Rakesh R. Menon

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Natural Language

Top Venues

Publications

Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava
Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models. CoRR (2023)
Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers. CoRR (2023)
Rakesh R. Menon, Bingqing Wang, Jun Araki, Zhengyu Zhou, Zhe Feng, Liu Ren
CoAug: Combining Augmentation of Labels and Labelling Rules. ACL (Findings) (2023)
Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava
Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models. EMNLP (2023)
Rakesh R. Menon, Kerem Zaman, Shashank Srivastava
MaNtLE: Model-agnostic Natural Language Explainer. CoRR (2023)
Mobashir Sadat, Zhengyu Zhou, Lukas Lange, Jun Araki, Arsalan Gundroo, Bingqing Wang, Rakesh R. Menon, Md. Rizwan Parvez, Zhe Feng
DelucionQA: Detecting Hallucinations in Domain-specific Question Answering. CoRR (2023)
Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. ACL (Findings) (2023)
Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. CoRR (2022)
Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava
LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning. CoRR (2022)
Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations. ACL (1) (2022)
Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel
Improving and Simplifying Pattern Exploiting Training. EMNLP (1) (2021)
Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel
Improving and Simplifying Pattern Exploiting Training. CoRR (2021)
Pia Bideau, Rakesh R. Menon, Erik G. Learned-Miller
MoA-Net: Self-supervised Motion Segmentation. ECCV Workshops (6) (2018)
Pia Bideau, Aruni RoyChowdhury, Rakesh R. Menon, Erik G. Learned-Miller
The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation. CVPR (2018)
Rakesh R. Menon, Balaraman Ravindran
Shared Learning : Enhancing Reinforcement in $Q$-Ensembles. CoRR (2017)