Chaitanya Malaviya

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 31

Top Topics

Asked Questions

Machine Translation

Natural Language

Top Venues

Publications

Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception. NAACL-HLT (2024)
Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? CoRR (2024)
Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti
DOLOMITES: Domain-Specific Long-Form Methodical Tasks. CoRR (2024)
Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth
ExpertQA: Expert-Curated Questions and Attributed Answers. NAACL-HLT (2024)
Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch
Calibrating Large Language Models with Sample Consistency. CoRR (2024)
Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference. CoRR (2023)
Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. CoRR (2023)
Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth
ExpertQA: Expert-Curated Questions and Attributed Answers. CoRR (2023)
Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar
Pachinko: Patching Interpretable QA Models through Natural Language Feedback. CoRR (2023)
Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference. EACL (Findings) (2023)
Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. ACL (1) (2023)
Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models. CoRR (2022)
Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models. EMNLP (2022)
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi
Commonsense Knowledge Base Completion with Structural and Semantic Context. AAAI (2020)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
G-DAug: Generative Data Augmentation for Commonsense Reasoning. EMNLP (Findings) (2020)
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi
Abductive Commonsense Reasoning. ICLR (2020)
Yiben Yang, Chaitanya Malaviya, Jared Fernandez, Swabha Swayamdipta, Ronan Le Bras, Ji-Ping Wang, Chandra Bhagavatula, Yejin Choi, Doug Downey
G-DAUG: Generative Data Augmentation for Commonsense Reasoning. CoRR (2020)
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
The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection. CoRR (2019)
Chaitanya Malaviya, Shijie Wu, Ryan Cotterell
A Simple Joint Model for Improved Contextual Neural Lemmatization. NAACL-HLT (1) (2019)
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. CoRR (2019)
Chaitanya Malaviya, Shijie Wu, Ryan Cotterell
A Simple Joint Model for Improved Contextual Neural Lemmatization. CoRR (2019)
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Scott Wen-tau Yih, Yejin Choi
Abductive Commonsense Reasoning. CoRR (2019)
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi
Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion. CoRR (2019)
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. ACL (1) (2019)
Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig
Neural Factor Graph Models for Cross-lingual Morphological Tagging. CoRR (2018)
Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig
Neural Factor Graph Models for Cross-lingual Morphological Tagging. ACL (1) (2018)
Chaitanya Malaviya, Pedro Ferreira, André F. T. Martins
Sparse and Constrained Attention for Neural Machine Translation. ACL (2) (2018)
Chaitanya Malaviya, Pedro Ferreira, André F. T. Martins
Sparse and Constrained Attention for Neural Machine Translation. CoRR (2018)
Chaitanya Malaviya, Graham Neubig, Patrick Littell
Learning Language Representations for Typology Prediction. CoRR (2017)
Chaitanya Malaviya, Graham Neubig, Patrick Littell
Learning Language Representations for Typology Prediction. EMNLP (2017)
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
DyNet: The Dynamic Neural Network Toolkit. CoRR (2017)