Michael Pust; Kevin Knight (CoRR, 2018)

Incident-Driven Machine Translation and Name Tagging for Low-resource Languages. - Ulf Hermjakob; Qiang Li; Daniel Marcu; Jonathan May; S. J. Mielke; Nima Pourdamghani; Michael Pust; Xing Shi; Kevin Knight; Tomer Levinboim; Kenton Murray; David Chiang 001; et al. (Mach. Transl., 2018)

Cross-lingual Joint Entity and Word Embedding to Improve Entity Linking and Parallel Sentence Mining. - Xiaoman Pan; Thamme Gowda; Heng Ji 001; Jonathan May; Scott Miller (DeepLo@EMNLP-IJCNLP, 2019)

SARAL: A Low-Resource Cross-Lingual Domain-Focused Information Retrieval System for Effective Rapid Document Triage. - Elizabeth Boschee; Joel Barry; Jayadev Billa; Marjorie Freedman; Thamme Gowda; Constantine Lignos; Chester Palen-Michel; Michael Pust; Banriskhem K. Khonglah; Srikanth R. Madikeri; Jonathan May; Scott Miller (ACL (3), 2019)

Translating Translationese: A Two-Step Approach to Unsupervised Machine Translation. - Nima Pourdamghani; Nada Aldarrab; Marjan Ghazvininejad; Kevin Knight; Jonathan May (ACL (1), 2019)

Comprehensible Context-driven Text Game Playing. - Xusen Yin; Jonathan May (CoG, 2019)

Contextualized Cross-Lingual Event Trigger Extraction with Minimal Resources. - Meryem M'hamdi; Marjorie Freedman; Jonathan May (CoNLL, 2019)

What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis. - Xiaolei Huang 002; Jonathan May; Nanyun Peng 001 (EMNLP/IJCNLP (1), 2019)

Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects. - James Mullenbach; Jonathan Gordon 001; Nanyun Peng 001; Jonathan May (EMNLP/IJCNLP (1), 2019)

Cross-lingual Structure Transfer for Relation and Event Extraction. - Ananya Subburathinam; Di Lu 003; Heng Ji 001; Jonathan May; Shih-Fu Chang; Avirup Sil; Clare R. Voss (EMNLP/IJCNLP (1), 2019)

A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages. - Ronald Cardenas; Ying Lin; Heng Ji 001; Jonathan May (NAACL-HLT (1), 2019)

Cross-lingual Multi-Level Adversarial Transfer to Enhance Low-Resource Name Tagging. - Lifu Huang; Heng Ji 001; Jonathan May (NAACL-HLT (1), 2019)

Learn How to Cook a New Recipe in a New House: Using Map Familiarization, Curriculum Learning, and Common Sense to Learn Families of Text-Based Adventure Games. - Xusen Yin; Jonathan May (CoRR, 2019)

A Universal Parent Model for Low-Resource Neural Machine Translation Transfer. - Mozhdeh Gheini; Jonathan May (CoRR, 2019)

Grounding Conversations with Improvised Dialogues. - Hyundong Cho; Jonathan May (ACL, 2020)

Experience Grounds Language. - Yonatan Bisk; Ari Holtzman; Jesse Thomason; Jacob Andreas; Yoshua Bengio; Joyce Chai; Mirella Lapata; Angeliki Lazaridou; Jonathan May; Aleksandr Nisnevich; Nicolas Pinto; Joseph P. Turian (EMNLP (1), 2020)

Finding the Optimal Vocabulary Size for Neural Machine Translation. - Thamme Gowda; Jonathan May (EMNLP (Findings), 2020)

Connecting the Dots: Event Graph Schema Induction with Path Language Modeling. - Manling Li; Qi Zeng 001; Ying Lin; Kyunghyun Cho; Heng Ji 001; Jonathan May; Nathanael Chambers; Clare R. Voss (EMNLP (1), 2020)

Learning to Generalize for Sequential Decision Making. - Xusen Yin; Ralph M. Weischedel; Jonathan May (EMNLP (Findings), 2020)

Cross-lingual Structure Transfer for Zero-resource Event Extraction. - Di Lu 003; Ananya Subburathinam; Heng Ji 001; Jonathan May; Shih-Fu Chang; Avirup Sil; Clare R. Voss (LREC, 2020)

Neural Machine Translation with Imbalanced Classes. - Thamme Gowda; Jonathan May (CoRR, 2020)

BERT in Negotiations: Early Prediction of Buyer-Seller Negotiation Outcomes. - Kushal Chawla; Gale M. Lucas; Jonathan Gratch; Jonathan May (CoRR, 2020)

Zero-Shot Learning of Text Adventure Games with Sentence-Level Semantics. - Xusen Yin; Jonathan May (CoRR, 2020)

Question Generation for Supporting Informational Query Intents. - Xusen Yin; Jonathan May; Li Zhou 006; Kevin Small (CoRR, 2020)

Summary-Oriented Question Generation for Informational Queries. - Xusen Yin; Li Zhou 006; Kevin Small; Jonathan May (DialDoc@ACL-IJCNLP, 2021)

Can Sequence-to-Sequence Models Crack Substitution Ciphers? - Nada Aldarrab; Jonathan May (ACL/IJCNLP (1), 2021)

Many-to-English Machine Translation Tools, Data, and Pretrained Models. - Thamme Gowda; Zhao Zhang; Chris Mattmann; Jonathan May (ACL (demo), 2021)

WARP: Word-level Adversarial ReProgramming. - Karen Hambardzumyan; Hrant Khachatrian; Jonathan May (ACL/IJCNLP (1), 2021)

PERFUME: Programmatic Extraction and Refinement for Usability of Mathematical Expression. - Nicolaas Weideman; Virginia K. Felkner; Wei-Cheng Wu; Jonathan May; Christophe Hauser; Luis Garcia 001 (Checkmate@CCS, 2021)

Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation. - Mozhdeh Gheini; Xiang Ren 001; Jonathan May (EMNLP (1), 2021)

Multitask Semi-Supervised Learning for Class-Imbalanced Discourse Classification. - Alexander Spangher; Jonathan May; Sz-Rung Shiang; Lingjia Deng (EMNLP (1), 2021)

Salience-Aware Event Chain Modeling for Narrative Understanding. - Xiyang Zhang 004; Muhao Chen 001; Jonathan May (EMNLP (1), 2021)

Explaining Face Presentation Attack Detection Using Natural Language. - Hengameh Mirzaalian; Mohamed E. Hussein 001; Leonidas Spinoulas; Jonathan May; Wael Abd-Almageed (FG, 2021)

CaSiNo: A Corpus of Campsite Negotiation Dialogues for Automatic Negotiation Systems. - Kushal Chawla; Jaysa Ramirez; Rene Clever; Gale M. Lucas; Jonathan May; Jonathan Gratch (NAACL-HLT, 2021)

Macro-Average: Rare Types Are Important Too. - Thamme Gowda; Weiqiu You; Constantine Lignos; Jonathan May (NAACL-HLT, 2021)

X-METRA-ADA: Cross-lingual Meta-Transfer learning Adaptation to Natural Language Understanding and Question Answering. - Meryem M'hamdi; Doo Soon Kim; Franck Dernoncourt; Trung Bui; Xiang Ren 001; Jonathan May (NAACL-HLT, 2021)

Luna: Linear Unified Nested Attention. - Xuezhe Ma; Xiang Kong; Sinong Wang; Chunting Zhou; Jonathan May; Hao Ma 001; Luke Zettlemoyer (NeurIPS, 2021)

Multitask Learning for Class-Imbalanced Discourse Classification. - Alexander Spangher; Jonathan May; Sz-Rung Shiang; Lingjia Deng (CoRR, 2021)

On the Strengths of Cross-Attention in Pretrained Transformers for Machine Translation. - Mozhdeh Gheini; Xiang Ren 001; Jonathan May (CoRR, 2021)

textit{NewsEdits}: A Dataset of Revision Histories for News Articles (Technical Report: Data Processing). - Alexander Spangher; Jonathan May (CoRR, 2021)

Modeling "Newsworthiness" for Lead-Generation Across Corpora. - Alexander Spangher; Nanyun Peng 001; Jonathan May; Emilio Ferrara (CoRR, 2021)

"Don't quote me on that": Finding Mixtures of Sources in News Articles. - Alexander Spangher; Nanyun Peng 001; Jonathan May; Emilio Ferrara (CoRR, 2021)

textit{StateCensusLaws.org}: A Web Application for Consuming and Annotating Legal Discourse Learning. - Alexander Spangher; Jonathan May (CoRR, 2021)

Viola: A Topic Agnostic Generate-and-Rank Dialogue System. - Hyundong Cho; Basel Shbita; Kartik Shenoy; Shuai Liu; Nikhil Patel; Hitesh Pindikanti; Jennifer Lee; Jonathan May (CoRR, 2021)

CheckDST: Measuring Real-World Generalization of Dialogue State Tracking Performance. - Hyundong Cho; Chinnadhurai Sankar; Christopher Lin; Kaushik Ram Sadagopan; Shahin Shayandeh; Asli Celikyilmaz; Jonathan May; Ahmad Beirami (CoRR, 2021)

Segmenting Numerical Substitution Ciphers. - Nada Aldarrab; Jonathan May (EMNLP, 2022)

Machine Translation Robustness to Natural Asemantic Variation. - Jacob Bremerman; Xiang Ren 001; Jonathan May (EMNLP, 2022)

Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics. - Hyundong Cho; Chinnadhurai Sankar; Christopher Lin; Kaushik Ram Sadagopan; Shahin Shayandeh; Asli Celikyilmaz; Jonathan May; Ahmad Beirami (EMNLP (Findings), 2022)

Investigating the Benefits of Free-Form Rationales. - Jiao Sun; Swabha Swayamdipta; Jonathan May; Xuezhe Ma (EMNLP (Findings), 2022)

Opponent Modeling in Negotiation Dialogues by Related Data Adaptation. - Kushal Chawla; Gale M. Lucas; Jonathan May; Jonathan Gratch (NAACL-HLT (Findings), 2022)

Augmenting Training Data for Massive Semantic Matching Models in Low-Traffic E-commerce Stores. - Ashutosh Joshi; Shankar Vishwanath; Choon Hui Teo; Vaclav Petricek; Vishy Vishwanathan; Rahul Bhagat; Jonathan May (NAACL-HLT (Industry Papers), 2022)

NewsEdits: A News Article Revision Dataset and a Novel Document-Level Reasoning Challenge. - Alexander Spangher; Xiang Ren 001; Jonathan May; Nanyun Peng 001 (NAACL-HLT, 2022)

Cross-lingual Lifelong Learning. - Meryem M'hamdi; Xiang Ren 001; Jonathan May (CoRR, 2022)

NewsEdits: A News Article Revision Dataset and a Document-Level Reasoning Challenge. - Alexander Spangher; Xiang Ren 001; Jonathan May; Nanyun Peng 001 (CoRR, 2022)

Towards WinoQueer: Developing a Benchmark for Anti-Queer Bias in Large Language Models. - Virginia K. Felkner; Ho-Chun Herbert Chang; Eugene Jang; Jonathan May (CoRR, 2022)

Checks and Strategies for Enabling Code-Switched Machine Translation. - Thamme Gowda; Mozhdeh Gheini; Jonathan May (CoRR, 2022)

WinoQueer: A Community-in-the-Loop Benchmark for Anti-LGBTQ+ Bias in Large Language Models. - Virginia K. Felkner; Ho-Chun Herbert Chang; Eugene Jang; Jonathan May (ACL (1), 2023)

Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning. - Mozhdeh Gheini; Xuezhe Ma; Jonathan May (ACL (Findings), 2023)

RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation. - Shuai Liu; Hyundong Cho; Marjorie Freedman; Xuezhe Ma; Jonathan May (ACL (1), 2023)

Cross-lingual Continual Learning. - Meryem M'hamdi; Xiang Ren 001; Jonathan May (ACL (1), 2023)

Bridging the Gap between Native Text and Translated Text through Adversarial Learning: A Case Study on Cross-Lingual Event Extraction. - Pengfei Yu; Jonathan May; Heng Ji 001 (EACL (Findings), 2023)

Continual Dialogue State Tracking via Example-Guided Question Answering. - Hyundong Cho; Andrea Madotto; Zhaojiang Lin; Khyathi Raghavi Chandu; Satwik Kottur; Jing Xu; Jonathan May; Chinnadhurai Sankar (EMNLP, 2023)

Challenges in Context-Aware Neural Machine Translation. - Linghao Jin; Jacqueline He; Jonathan May; Xuezhe Ma (EMNLP, 2023)

Analyzing Norm Violations in Live-Stream Chat. - Jihyung Moon; Dong-Ho Lee; Hyundong Cho; Woojeong Jin 001; Chan Young Park; Minwoo Kim; Jonathan May; Jay Pujara; Sungjoon Park (EMNLP, 2023)

Identifying Informational Sources in News Articles. - Alexander Spangher; Nanyun Peng 001; Emilio Ferrara; Jonathan May (EMNLP, 2023)

Mega: Moving Average Equipped Gated Attention. - Xuezhe Ma; Chunting Zhou; Xiang Kong; Junxian He; Liangke Gui; Graham Neubig; Jonathan May; Luke Zettlemoyer (ICLR, 2023)

Feedback Loops and Complex Dynamics of Harmful Speech in Online Discussions. - Rong-Ching Chang; Jonathan May; Kristina Lerman (SBP-BRiMS, 2023)

Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit. - Kai Chen; Zihao He; Rong-Ching Chang; Jonathan May; Kristina Lerman (SBP-BRiMS, 2023)

Blend and Match: Distilling Semantic Search Models with Different Inductive Biases and Model Architectures. - Hamed R. Bonab; Ashutosh Joshi; Ravi Bhatia; Ankit Gandhi; Vijay Huddar; Juhi Naik; Mutasem Al-Darabsah; Choon Hui Teo; Jonathan May; Tarun Agarwal; Vaclav Petricek (WWW (Companion Volume), 2023)

Multilingual Sentence-Level Semantic Search using Meta-Distillation Learning. - Meryem M'hamdi; Jonathan May; Franck Dernoncourt; Trung Bui; Seunghyun Yoon 002 (CoRR, 2023)

GPT is Not an Annotator: The Necessity of Human Annotation in Fairness Benchmark Construction. - Virginia K. Felkner; Jennifer A. Thompson; Jonathan May (ACL (1), 2024)

Tracking the Newsworthiness of Public Documents. - Alexander Spangher; Serdar Tumgoren; Ben Welsh; Nanyun Peng 001; Emilio Ferrara; Jonathan May (ACL (1), 2024)

More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play. - Wichayaporn Wongkamjan; Feng Gu; Yanze Wang; Ulf Hermjakob; Jonathan May; Brandon M. Stewart; Jonathan K. Kummerfeld; Denis Peskoff; Jordan L. Boyd-Graber (ACL (1), 2024)

Speechworthy Instruction-tuned Language Models. - Hyundong Cho; Nicolaas Paul Jedema; Leonardo F. R. Ribeiro; Karishma Sharma; Pedro A. Szekely; Alessandro Moschitti; Ruben Janssen; Jonathan May (EMNLP, 2024)

Explaining Mixtures of Sources in News Articles. - Alexander Spangher; James Youn; Matt DeButts; Nanyun Peng 001; Emilio Ferrara; Jonathan May (EMNLP (Findings), 2024)

Are Large Language Models Capable of Generating Human-Level Narratives? - Yufei Tian; Tenghao Huang; Miri Liu; Derek Jiang; Alexander Spangher; Muhao Chen 001; Jonathan May; Nanyun Peng 001 (EMNLP, 2024)

CPL-NoViD: Context-Aware Prompt-Based Learning for Norm Violation Detection in Online Communities. - Zihao He; Jonathan May; Kristina Lerman (ICWSM, 2024)

Can Language Model Moderators Improve the Health of Online Discourse? - Hyundong Cho; Shuai Liu; Taiwei Shi; Darpan Jain; Basem Rizk; Yuyang Huang; Zixun Lu; Nuan Wen; Jonathan Gratch; Emilio Ferrara; Jonathan May (NAACL-HLT, 2024)

Leitner-Guided Memory Replay for Cross-lingual Continual Learning. - Meryem M'hamdi; Jonathan May (NAACL-HLT, 2024)

LegalDiscourse: Interpreting When Laws Apply and To Whom. - Alexander Spangher; Zihan Xue; Te-Lin Wu; Mark Hansen; Jonathan May (NAACL-HLT, 2024)

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length. - Xuezhe Ma; Xiaomeng Yang; Wenhan Xiong; Beidi Chen; Lili Yu; Hao Zhang 025; Jonathan May; Luke Zettlemoyer; Omer Levy; Chunting Zhou (NeurIPS, 2024)

Multilingual Meta-Distillation Alignment for Semantic Retrieval. - Meryem M'hamdi; Jonathan May; Franck Dernoncourt; Trung Bui; Seunghyun Yoon 002 (SIGIR, 2024)

Authorship Style Transfer with Policy Optimization. - Shuai Liu; Shantanu Agarwal; Jonathan May (CoRR, 2024)

GNOME: Generating Negotiations through Open-Domain Mapping of Exchanges. - Darshan Deshpande; Shambhavi Sinha; Anirudh Ravi Kumar; Debaditya Pal; Jonathan May (CoRR, 2024)

BotEval: Facilitating Interactive Human Evaluation. - Hyundong Cho; Thamme Gowda; Yuyang Huang; Zixun Lu; Tianli Tong; Jonathan May (CoRR, 2024)

FoodPuzzle: Developing Large Language Model Agents as Flavor Scientists. - Tenghao Huang; Donghee Lee; John Sweeney; Jiatong Shi; Emily Steliotes; Matthew Lange; Jonathan May; Muhao Chen 001 (CoRR, 2024)

A Little Human Data Goes A Long Way. - Dhananjay Ashok; Jonathan May (CoRR, 2024)

NewsInterview: a Dataset and a Playground to Evaluate LLMs' Ground Gap via Informational Interviews. - Michael Lu; Hyundong Justin Cho; Weiyan Shi; Jonathan May; Alexander Spangher (CoRR, 2024)

NewsEdits 2.0: Learning the Intentions Behind Updating News. - Alexander Spangher; Kung-Hsiang Huang; Hyundong Cho; Jonathan May (CoRR, 2024)

Can Vision Language Models Understand Mimed Actions? - Hyundong Justin Cho; Spencer Lin; Tejas Srinivasan; Michael Saxon; Deuksin Kwon; Natali T. Chavez; Jonathan May (ACL (Findings), 2025)

R2D2: Remembering, Replaying and Dynamic Decision Making with a Reflective Agentic Memory. - Tenghao Huang; Kinjal Basu 002; Ibrahim Abdelaziz; Pavan Kapanipathi; Jonathan May; Muhao Chen 001 (ACL (1), 2025)

The Million Authors Corpus: A Cross-Lingual and Cross-Domain Wikipedia Dataset for Authorship Verification. - Abraham Israeli; Shuai Liu; Jonathan May; David Jurgens (ACL (Findings), 2025)

NewsInterview: a Dataset and a Playground to Evaluate LLMs' Grounding Gap via Informational Interviews. - Alexander Spangher; Michael Lu; Sriya Kalyan; Hyundong Justin Cho; Tenghao Huang; Weiyan Shi; Jonathan May (ACL (1), 2025)

Should I Trust You? Detecting Deception in Negotiations using Counterfactual RL. - Wichayaporn Wongkamjan; Yanze Wang; Feng Gu; Denis Peskoff; Jonathan K. Kummerfeld; Jonathan May; Jordan Lee Boyd-Graber (ACL (Findings), 2025)

Learning to Rewrite Negation Queries in Product Search. - Mengtian Guo; Mutasem Al-Darabsah; Choon Hui Teo; Jonathan May; Tarun Agarwal; Rahul Bhagat (COLING (Industry), 2025)

Token Pruning Optimization for Efficient Multi-vector Dense Retrieval. - Shanxiu He; Mutasem Al-Darabsah; Suraj Nair 001; Jonathan May; Tarun Agarwal; Tao Yang 009; Choon Hui Teo (ECIR (1), 2025)

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning. - Hyundong Justin Cho; Karishma Sharma; Nicolaas Paul Jedema; Leonardo F. R. Ribeiro; Jonathan May; Alessandro Moschitti (NAACL (Findings), 2025)

Personalized Help for Optimizing Low-Skilled Users' Strategy. - Feng Gu; Wichayaporn Wongkamjan; Jordan Lee Boyd-Graber; Jonathan K. Kummerfeld; Denis Peskoff; Jonathan May (NAACL (Short Papers), 2025)

Style Transfer with Multi-iteration Preference Optimization. - Shuai Liu; Jonathan May (NAACL (Long Papers), 2025)

R2D2: Remembering, Reflecting and Dynamic Decision Making for Web Agents. - Tenghao Huang; Kinjal Basu 002; Ibrahim Abdelaziz; Pavan Kapanipathi; Jonathan May; Muhao Chen 001 (CoRR, 2025)

Tuning-Free Personalized Alignment via Trial-Error-Explain In-Context Learning. - Hyundong Cho; Karishma Sharma; Nicolaas Paul Jedema; Leonardo F. R. Ribeiro; Alessandro Moschitti; Ravi Krishnan; Jonathan May (CoRR, 2025)

Language Models Can Predict Their Own Behavior. - Dhananjay Ashok; Jonathan May (CoRR, 2025)

What is a Good Question? Utility Estimation with LLM-based Simulations. - Dong-Ho Lee; Hyundong Cho; Jonathan May; Jay Pujara (CoRR, 2025)

Can Vision Language Models Understand Mimed Actions? - Hyundong Cho; Spencer Lin; Tejas Srinivasan; Michael S. Bernstein; Deuksin Kwon; Natali T. Chavez; Jonathan May (CoRR, 2025)

Teaching Language Models To Gather Information Proactively. - Tenghao Huang; Sihao Chen; Muhao Chen 001; Jonathan May; Longqi Yang; Mengting Wan; Pei Zhou (CoRR, 2025)