Chaitanya Malaviya
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
6
Active years
2017–2025
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | 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 |
| 2025 | EMNLP | LogiCoL: Logically-Informed Contrastive Learning for Set-based Dense Retrieval. | Yanzhen Shen, Sihao Chen, Xueqiang Xu, Yunyi Zhang, Chaitanya Malaviya, Dan Roth |
| 2025 | NAACL | On Reference (In-)Determinacy in Natural Language Inference. | Sihao Chen, Chaitanya Malaviya, Alex Fabrikant, Hagai Taitelbaum, Tal Schuster, Senaka Buthpitiya, Dan Roth |
| 2024 | EMNLP | AssistantBench: Can Web Agents Solve Realistic and Time-Consuming Tasks? | Ori Yoran, Samuel Joseph Amouyal, Chaitanya Malaviya, Ben Bogin, Ofir Press, Jonathan Berant |
| 2024 | NAACL | ExpertQA: Expert-Curated Questions and Attributed Answers. | Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, Dan Roth |
| 2024 | NAACL | What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception. | Chaitanya Malaviya, Subin Lee, Dan Roth, Mark Yatskar |
| 2023 | ACL | QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. | Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova |
| 2023 | EACL | AmbiCoref: Evaluating Human and Model Sensitivity to Ambiguous Coreference. | Yuewei Yuan, Chaitanya Malaviya, Mark Yatskar |
| 2022 | EMNLP | Cascading Biases: Investigating the Effect of Heuristic Annotation Strategies on Data and Models. | Chaitanya Malaviya, Sudeep Bhatia, Mark Yatskar |
| 2020 | AAAI | Commonsense Knowledge Base Completion with Structural and Semantic Context. | Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, Yejin Choi |
| 2020 | EMNLP | 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 |
| 2020 | ICLR | Abductive Commonsense Reasoning. | Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, Yejin Choi |
| 2019 | ACL | COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. | Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi |
| 2019 | NAACL | A Simple Joint Model for Improved Contextual Neural Lemmatization. | Chaitanya Malaviya, Shijie Wu, Ryan Cotterell |
| 2018 | ACL | Sparse and Constrained Attention for Neural Machine Translation. | Chaitanya Malaviya, Pedro Ferreira, Andr F. T. Martins |
| 2018 | ACL | Neural Factor Graph Models for Cross-lingual Morphological Tagging. | Chaitanya Malaviya, Matthew R. Gormley, Graham Neubig |
| 2017 | EMNLP | Learning Language Representations for Typology Prediction. | Chaitanya Malaviya, Graham Neubig, Patrick Littell |