Koustuv Sinha

According to our database, Koustuv Sinha authored at least 32 papers between 2017 and 2024.

Collaborative distances:

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

2024

Efficient Tool Use with Chain-of-Abstraction Reasoning.

Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang

CoRR, 2024

2023

A taxonomy and review of generalization research in NLP.

Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos E. Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

Nat. Mac. Intell., October, 2023

The ART of LLM Refinement: Ask, Refine, and Trust.

Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz

CoRR, 2023

Robustness of Named-Entity Replacements for In-Context Learning.

Saeed Goodarzi, Nikhil Kagita, Dennis Minn, Shufan Wang, Roberto Dessì, Shubham Toshniwal, Adina Williams, Jack Lanchantin, Koustuv Sinha

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

Language model acceptability judgements are not always robust to context.

Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams

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

2022

State-of-the-art generalisation research in NLP: a taxonomy and review.

Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin

CoRR, 2022

Towards Reproducible Machine Learning Research in Information Retrieval.

Ana Lucic, Maurits J. R. Bleeker, Maarten de Rijke, Koustuv Sinha, Sami Jullien, Robert Stojnic

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

The Curious Case of Absolute Position Embeddings.

Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts.

Shanya Sharma, Manan Dey, Koustuv Sinha

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Evaluating locality in NMT models.

Itay Itzhak, Koustuv Sinha, Brenden M. Lake, Adina Williams, Dieuwke Hupkes

Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022

Towards Reproducible Machine Learning Research in Natural Language Processing.

Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav, Jessica Zosa Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program).

Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle

J. Mach. Learn. Res., 2021

Evaluating Gender Bias in Natural Language Inference.

Shanya Sharma, Manan Dey, Koustuv Sinha

CoRR, 2021

Sometimes We Want Translationese.

Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams

CoRR, 2021

COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction.

Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore

CoRR, 2021

Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little.

Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Sometimes We Want Ungrammatical Translations.

Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

UnNatural Language Inference.

Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

A Closer Look at Codistillation for Distributed Training.

Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat

CoRR, 2020

Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop.

Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe

CoRR, 2020

Evaluating Logical Generalization in Graph Neural Networks.

Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton

CoRR, 2020

Measuring Systematic Generalization in Neural Proof Generation with Transformers.

Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning an Unreferenced Metric for Online Dialogue Evaluation.

Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Probing Linguistic Systematicity.

Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text.

Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Evaluating systematicity in neural networks with natural language inference.

Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Compositional Language Understanding with Text-based Relational Reasoning.

Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau

CoRR, 2018

The RLLChatbot: a solution to the ConvAI challenge.

Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael D. Noseworthy, Prasanna Parthasarathi, Joelle Pineau

CoRR, 2018

Adversarial Gain.

Peter Henderson, Koustuv Sinha, Nan Rosemary Ke, Joelle Pineau

CoRR, 2018

A Hierarchical Neural Attention-based Text Classifier.

Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Ethical Challenges in Data-Driven Dialogue Systems.

Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017

Studying Literary Characters and Character Networks.

Andrew Piper, Mark Algee-Hewitt, Koustuv Sinha, Derek Ruths, Hardik Vala

Proceedings of the 12th Annual International Conference of the Alliance of Digital Humanities Organizations, 2017