Learning Language Representations for Typology Prediction. - Chaitanya Malaviya; Graham Neubig; Patrick Littell (EMNLP, 2017)

DyNet: The Dynamic Neural Network Toolkit. - Graham Neubig; Chris Dyer; Yoav Goldberg; Austin Matthews; Waleed Ammar; Antonios Anastasopoulos; Miguel Ballesteros; David Chiang 001; Daniel Clothiaux; Trevor Cohn; Kevin Duh; Manaal Faruqui; et al. (CoRR, 2017)

Sparse and Constrained Attention for Neural Machine Translation. - Chaitanya Malaviya; Pedro Ferreira; André F. T. Martins (ACL (2), 2018)

Neural Factor Graph Models for Cross-lingual Morphological Tagging. - Chaitanya Malaviya; Matthew R. Gormley; Graham Neubig (ACL (1), 2018)

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. - Antoine Bosselut; Hannah Rashkin; Maarten Sap; Chaitanya Malaviya; Asli Celikyilmaz; Yejin Choi 001 (ACL (1), 2019)

A Simple Joint Model for Improved Contextual Neural Lemmatization. - Chaitanya Malaviya; Shijie Wu; Ryan Cotterell (NAACL-HLT (1), 2019)

Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion. - Chaitanya Malaviya; Chandra Bhagavatula; Antoine Bosselut; Yejin Choi 001 (CoRR, 2019)

The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection. - Arya D. McCarthy; Ekaterina Vylomova; Shijie Wu; Chaitanya Malaviya; Lawrence Wolf-Sonkin; Garrett Nicolai; Christo Kirov; Miikka Silfverberg; S. J. Mielke; Jeffrey Heinz; Ryan Cotterell; Mans Hulden (CoRR, 2019)

Commonsense Knowledge Base Completion with Structural and Semantic Context. - Chaitanya Malaviya; Chandra Bhagavatula; Antoine Bosselut; Yejin Choi 001 (AAAI, 2020)

G-DAug: Generative Data Augmentation for Commonsense Reasoning. - Yiben Yang; Chaitanya Malaviya; Jared Fernandez; Swabha Swayamdipta; Ronan Le Bras 001; Ji-Ping Wang; Chandra Bhagavatula; Yejin Choi 001; Doug Downey (EMNLP (Findings), 2020)

Abductive Commonsense Reasoning. - Chandra Bhagavatula; Ronan Le Bras 001; Chaitanya Malaviya; Keisuke Sakaguchi; Ari Holtzman; Hannah Rashkin; Doug Downey; Wen-tau Yih; Yejin Choi 001 (ICLR, 2020)

Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models. - Chaitanya Malaviya; Sudeep Bhatia; Mark Yatskar (EMNLP, 2022)

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. - Chaitanya Malaviya; Peter Shaw 004; Ming-Wei Chang; Kenton Lee; Kristina Toutanova (ACL (1), 2023)

AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference. - Yuewei Yuan; Chaitanya Malaviya; Mark Yatskar (EACL (Findings), 2023)

Pachinko: Patching Interpretable QA Models through Natural Language Feedback. - Chaitanya Malaviya; Subin Lee; Dan Roth 001; Mark Yatskar (CoRR, 2023)

AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? - Ori Yoran; Samuel Joseph Amouyal; Chaitanya Malaviya; Ben Bogin; Ofir Press; Jonathan Berant (EMNLP, 2024)

ExpertQA: Expert-Curated Questions and Attributed Answers. - Chaitanya Malaviya; Subin Lee; Sihao Chen; Elizabeth Sieber; Mark Yatskar; Dan Roth 001 (NAACL-HLT, 2024)

What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception. - Chaitanya Malaviya; Subin Lee; Dan Roth 001; Mark Yatskar (NAACL-HLT, 2024)

Contextualized Evaluations: Taking the Guesswork Out of Language Model Evaluations. - Chaitanya Malaviya; Joseph Chee Chang; Dan Roth 001; Mohit Iyyer; Mark Yatskar; Kyle Lo (CoRR, 2024)

Calibrating Large Language Models with Sample Consistency. - Qing Lyu 001; Kumar Shridhar; Chaitanya Malaviya; Li Zhang 039; Yanai Elazar; Niket Tandon; Marianna Apidianaki; Mrinmaya Sachan; Chris Callison-Burch (AAAI, 2025)

On Reference (In-)Determinacy in Natural Language Inference. - Sihao Chen; Chaitanya Malaviya; Alex Fabrikant; Hagai Taitelbaum; Tal Schuster; Senaka Buthpitiya; Dan Roth 001 (NAACL (Findings), 2025)

Dolomites: Domain-Specific Long-Form Methodical Tasks. - Chaitanya Malaviya; Priyanka Agrawal; Kuzman Ganchev; Pranesh Srinivasan; Fantine Huot; Jonathan Berant; Mark Yatskar; Dipanjan Das 001; Mirella Lapata; Chris Alberti (Trans. Assoc. Comput. Linguistics, 2025)

Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries. - Chaitanya Malaviya; Joseph Chee Chang; Dan Roth 001; Mohit Iyyer; Mark Yatskar; Kyle Lo (Trans. Assoc. Comput. Linguistics, 2025)

EvalAgent: Discovering Implicit Evaluation Criteria from the Web. - Manya Wadhwa; Zayne Sprague; Chaitanya Malaviya; Philippe Laban; Junyi Jessy Li; Greg Durrett (CoRR, 2025)

LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval. - Yanzhen Shen; Sihao Chen; Xueqiang Xu; Yunyi Zhang; Chaitanya Malaviya; Dan Roth 001 (CoRR, 2025)

Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models. - Anirudh Bharadwaj; Chaitanya Malaviya; Nitish Joshi; Mark Yatskar (CoRR, 2025)