Koustuv Sinha

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 45

Top Topics

Inductive Reasoning

Language Modeling

Machine Learning

Natural Language

Top Venues

EMNLP (Findings)

Publications

Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
The ART of LLM Refinement: Ask, Refine, and Trust. NAACL-HLT (2024)
David Wan, Koustuv Sinha, Srini Iyer, Asli Celikyilmaz, Mohit Bansal, Ramakanth Pasunuru
ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization. ACL (Findings) (2024)
Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang
Efficient Tool Use with Chain-of-Abstraction Reasoning. CoRR (2024)
Saeed Goodarzi, Nikhil Kagita, Dennis Minn, Shufan Wang, Roberto Dessì, Shubham Toshniwal, Adina Williams, Jack Lanchantin, Koustuv Sinha
Robustness of Named-Entity Replacements for In-Context Learning. EMNLP (Findings) (2023)
Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams
Language model acceptability judgements are not always robust to context. ACL (1) (2023)
Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
The ART of LLM Refinement: Ask, Refine, and Trust. CoRR (2023)
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
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5 (10) (2023)
Itay Itzhak, Koustuv Sinha, Brenden M. Lake, Adina Williams, Dieuwke Hupkes
Evaluating locality in NMT models. CogSci (2022)
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
State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR (2022)
Ana Lucic, Maurits J. R. Bleeker, Maarten de Rijke, Koustuv Sinha, Sami Jullien, Robert Stojnic
Towards Reproducible Machine Learning Research in Information Retrieval. SIGIR (2022)
Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams
The Curious Case of Absolute Position Embeddings. EMNLP (Findings) (2022)
Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav, Jessica Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic
Towards Reproducible Machine Learning Research in Natural Language Processing. ACL (tutorial) (2022)
Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams
Language model acceptability judgements are not always robust to context. CoRR (2022)
Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams
The Curious Case of Absolute Position Embeddings. CoRR (2022)
Shanya Sharma, Manan Dey, Koustuv Sinha
How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts. EMNLP (Findings) (2022)
Shanya Sharma, Manan Dey, Koustuv Sinha
How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts. CoRR (2022)
Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. CoRR (2021)
Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela
Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. EMNLP (1) (2021)
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
Sometimes We Want Translationese. CoRR (2021)
Shanya Sharma, Manan Dey, Koustuv Sinha
Evaluating Gender Bias in Natural Language Inference. CoRR (2021)
Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR (2021)
Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
UnNatural Language Inference. ACL/IJCNLP (1) (2021)
Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
Sometimes We Want Ungrammatical Translations. EMNLP (Findings) (2021)
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program). J. Mach. Learn. Res. 22 (2021)
Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
Unnatural Language Inference. CoRR (2021)
Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe
Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop. CoRR (2020)
Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program). CoRR (2020)
Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal
Measuring Systematic Generalization in Neural Proof Generation with Transformers. NeurIPS (2020)
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
Learning an Unreferenced Metric for Online Dialogue Evaluation. ACL (2020)
Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal
Measuring Systematic Generalization in Neural Proof Generation with Transformers. CoRR (2020)
Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell
Probing Linguistic Systematicity. CoRR (2020)
Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton
Evaluating Logical Generalization in Graph Neural Networks. CoRR (2020)
Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat
A Closer Look at Codistillation for Distributed Training. CoRR (2020)
Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell
Probing Linguistic Systematicity. ACL (2020)
Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
Learning an Unreferenced Metric for Online Dialogue Evaluation. CoRR (2020)
Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell
Evaluating systematicity in neural networks with natural language inference. CogSci (2019)
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. CoRR (2019)
Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. EMNLP/IJCNLP (1) (2019)
Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau
The RLLChatbot: a solution to the ConvAI challenge. CoRR (2018)
Peter Henderson, Koustuv Sinha, Nan Rosemary Ke, Joelle Pineau
Adversarial Gain. CoRR (2018)
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau
Ethical Challenges in Data-Driven Dialogue Systems. AIES (2018)
Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths
A Hierarchical Neural Attention-based Text Classifier. EMNLP (2018)
Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau
Compositional Language Understanding with Text-based Relational Reasoning. CoRR (2018)
Andrew Piper, Mark Algee-Hewitt, Koustuv Sinha, Derek Ruths, Hardik Vala
Studying Literary Characters and Character Networks. DH (2017)
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau
Ethical Challenges in Data-Driven Dialogue Systems. CoRR (2017)