Sayan Ghosh

About Sayan Ghosh

Sayan Ghosh, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of North Carolina at Chapel Hill, specializes in the field of Natural Language Processing, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models

Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture

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

Compositional Generalization for Kinship Prediction through Data Augmentation

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations

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

Sayan Ghosh Information

University

Position

___

Citations(all)

703

Citations(since 2020)

702

Cited By

24

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Sayan Ghosh Skills & Research Interests

Natural Language Processing

Machine Learning

Top articles of Sayan Ghosh

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

arXiv preprint arXiv:2311.07538

2023/11/13

Pragmatic Reasoning Unlocks Quantifier Semantics for Foundation Models

arXiv preprint arXiv:2311.04659

2023/11/8

Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture

arXiv preprint arXiv:2305.12710

2023/5/22

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

arXiv preprint arXiv:2212.09104

2022/12/18

Compositional Generalization for Kinship Prediction through Data Augmentation

2022/7

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

arXiv preprint arXiv:2206.04615

2022/6/9

CLUES: A Benchmark for Learning Classifiers using Natural Language Explanations

arXiv preprint arXiv:2204.07142

2022/4/14

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

2022/5/18

Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning

arXiv preprint arXiv:2110.00842

2021/10/2

Sayan Ghosh
Sayan Ghosh

H-Index: 4

Shashank Srivastava
Shashank Srivastava

H-Index: 0

Adversarial Scrubbing of Demographic Information for Text Classification

arXiv preprint arXiv:2109.08613

2021/9/17

ePiC: Employing Proverbs in Context as a Benchmark for Abstract Language Understanding

arXiv preprint arXiv:2109.06838

2021/9/14

Sayan Ghosh
Sayan Ghosh

H-Index: 4

Shashank Srivastava
Shashank Srivastava

H-Index: 0

Weighted color palette generation

2021/8/10

How Helpful is Inverse Reinforcement Learning for Table-to-Text Generation?

2021/8

Flow-based color transfer from source graphic to target graphic

2021/6/22

PRover: Proof Generation for Interpretable Reasoning over Rules

arXiv preprint arXiv:2010.02830

2020/10/6

Analysing the Extent of Misinformation in Cancer Related Tweets

Proceedings of the International AAAI Conference on Web and Social Media

2020/5/26

See List of Professors in Sayan Ghosh University(University of North Carolina at Chapel Hill)

Co-Authors

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