Koustuv Sinha
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
9
Active years
2018–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLING | 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 |
| 2025 | ICCV | Scaling Language-Free Visual Representation Learning. | David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie |
| 2025 | ICCV | Controlling Multimodal Llms Via Reward-Guided Decoding. | Oscar Maas, Pierluca D'Oro, Koustuv Sinha, Adriana Romero-Soriano, Michal Drozdzal, Aishwarya Agrawal |
| 2025 | ICCV | MetaMorph: Multimodal Understanding and Generation via Instruction Tuning. | Shengbang Tong, David Fan, Jiachen Zhu, Yunyang Xiong, Xinlei Chen, Koustuv Sinha, Michael Rabbat, Yann LeCun, Saining Xie, Zhuang Liu |
| 2025 | ICLR | VEDIT: Latent Prediction Architecture For Procedural Video Representation Learning. | Han Lin, Tushar Nagarajan, Nicolas Ballas, Mido Assran, Mojtaba Komeili, Mohit Bansal, Koustuv Sinha |
| 2024 | ACL | ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization. | David Wan, Koustuv Sinha, Srini Iyer, Asli Celikyilmaz, Mohit Bansal, Ramakanth Pasunuru |
| 2024 | NAACL | The ART of LLM Refinement: Ask, Refine, and Trust. | Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason Weston, Asli Celikyilmaz |
| 2023 | ACL | Language model acceptability judgements are not always robust to context. | Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams |
| 2023 | EMNLP | Robustness of Named-Entity Replacements for In-Context Learning. | Saeed Goodarzi, Nikhil Kagita, Dennis Minn, Shufan Wang, Roberto Dess, Shubham Toshniwal, Adina Williams, Jack Lanchantin, Koustuv Sinha |
| 2022 | ACL | 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 |
| 2022 | CogSci | Evaluating locality in NMT models. | Itay Itzhak, Koustuv Sinha, Brenden M. Lake, Adina Williams, Dieuwke Hupkes |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | The Curious Case of Absolute Position Embeddings. | Koustuv Sinha, Amirhossein Kazemnejad, Siva Reddy, Joelle Pineau, Dieuwke Hupkes, Adina Williams |
| 2022 | SIGIR | Towards Reproducible Machine Learning Research in Information Retrieval. | Ana Lucic, Maurits J. R. Bleeker, Maarten de Rijke, Koustuv Sinha, Sami Jullien, Robert Stojnic |
| 2021 | ACL | UnNatural Language Inference. | Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, Adina Williams |
| 2021 | EMNLP | Sometimes We Want Ungrammatical Translations. | Prasanna Parthasarathi, Koustuv Sinha, Joelle Pineau, Adina Williams |
| 2021 | EMNLP | 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 |
| 2020 | ACL | Probing Linguistic Systematicity. | Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell |
| 2020 | ACL | Learning an Unreferenced Metric for Online Dialogue Evaluation. | Koustuv Sinha, Prasanna Parthasarathi, Jasmine Wang, Ryan Lowe, William L. Hamilton, Joelle Pineau |
| 2019 | CogSci | Evaluating systematicity in neural networks with natural language inference. | Emily Goodwin, Koustuv Sinha, Timothy J. O'Donnell |
| 2019 | EMNLP | CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text. | Koustuv Sinha, Shagun Sodhani, Jin Dong, Joelle Pineau, William L. Hamilton |
| 2018 | AIES | Ethical Challenges in Data-Driven Dialogue Systems. | Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, Joelle Pineau |
| 2018 | EMNLP | A Hierarchical Neural Attention-based Text Classifier. | Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths |