Chaitanya Malaviya

43 papers A* 7Journal 26Unranked 10
YearRankTypeTitle / Venue / Authors
2025 A* conf
Calibrating Large Language Models with Sample Consistency.
AAAI
Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch
2025 J jnl
Contextualized Evaluations: Judging Language Model Responses to Underspecified Queries.
Trans. Assoc. Comput. Linguistics
Chaitanya Malaviya, Joseph Chee Chang, Dan Roth, Mohit Iyyer, Mark Yatskar, Kyle Lo
2025 J jnl
Dolomites: Domain-Specific Long-Form Methodical Tasks.
Trans. Assoc. Comput. Linguistics
Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti
2025 J jnl
EvalAgent: Discovering Implicit Evaluation Criteria from the Web.
CoRR
Manya Wadhwa, Zayne Sprague, Chaitanya Malaviya, Philippe Laban, Junyi Jessy Li, Greg Durrett
2025 J jnl
Flattery, Fluff, and Fog: Diagnosing and Mitigating Idiosyncratic Biases in Preference Models.
CoRR
Anirudh Bharadwaj, Chaitanya Malaviya, Nitish Joshi, Mark Yatskar
2025 A* conf
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval.
EMNLP
Yanzhen Shen, Sihao Chen, Xueqiang Xu, Yunyi Zhang, Chaitanya Malaviya, Dan Roth
2025 J jnl
LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval.
CoRR
Yanzhen Shen, Sihao Chen, Xueqiang Xu, Yunyi Zhang, Chaitanya Malaviya, Dan Roth
2025 — conf
On Reference (In-)Determinacy in Natural Language Inference.
NAACL (Findings)
Sihao Chen, Chaitanya Malaviya, Alex Fabrikant, Hagai Taitelbaum, Tal Schuster, Senaka Buthpitiya, Dan Roth
2025 J jnl
On Reference (In-)Determinacy in Natural Language Inference.
CoRR
Sihao Chen, Chaitanya Malaviya, Alex Fabrikant, Hagai Taitelbaum, Tal Schuster, Senaka Buthpitiya, Dan Roth
2025 J jnl
ResearchQA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubrics.
CoRR
Li S. Yifei, Allen Chang, Chaitanya Malaviya, Mark Yatskar
2024 A* conf
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
EMNLP
Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant
2024 J jnl
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?
CoRR
Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant
2024 J jnl
Calibrating Large Language Models with Sample Consistency.
CoRR
Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch
2024 J jnl
Contextualized Evaluations: Taking the Guesswork Out of Language Model Evaluations.
CoRR
Chaitanya Malaviya, Joseph Chee Chang, Dan Roth, Mohit Iyyer, Mark Yatskar, Kyle Lo
2024 J jnl
DOLOMITES: Domain-Specific Long-Form Methodical Tasks.
CoRR
Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti
2024 — conf
ExpertQA: Expert-Curated Questions and Attributed Answers.
NAACL-HLT
Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth
2024 — conf
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception.
NAACL-HLT
Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar
2023 — conf
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference.
EACL (Findings)
Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar
2023 J jnl
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference.
CoRR
Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar
2023 J jnl
ExpertQA: Expert-Curated Questions and Attributed Answers.
CoRR
Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth
2023 J jnl
Pachinko: Patching Interpretable QA Models through Natural Language Feedback.
CoRR
Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar
2023 — conf
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations.
ACL (1)
Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
2023 J jnl
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations.
CoRR
Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
2022 A* conf
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models.
EMNLP
Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar
2022 J jnl
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models.
CoRR
Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar
2020 A* conf
Abductive Commonsense Reasoning.
ICLR
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi
2020 A* conf
Commonsense Knowledge Base Completion with Structural and Semantic Context.
AAAI
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi
2020 J jnl
G-DAUG: Generative Data Augmentation for Commonsense Reasoning.
CoRR
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2020 — conf
G-DAug: Generative Data Augmentation for Commonsense Reasoning.
EMNLP (Findings)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
2019 — conf
A Simple Joint Model for Improved Contextual Neural Lemmatization.
NAACL-HLT (1)
Chaitanya Malaviya, Shijie Wu, Ryan Cotterell
2019 J jnl
A Simple Joint Model for Improved Contextual Neural Lemmatization.
CoRR
Chaitanya Malaviya, Shijie Wu, Ryan Cotterell
2019 J jnl
Abductive Commonsense Reasoning.
CoRR
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi
2019 — conf
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction.
ACL (1)
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi
2019 J jnl
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction.
CoRR
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi
2019 J jnl
Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion.
CoRR
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi
2019 J jnl
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection.
CoRR
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
2018 — conf
Neural Factor Graph Models for Cross-lingual Morphological Tagging.
ACL (1)
Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig
2018 J jnl
Neural Factor Graph Models for Cross-lingual Morphological Tagging.
CoRR
Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig
2018 — conf
Sparse and Constrained Attention for Neural Machine Translation.
ACL (2)
Chaitanya Malaviya, Pedro Ferreira, André F. T. Martins
2018 J jnl
Sparse and Constrained Attention for Neural Machine Translation.
CoRR
Chaitanya Malaviya, Pedro Ferreira, André F. T. Martins
2017 J jnl
DyNet: The Dynamic Neural Network Toolkit.
CoRR
Graham Neubig, Chris Dyer, Yoav Goldberg, Austin Matthews, Waleed Ammar, Antonios Anastasopoulos, Miguel Ballesteros, David Chiang, Daniel Clothiaux, Trevor Cohn, Kevin Duh, Manaal Faruqui, Cynthia Gan, Dan Garrette, Yangfeng Ji, Lingpeng Kong, Adhiguna Kuncoro, Gaurav Kumar, Chaitanya Malaviya, Paul Michel, Yusuke Oda, Matthew Richardson, Naomi Saphra, Swabha Swayamdipta, Pengcheng Yin
2017 A* conf
Learning Language Representations for Typology Prediction.
EMNLP
Chaitanya Malaviya, Graham Neubig, Patrick Littell
2017 J jnl
Learning Language Representations for Typology Prediction.
CoRR
Chaitanya Malaviya, Graham Neubig, Patrick Littell