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Chaitanya Malaviya
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2020 – today
- 2024
- [c14]Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant:
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? EMNLP 2024: 8938-8968 - [c13]Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth:
ExpertQA: Expert-Curated Questions and Attributed Answers. NAACL-HLT 2024: 3025-3045 - [c12]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: 3046-3065 - [i18]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 abs/2402.13904 (2024) - [i17]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 abs/2405.05938 (2024) - [i16]Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant:
AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? CoRR abs/2407.15711 (2024) - 2023
- [c11]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: 14032-14047 - [c10]Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar:
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference. EACL (Findings) 2023: 993-1000 - [i15]Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar:
AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference. CoRR abs/2302.00762 (2023) - [i14]Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. CoRR abs/2305.11694 (2023) - [i13]Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth:
ExpertQA: Expert-Curated Questions and Attributed Answers. CoRR abs/2309.07852 (2023) - [i12]Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar:
Pachinko: Patching Interpretable QA Models through Natural Language Feedback. CoRR abs/2311.09558 (2023) - 2022
- [c9]Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar:
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models. EMNLP 2022: 6525-6540 - [i11]Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar:
Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models. CoRR abs/2210.13439 (2022) - 2020
- [c8]Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi:
Commonsense Knowledge Base Completion with Structural and Semantic Context. AAAI 2020: 2925-2933 - [c7]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: 1008-1025 - [c6]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 - [i10]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 abs/2004.11546 (2020)
2010 – 2019
- 2019
- [c5]Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi:
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. ACL (1) 2019: 4762-4779 - [c4]Chaitanya Malaviya, Shijie Wu, Ryan Cotterell:
A Simple Joint Model for Improved Contextual Neural Lemmatization. NAACL-HLT (1) 2019: 1517-1528 - [i9]Chaitanya Malaviya, Shijie Wu, Ryan Cotterell:
A Simple Joint Model for Improved Contextual Neural Lemmatization. CoRR abs/1904.02306 (2019) - [i8]Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi:
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. CoRR abs/1906.05317 (2019) - [i7]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 abs/1908.05739 (2019) - [i6]Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi:
Exploiting Structural and Semantic Context for Commonsense Knowledge Base Completion. CoRR abs/1910.02915 (2019) - [i5]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 abs/1910.11493 (2019) - 2018
- [c3]Chaitanya Malaviya, Pedro Ferreira, André F. T. Martins:
Sparse and Constrained Attention for Neural Machine Translation. ACL (2) 2018: 370-376 - [c2]Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig:
Neural Factor Graph Models for Cross-lingual Morphological Tagging. ACL (1) 2018: 2653-2663 - [i4]Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig:
Neural Factor Graph Models for Cross-lingual Morphological Tagging. CoRR abs/1805.04570 (2018) - [i3]Chaitanya Malaviya, Pedro Ferreira, André F. T. Martins:
Sparse and Constrained Attention for Neural Machine Translation. CoRR abs/1805.08241 (2018) - 2017
- [c1]Chaitanya Malaviya, Graham Neubig, Patrick Littell:
Learning Language Representations for Typology Prediction. EMNLP 2017: 2529-2535 - [i2]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 abs/1701.03980 (2017) - [i1]Chaitanya Malaviya, Graham Neubig, Patrick Littell:
Learning Language Representations for Typology Prediction. CoRR abs/1707.09569 (2017)
Coauthor Index
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