Rakesh R. Menon

According to our database1, Rakesh R. Menon authored at least 13 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
SocialGaze: Improving the Integration of Human Social Norms in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

DISCERN: Decoding Systematic Errors in Natural Language for Text Classifiers.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

DelucionQA: Detecting Hallucinations in Domain-specific Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

MaNtLE: Model-agnostic Natural Language Explainer.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

CoAug: Combining Augmentation of Labels and Labelling Rules.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Improving and Simplifying Pattern Exploiting Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2018
MoA-Net: Self-supervised Motion Segmentation.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Shared Learning : Enhancing Reinforcement in $Q$-Ensembles.
CoRR, 2017


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