Chaitanya Malaviya

According to our database, Chaitanya Malaviya authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Contextualized Evaluations: Taking the Guesswork Out of Language Model Evaluations.

Chaitanya Malaviya, Joseph Chee Chang, Dan Roth, Mohit Iyyer, Mark Yatskar, Kyle Lo

CoRR, 2024

DOLOMITES: Domain-Specific Long-Form Methodical Tasks.

Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti

CoRR, 2024

Calibrating Large Language Models with Sample Consistency.

Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch

CoRR, 2024

What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception.

Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

ExpertQA: Expert-Curated Questions and Attributed Answers.

Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks?

Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Pachinko: Patching Interpretable QA Models through Natural Language Feedback.

Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar

CoRR, 2023

AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference.

Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations.

Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models.

Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

Abductive Commonsense Reasoning.

Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi

Proceedings of the 8th International Conference on Learning Representations, 2020

G-DAug: Generative Data Augmentation for Commonsense Reasoning.

Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Commonsense Knowledge Base Completion with Structural and Semantic Context.

Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

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

Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion.

Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi

CoRR, 2019

A Simple Joint Model for Improved Contextual Neural Lemmatization.

Chaitanya Malaviya, Shijie Wu, Ryan Cotterell

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction.

Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Neural Factor Graph Models for Cross-lingual Morphological Tagging.

Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Sparse and Constrained Attention for Neural Machine Translation.

Chaitanya Malaviya, Pedro Ferreira, André F. T. Martins

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

DyNet: The Dynamic Neural Network Toolkit.

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

CoRR, 2017

Learning Language Representations for Typology Prediction.

Chaitanya Malaviya, Graham Neubig, Patrick Littell

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017