Tuhin Chakrabarty

About Tuhin Chakrabarty

Tuhin Chakrabarty, With an exceptional h-index of 18 and a recent h-index of 18 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Natural Language Processing, Human AI Collaboration, Machine Learning, Commonsense Reasoning, Computational Creativity.

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

I spy a metaphor: Large language models and diffusion models co-create visual metaphors

Creative Natural Language Generation

Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts

Learning to Follow Object-Centric Image Editing Instructions Faithfully

Art or Artifice? Large Language Models and the False Promise of Creativity

Creativity support in the age of large language models: An empirical study involving emerging writers

NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly

FLUTE: Figurative Language Understanding through Textual Explanations

Tuhin Chakrabarty Information

University

Position

Department of Computer Science

Citations(all)

941

Citations(since 2020)

940

Cited By

99

hIndex(all)

18

hIndex(since 2020)

18

i10Index(all)

23

i10Index(since 2020)

23

Email

University Profile Page

Google Scholar

Tuhin Chakrabarty Skills & Research Interests

Natural Language Processing

Human AI Collaboration

Machine Learning

Commonsense Reasoning

Computational Creativity

Top articles of Tuhin Chakrabarty

Title

Journal

Author(s)

Publication Date

I spy a metaphor: Large language models and diffusion models co-create visual metaphors

arXiv preprint arXiv:2305.14724

Tuhin Chakrabarty

Arkadiy Saakyan

Olivia Winn

Artemis Panagopoulou

Yue Yang

...

2023/5/24

Creative Natural Language Generation

Tuhin Chakrabarty

Vishakh Padmakumar

He He

Nanyun Peng

2023/12

Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts

arXiv preprint arXiv:2311.09066

Chenghao Yang

Tuhin Chakrabarty

Karli R Hochstatter

Melissa N Slavin

Nabila El-Bassel

...

2023/11/15

Learning to Follow Object-Centric Image Editing Instructions Faithfully

arXiv preprint arXiv:2310.19145

Tuhin Chakrabarty

Kanishk Singh

Arkadiy Saakyan

Smaranda Muresan

2023/10/29

Art or Artifice? Large Language Models and the False Promise of Creativity

arXiv preprint arXiv:2309.14556

Tuhin Chakrabarty

Philippe Laban

Divyansh Agarwal

Smaranda Muresan

Chien-Sheng Wu

2023/9/25

Creativity support in the age of large language models: An empirical study involving emerging writers

16th ACM Conference on Creativity & Cognition

Tuhin Chakrabarty

Vishakh Padmakumar

Faeze Brahman

Smaranda Muresan

2023/9/22

NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly

arXiv preprint arXiv:2210.08604

Yi R Fung

Tuhin Chakraborty

Hao Guo

Owen Rambow

Smaranda Muresan

...

2022/10/16

FLUTE: Figurative Language Understanding through Textual Explanations

EMNLP 2022

Tuhin Chakrabarty

Arkadiy Saakyan

Debanjan Ghosh

Smaranda Muresan

2022/5/24

Proceedings of the 3rd Workshop on Figurative Language Processing (FLP)

Debanjan Ghosh

Beata Beigman Klebanov

Smaranda Muresan

Anna Feldman

Soujanya Poria

...

2022/12

Fine-tuned Language Models are Continual Learners

EMNLP 2022

Thomas Scialom

Tuhin Chakrabarty

Smaranda Muresan

2022/5/24

A report on the FigLang 2022 shared task on understanding figurative language

Arkadiy Saakyan

Tuhin Chakrabarty

Debanjan Ghosh

Smaranda Muresan

2022/12

It’s not Rocket Science: Interpreting Figurative Language in Narratives

Transactions of the Association for Computational Linguistics

Tuhin Chakrabarty

Yejin Choi

Vered Shwartz

2022/5/16

Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing

EMNLP 2022

Tuhin Chakrabarty

Vishakh Padmakumar

He He

2022/10/25

CONSISTENT: Open-Ended Question Generation From News Articles

EMNLP 2022

Tuhin Chakrabarty

Justin Lewis

Smaranda Muresan

2022/10/20

Don't Go Far Off: An Empirical Study on Neural Poetry Translation

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

Tuhin Chakrabarty

Arkadiy Saakyan

Smaranda Muresan

2021/9/7

ENTRUST: Argument Reframing with Language Models and Entailment

2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

Tuhin Chakrabarty

Christopher Hidey

Smaranda Muresan

2021/3/11

COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics

Arkadiy Saakyan

Tuhin Chakrabarty

Smaranda Muresan

2021/6/7

MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding

2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)

Tuhin Chakrabarty

Xurui Zhang

Smaranda Muresan

Nanyun Peng

2021/3/11

Metaphor Generation with Conceptual Mappings

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics

Kevin Stowe

Tuhin Chakrabarty

Nanyun Peng

Smaranda Muresan

Iryna Gurevych

2021/6/2

DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation

arXiv preprint arXiv:2102.02191

Sarik Ghazarian

Zixi Liu

Tuhin Chakrabarty

Xuezhe Ma

Aram Galstyan

...

2021/2/3

See List of Professors in Tuhin Chakrabarty University(Columbia University in the City of New York)

Co-Authors

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