| 2025 | ACL | INTERACT: Enabling Interactive, Question-Driven Learning in Large Language Models. | Aum Kendapadi, Kerem Zaman, Rakesh R. Menon, Shashank Srivastava |
| 2025 | EMNLP | Explaining Differences Between Model Pairs in Natural Language through Sample Learning. | Advaith Malladi, Rakesh R. Menon, Yuvraj Jain, Shashank Srivastava |
| 2024 | EMNLP | DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers. | Rakesh R. Menon, Shashank Srivastava |
| 2024 | EMNLP | SocialGaze: Improving the Integration of Human Social Norms in Large Language Models. | Anvesh Rao Vijjini, Rakesh R. Menon, Jiayi Fu, Shashank Srivastava, Snigdha Chaturvedi |
| 2023 | ACL | LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. | Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava |
| 2023 | ACL | CoAug: Combining Augmentation of Labels and Labelling Rules. | Rakesh R. Menon, Bingqing Wang, Jun Araki, Zhengyu Zhou, Zhe Feng, Liu Ren |
| 2023 | EMNLP | Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models. | Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava |
| 2023 | EMNLP | MaNtLE: Model-agnostic Natural Language Explainer. | Rakesh R. Menon, Kerem Zaman, Shashank Srivastava |
| 2023 | EMNLP | DelucionQA: Detecting Hallucinations in Domain-specific Question Answering. | Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R. Menon, Md. Rizwan Parvez, Zhe Feng |
| 2023 | EMNLP | Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers. | Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava |
| 2022 | ACL | CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. | Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava |
| 2021 | EMNLP | Improving and Simplifying Pattern Exploiting Training. | Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel |
| 2018 | CVPR | The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation. | Pia Bideau, Aruni RoyChowdhury, Rakesh R. Menon, Erik G. Learned-Miller |
| 2018 | ECCV | MoA-Net: Self-supervised Motion Segmentation. | Pia Bideau, Rakesh R. Menon, Erik G. Learned-Miller |