Tuhin Chakrabarty

According to our database, Tuhin Chakrabarty authored at least 39 papers between 2018 and 2024.

Collaborative distances:

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

2024

Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits.

Tuhin Chakrabarty, Philippe Laban, Chien-Sheng Wu

CoRR, 2024

V-FLUTE: Visual Figurative Language Understanding with Textual Explanations.

Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, Smaranda Muresan

CoRR, 2024

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

Chenghao Yang, Tuhin Chakrabarty, Karli R. Hochstatter, Melissa N. Slavin, Nabila El-Bassel, Smaranda Muresan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game.

Prisha Samadarshi, Mariam Mustafa, Anushka Kulkarni, Raven Rothkopf, Tuhin Chakrabarty, Smaranda Muresan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers.

Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan

Proceedings of the 16th Conference on Creativity & Cognition, 2024

2023

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers.

Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan

CoRR, 2023

Learning to Follow Object-Centric Image Editing Instructions Faithfully.

Tuhin Chakrabarty, Kanishk Singh, Arkadiy Saakyan, Smaranda Muresan

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

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

Yi Fung, Tuhin Chakrabarty, Hao Guo, Owen Rambow, Smaranda Muresan, Heng Ji

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

I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors.

Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan

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

2022

It's not Rocket Science: Interpreting Figurative Language in Narratives.

Tuhin Chakrabarty, Yejin Choi, Vered Shwartz

Trans. Assoc. Comput. Linguistics, 2022

FLUTE: Figurative Language Understanding and Textual Explanations.

Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, Smaranda Muresan

CoRR, 2022

Continual-T0: Progressively Instructing 50+ Tasks to Language Models Without Forgetting.

Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan

CoRR, 2022

Fine-tuned Language Models are Continual Learners.

Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FLUTE: Figurative Language Understanding through Textual Explanations.

Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, Smaranda Muresan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing.

Tuhin Chakrabarty, Vishakh Padmakumar, He He

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CONSISTENT: Open-Ended Question Generation From News Articles.

Tuhin Chakrabarty, Justin Lewis, Smaranda Muresan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multitask Instruction-based Prompting for Fallacy Recognition.

Tariq Alhindi, Tuhin Chakrabarty, Elena Musi, Smaranda Muresan

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

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

Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations, 2021

MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding.

Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan, Nanyun Peng

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

ENTRUST: Argument Reframing with Language Models and Entailment.

Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models.

Tuhin Chakrabarty, Aadit Trivedi, Smaranda Muresan

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

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

Tuhin Chakrabarty, Arkadiy Saakyan, Smaranda Muresan

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

Metaphor Generation with Conceptual Mappings.

Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

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

Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Figurative Language in Recognizing Textual Entailment.

Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Identifying Distributional Perspectives from Colingual Groups.

Yufei Tian, Tuhin Chakrabarty, Fred Morstatter, Nanyun Peng

Proceedings of the Ninth International Workshop on Natural Language Processing for Social Media, 2021

2020

Generating similes like a Pro: A Style Transfer Approach for Simile Generation.

Tuhin Chakrabarty, Smaranda Muresan, Nanyun Peng

CoRR, 2020

Identifying Cultural Differences through Multi-Lingual Wikipedia.

Yufei Tian, Tuhin Chakrabarty, Fred Morstatter, Nanyun Peng

CoRR, 2020

Content Planning for Neural Story Generation with Aristotelian Rescoring.

Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph M. Weischedel, Nanyun Peng

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation.

Tuhin Chakrabarty, Smaranda Muresan, Nanyun Peng

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking.

Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona T. Diab, Smaranda Muresan

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge.

Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, Nanyun Peng

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks.

Siddharth Varia, Christopher Hidey, Tuhin Chakrabarty

Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue, 2019

ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning.

Tuhin Chakrabarty, Smaranda Muresan

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

IMHO Fine-Tuning Improves Claim Detection.

Tuhin Chakrabarty, Christopher Hidey, Kathy McKeown

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

AMPERSAND: Argument Mining for PERSuAsive oNline Discussions.

Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Context-Aware Attention for Understanding Twitter Abuse.

Tuhin Chakrabarty, Kilol Gupta

CoRR, 2018

Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.

Tuhin Chakrabarty, Tariq Alhindi, Smaranda Muresan

Proceedings of the First Workshop on Fact Extraction and VERification, 2018