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Koustuv Sinha
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2020 – today
- 2024
- [c20]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: 10036-10056 - [c19]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: 5872-5883 - [i23]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 abs/2401.17464 (2024) - 2023
- [j2]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): 1161-1174 (2023) - [c18]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: 6043-6063 - [c17]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: 10914-10931 - [i22]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 abs/2311.07961 (2023) - 2022
- [c16]Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav
, Jessica Zosa Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic:
Towards Reproducible Machine Learning Research in Natural Language Processing. ACL (tutorial) 2022: 7-11 - [c15]Itay Itzhak, Koustuv Sinha, Brenden M. Lake, Adina Williams, Dieuwke Hupkes:
Evaluating locality in NMT models. CogSci 2022 - [c14]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: 1968-1984 - [c13]Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams:
The Curious Case of Absolute Position Embeddings. EMNLP (Findings) 2022: 4449-4472 - [c12]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: 3459-3461 - [i21]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 abs/2205.10762 (2022) - [i20]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 abs/2210.03050 (2022) - [i19]Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams:
The Curious Case of Absolute Position Embeddings. CoRR abs/2210.12574 (2022) - [i18]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 abs/2212.08979 (2022) - 2021
- [j1]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: 164:1-164:20 (2021) - [c11]Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams:
UnNatural Language Inference. ACL/IJCNLP (1) 2021: 7329-7346 - [c10]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: 2888-2913 - [c9]Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams:
Sometimes We Want Ungrammatical Translations. EMNLP (Findings) 2021: 3205-3227 - [i17]Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams:
Unnatural Language Inference. CoRR abs/2101.00010 (2021) - [i16]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 abs/2101.04909 (2021) - [i15]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 abs/2104.06644 (2021) - [i14]Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams:
Sometimes We Want Translationese. CoRR abs/2104.07623 (2021) - [i13]Shanya Sharma, Manan Dey
, Koustuv Sinha:
Evaluating Gender Bias in Natural Language Inference. CoRR abs/2105.05541 (2021) - 2020
- [c8]Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell:
Probing Linguistic Systematicity. ACL 2020: 1958-1969 - [c7]Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau:
Learning an Unreferenced Metric for Online Dialogue Evaluation. ACL 2020: 2430-2441 - [c6]Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal:
Measuring Systematic Generalization in Neural Proof Generation with Transformers. NeurIPS 2020 - [i12]Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton:
Evaluating Logical Generalization in Graph Neural Networks. CoRR abs/2003.06560 (2020) - [i11]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 abs/2003.12206 (2020) - [i10]Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau:
Learning an Unreferenced Metric for Online Dialogue Evaluation. CoRR abs/2005.00583 (2020) - [i9]Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell:
Probing Linguistic Systematicity. CoRR abs/2005.04315 (2020) - [i8]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 abs/2007.10546 (2020) - [i7]Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal:
Measuring Systematic Generalization in Neural Proof Generation with Transformers. CoRR abs/2009.14786 (2020) - [i6]Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat:
A Closer Look at Codistillation for Distributed Training. CoRR abs/2010.02838 (2020)
2010 – 2019
- 2019
- [c5]Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell:
Evaluating systematicity in neural networks with natural language inference. CogSci 2019: 3466 - [c4]Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton:
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. EMNLP/IJCNLP (1) 2019: 4505-4514 - [i5]Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton:
CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. CoRR abs/1908.06177 (2019) - 2018
- [c3]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: 123-129 - [c2]Koustuv Sinha, Yue Dong
, Jackie Chi Kit Cheung, Derek Ruths:
A Hierarchical Neural Attention-based Text Classifier. EMNLP 2018: 817-823 - [i4]Peter Henderson, Koustuv Sinha, Nan Rosemary Ke, Joelle Pineau:
Adversarial Gain. CoRR abs/1811.01302 (2018) - [i3]Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau:
The RLLChatbot: a solution to the ConvAI challenge. CoRR abs/1811.02714 (2018) - [i2]Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau:
Compositional Language Understanding with Text-based Relational Reasoning. CoRR abs/1811.02959 (2018) - 2017
- [c1]Andrew Piper, Mark Algee-Hewitt, Koustuv Sinha, Derek Ruths, Hardik Vala:
Studying Literary Characters and Character Networks. DH 2017 - [i1]Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau:
Ethical Challenges in Data-Driven Dialogue Systems. CoRR abs/1711.09050 (2017)
Coauthor Index
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