Rakesh R. Menon

According to our database, Rakesh R. Menon authored at least 11 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers.

Kangda Wei, Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MaNtLE: Model-agnostic Natural Language Explainer.

Rakesh R. Menon, Kerem Zaman, Shashank Srivastava

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models.

Yiyuan Li, Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CoAug: Combining Augmentation of Labels and Labelling Rules.

Rakesh R. Menon, Bingqing Wang, Jun Araki, Zhengyu Zhou, Zhe Feng, Liu Ren

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

LaSQuE: Improved Zero-Shot Classification from Explanations Through Quantifier Modeling and Curriculum Learning.

Sayan Ghosh, Rakesh R. Menon, Shashank Srivastava

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations.

Rakesh R. Menon, Sayan Ghosh, Shashank Srivastava

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Improving and Simplifying Pattern Exploiting Training.

Derek Tam, Rakesh R. Menon, Mohit Bansal, Shashank Srivastava, Colin Raffel

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2018

MoA-Net: Self-supervised Motion Segmentation.

Pia Bideau, Rakesh R. Menon, Erik G. Learned-Miller

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

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

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Shared Learning : Enhancing Reinforcement in $Q$-Ensembles.

Rakesh R. Menon, Balaraman Ravindran

CoRR, 2017