Koustuv Sinha - RankMe

62 papers A* 6B 3C 1Journal 40Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures. CoRR Basile Terver, Randall Balestriero, Megi Dervishi, David Fan, Quentin Garrido, Tushar Nagarajan, Koustuv Sinha, Wancong Zhang, Mike Rabbat, Yann LeCun, Amir Bar
2026	J	`jnl`	Beyond Language Modeling: An Exploration of Multimodal Pretraining. CoRR Shengbang Tong, David Fan, John Nguyen, Ellis Brown, Gaoyue Zhou, Shengyi Qian, Boyang Zheng, Théophane Vallaeys, Junlin Han, Rob Fergus, Naila Murray, Marjan Ghazvininejad, Mike Lewis, Nicolas Ballas, Amir Bar, Michael Rabbat, Jakob Verbeek, Luke Zettlemoyer, Koustuv Sinha, Yann LeCun, Saining Xie
2026	J	`jnl`	Brittlebench: Quantifying LLM robustness via prompt sensitivity. CoRR Angelika Romanou, Mark Ibrahim, Candace Ross, Chantal Shaib, Kerem Okta, Samuel J. Bell, Elia Ovalle, Jesse Dodge, Antoine Bosselut, Koustuv Sinha, Adina Williams
2026	J	`jnl`	V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning. CoRR Lorenzo Mur-Labadia, Matthew J. Muckley, Amir Bar, Mido Assran, Koustuv Sinha, Mike Rabbat, Yann LeCun, Nicolas Ballas, Adrien Bardes
2025	J	`jnl`	A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs. CoRR Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mahmoud Assran
2025	J	`jnl`	A Shortcut-aware Video-QA Benchmark for Physical Understanding via Minimal Video Pairs. Trans. Mach. Learn. Res. Benno Krojer, Mojtaba Komeili, Candace Ross, Quentin Garrido, Koustuv Sinha, Nicolas Ballas, Mido Assran
2025	J	`jnl`	CausalVQA: A Physically Grounded Causal Reasoning Benchmark for Video Models. CoRR Aaron Foss, Chloe Evans, Sasha Mitts, Koustuv Sinha, Ammar Rizvi, Justine T. Kao
2025	J	`jnl`	Controlling Multimodal LLMs via Reward-guided Decoding. CoRR Oscar Mañas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal
2025	B	`conf`	Efficient Tool Use with Chain-of-Abstraction Reasoning. COLING Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang
2025	J	`jnl`	Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-training. CoRR Junlin Han, Shengbang Tong, David Fan, Yufan Ren, Koustuv Sinha, Philip Torr, Filippos Kokkinos
2025	J	`jnl`	Multi-Modal Language Models as Text-to-Image Model Evaluators. CoRR Jiahui Chen, Candace Ross, Reyhane Askari Hemmat, Koustuv Sinha, Melissa Hall, Michal Drozdzal, Adriana Romero-Soriano
2025	J	`jnl`	Position: Machine Learning Conferences Should Establish a "Refutations and Critiques" Track. CoRR Rylan Schaeffer, Joshua Kazdan, Yegor Denisov-Blanch, Brando Miranda, Matthias Gerstgrasser, Susan Zhang, Andreas Haupt, Isha Gupta, Elyas Obbad, Jesse Dodge, Jessica Zosa Forde, Koustuv Sinha, Francesco Orabona, Sanmi Koyejo, David L. Donoho
2025	J	`jnl`	Scaling Language-Free Visual Representation Learning. CoRR David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie
2025	J	`jnl`	V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning. CoRR Mido Assran, Adrien Bardes, David Fan, Quentin Garrido, Russell Howes, Mojtaba Komeili, Matthew J. Muckley, Ammar Rizvi, Claire Roberts, Koustuv Sinha, Artem Zholus, Sergio Arnaud, Abha Gejji, Ada Martin, Francois Robert Hogan, Daniel Dugas, Piotr Bojanowski, Vasil Khalidov, Patrick Labatut, Francisco Massa, Marc Szafraniec, Kapil Krishnakumar, Yong Li, Xiaodong Ma, Sarath Chandar, Franziska Meier, Yann LeCun, Michael Rabbat, Nicolas Ballas
2025	A*	`conf`	VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. ICLR Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha
2024	—	`conf`	ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization. ACL (Findings) David Wan, Koustuv Sinha, Srini Iyer, Asli Celikyilmaz, Mohit Bansal, Ramakanth Pasunuru
2024	J	`jnl`	Efficient Tool Use with Chain-of-Abstraction Reasoning. CoRR Silin Gao, Jane Dwivedi-Yu, Ping Yu, Xiaoqing Ellen Tan, Ramakanth Pasunuru, Olga Golovneva, Koustuv Sinha, Asli Celikyilmaz, Antoine Bosselut, Tianlu Wang
2024	J	`jnl`	MetaMorph: Multimodal Understanding and Generation via Instruction Tuning. CoRR Shengbang Tong, David Fan, Jiachen Zhu, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu
2024	—	`conf`	The ART of LLM Refinement: Ask, Refine, and Trust. NAACL-HLT Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
2024	J	`jnl`	VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. CoRR Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha
2023	J	`jnl`	A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 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
2023	—	`conf`	Language model acceptability judgements are not always robust to context. ACL (1) Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams
2023	—	`conf`	Robustness of Named-Entity Replacements for In-Context Learning. EMNLP (Findings) Saeed Goodarzi, Nikhil Kagita, Dennis Minn, Shufan Wang, Roberto Dessì, Shubham Toshniwal, Adina Williams, Jack Lanchantin, Koustuv Sinha
2023	J	`jnl`	The ART of LLM Refinement: Ask, Refine, and Trust. CoRR Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ram Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz
2022	B	`conf`	Evaluating locality in NMT models. CogSci Itay Itzhak, Koustuv Sinha, Brenden M. Lake, Adina Williams, Dieuwke Hupkes
2022	—	`conf`	How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts. EMNLP (Findings) Shanya Sharma, Manan Dey, Koustuv Sinha
2022	J	`jnl`	How sensitive are translation systems to extra contexts? Mitigating gender bias in Neural Machine Translation models through relevant contexts. CoRR Shanya Sharma, Manan Dey, Koustuv Sinha
2022	J	`jnl`	Language model acceptability judgements are not always robust to context. CoRR Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams
2022	J	`jnl`	State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR 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
2022	—	`conf`	The Curious Case of Absolute Position Embeddings. EMNLP (Findings) Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams
2022	J	`jnl`	The Curious Case of Absolute Position Embeddings. CoRR Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams
2022	A*	`conf`	Towards Reproducible Machine Learning Research in Information Retrieval. SIGIR Ana Lucic, Maurits J. R. Bleeker, Maarten de Rijke, Koustuv Sinha, Sami Jullien, Robert Stojnic
2022	—	`conf`	Towards Reproducible Machine Learning Research in Natural Language Processing. ACL (tutorial) Ana Lucic, Maurits J. R. Bleeker, Samarth Bhargav, Jessica Zosa Forde, Koustuv Sinha, Jesse Dodge, Sasha Luccioni, Robert Stojnic
2021	J	`jnl`	COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction. CoRR Anuroop Sriram, Matthew J. Muckley, Koustuv Sinha, Farah Shamout, Joelle Pineau, Krzysztof J. Geras, Lea Azour, Yindalon Aphinyanaphongs, Nafissa Yakubova, William Moore
2021	J	`jnl`	Evaluating Gender Bias in Natural Language Inference. CoRR Shanya Sharma, Manan Dey, Koustuv Sinha
2021	J	`jnl`	Improving Reproducibility in Machine Learning Research(A Report from the NeurIPS 2019 Reproducibility Program). J. Mach. Learn. Res. Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
2021	—	`conf`	Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. EMNLP (1) Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela
2021	J	`jnl`	Masked Language Modeling and the Distributional Hypothesis: Order Word Matters Pre-training for Little. CoRR Koustuv Sinha, Robin Jia, Dieuwke Hupkes, Joelle Pineau, Adina Williams, Douwe Kiela
2021	J	`jnl`	Sometimes We Want Translationese. CoRR Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
2021	—	`conf`	Sometimes We Want Ungrammatical Translations. EMNLP (Findings) Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams
2021	—	`conf`	UnNatural Language Inference. ACL/IJCNLP (1) Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
2021	J	`jnl`	Unnatural Language Inference. CoRR Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams
2020	J	`jnl`	A Closer Look at Codistillation for Distributed Training. CoRR Shagun Sodhani, Olivier Delalleau, Mahmoud Assran, Koustuv Sinha, Nicolas Ballas, Michael G. Rabbat
2020	J	`jnl`	Evaluating Logical Generalization in Graph Neural Networks. CoRR Koustuv Sinha, Shagun Sodhani, Joelle Pineau, William L. Hamilton
2020	J	`jnl`	Ideas for Improving the Field of Machine Learning: Summarizing Discussion from the NeurIPS 2019 Retrospectives Workshop. CoRR Shagun Sodhani, Mayoore S. Jaiswal, Lauren Baker, Koustuv Sinha, Carl Shneider, Peter Henderson, Joel Lehman, Ryan Lowe
2020	J	`jnl`	Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program). CoRR Joelle Pineau, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d'Alché-Buc, Emily B. Fox, Hugo Larochelle
2020	A*	`conf`	Learning an Unreferenced Metric for Online Dialogue Evaluation. ACL Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
2020	J	`jnl`	Learning an Unreferenced Metric for Online Dialogue Evaluation. CoRR Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau
2020	A*	`conf`	Measuring Systematic Generalization in Neural Proof Generation with Transformers. NeurIPS Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal
2020	J	`jnl`	Measuring Systematic Generalization in Neural Proof Generation with Transformers. CoRR Nicolas Gontier, Koustuv Sinha, Siva Reddy, Christopher Pal
2020	A*	`conf`	Probing Linguistic Systematicity. ACL Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell
2020	J	`jnl`	Probing Linguistic Systematicity. CoRR Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell
2019	—	`conf`	CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. EMNLP/IJCNLP (1) Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton
2019	J	`jnl`	CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. CoRR Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton
2019	B	`conf`	Evaluating systematicity in neural networks with natural language inference. CogSci Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell
2018	A*	`conf`	A Hierarchical Neural Attention-based Text Classifier. EMNLP Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths
2018	J	`jnl`	Adversarial Gain. CoRR Peter Henderson, Koustuv Sinha, Nan Rosemary Ke, Joelle Pineau
2018	J	`jnl`	Compositional Language Understanding with Text-based Relational Reasoning. CoRR Koustuv Sinha, Shagun Sodhani, William L. Hamilton, Joelle Pineau
2018	C	`conf`	Ethical Challenges in Data-Driven Dialogue Systems. AIES Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau
2018	J	`jnl`	The RLLChatbot: a solution to the ConvAI challenge. CoRR Nicolas Gontier, Koustuv Sinha, Peter Henderson, Iulian Serban, Michael Noseworthy, Prasanna Parthasarathi, Joelle Pineau
2017	J	`jnl`	Ethical Challenges in Data-Driven Dialogue Systems. CoRR Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau
2017	—	`conf`	Studying Literary Characters and Character Networks. DH Andrew Piper, Mark Algee-Hewitt, Koustuv Sinha, Derek Ruths, Hardik Vala