Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification. - Tuhin Chakrabarty; Tariq Alhindi; Smaranda Muresan (FEVER@EMNLP, 2018)

Context-Aware Attention for Understanding Twitter Abuse. - Tuhin Chakrabarty; Kilol Gupta (CoRR, 2018)

AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. - Tuhin Chakrabarty; Christopher Hidey; Smaranda Muresan; Kathy McKeown; Alyssa Hwang (EMNLP/IJCNLP (1), 2019)

IMHO Fine-Tuning Improves Claim Detection. - Tuhin Chakrabarty; Christopher Hidey; Kathy McKeown (NAACL-HLT (1), 2019)

ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning. - Tuhin Chakrabarty; Smaranda Muresan (SemEval@NAACL-HLT, 2019)

Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks. - Siddharth Varia; Christopher Hidey; Tuhin Chakrabarty (SIGdial, 2019)

R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge. - Tuhin Chakrabarty; Debanjan Ghosh; Smaranda Muresan; Nanyun Peng 001 (ACL, 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 (ACL, 2020)

Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation. - Tuhin Chakrabarty; Smaranda Muresan; Nanyun Peng 001 (EMNLP (1), 2020)

Content Planning for Neural Story Generation with Aristotelian Rescoring. - Seraphina Goldfarb-Tarrant; Tuhin Chakrabarty; Ralph M. Weischedel; Nanyun Peng 001 (EMNLP (1), 2020)

Identifying Cultural Differences through Multi-Lingual Wikipedia. - Yufei Tian; Tuhin Chakrabarty; Fred Morstatter; Nanyun Peng 001 (CoRR, 2020)

Generating similes like a Pro: A Style Transfer Approach for Simile Generation. - Tuhin Chakrabarty; Smaranda Muresan; Nanyun Peng 001 (CoRR, 2020)

Identifying Distributional Perspectives from Colingual Groups. - Yufei Tian; Tuhin Chakrabarty; Fred Morstatter; Nanyun Peng 001 (SocialNLP@NAACL, 2021)

Figurative Language in Recognizing Textual Entailment. - Tuhin Chakrabarty; Debanjan Ghosh; Adam Poliak; Smaranda Muresan (ACL/IJCNLP (Findings), 2021)

COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic. - Arkadiy Saakyan; Tuhin Chakrabarty; Smaranda Muresan (ACL/IJCNLP (1), 2021)

Metaphor Generation with Conceptual Mappings. - Kevin Stowe; Tuhin Chakrabarty; Nanyun Peng 001; Smaranda Muresan; Iryna Gurevych (ACL/IJCNLP (1), 2021)

Don't Go Far Off: An Empirical Study on Neural Poetry Translation. - Tuhin Chakrabarty; Arkadiy Saakyan; Smaranda Muresan (EMNLP (1), 2021)

Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models. - Tuhin Chakrabarty; Aadit Trivedi; Smaranda Muresan (EMNLP (1), 2021)

ENTRUST: Argument Reframing with Language Models and Entailment. - Tuhin Chakrabarty; Christopher Hidey; Smaranda Muresan (NAACL-HLT, 2021)

MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding. - Tuhin Chakrabarty; Xurui Zhang; Smaranda Muresan; Nanyun Peng 001 (NAACL-HLT, 2021)

DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. - Sarik Ghazarian; Zixi Liu; Tuhin Chakrabarty; Xuezhe Ma; Aram Galstyan; Nanyun Peng 001 (NAACL-HLT (Demonstrations), 2021)

Multitask Instruction-based Prompting for Fallacy Recognition. - Tariq Alhindi; Tuhin Chakrabarty; Elena Musi; Smaranda Muresan (EMNLP, 2022)

CONSISTENT: Open-Ended Question Generation From News Articles. - Tuhin Chakrabarty; Justin Lewis; Smaranda Muresan (EMNLP (Findings), 2022)

Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing. - Tuhin Chakrabarty; Vishakh Padmakumar; He He 001 (EMNLP, 2022)

FLUTE: Figurative Language Understanding through Textual Explanations. - Tuhin Chakrabarty; Arkadiy Saakyan; Debanjan Ghosh; Smaranda Muresan (EMNLP, 2022)

Fine-tuned Language Models are Continual Learners. - Thomas Scialom; Tuhin Chakrabarty; Smaranda Muresan (EMNLP, 2022)

Continual-T0: Progressively Instructing 50+ Tasks to Language Models Without Forgetting. - Thomas Scialom; Tuhin Chakrabarty; Smaranda Muresan (CoRR, 2022)

FLUTE: Figurative Language Understanding and Textual Explanations. - Tuhin Chakrabarty; Arkadiy Saakyan; Debanjan Ghosh; Smaranda Muresan (CoRR, 2022)

It's not Rocket Science: Interpreting Figurative Language in Narratives. - Tuhin Chakrabarty; Yejin Choi 001; Vered Shwartz (Trans. Assoc. Comput. Linguistics, 2022)

I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors. - Tuhin Chakrabarty; Arkadiy Saakyan; Olivia Winn; Artemis Panagopoulou; Yue Yang 006; Marianna Apidianaki; Smaranda Muresan (ACL (Findings), 2023)

NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly. - Yi Fung 001; Tuhin Chakrabarty; Hao Guo; Owen Rambow; Smaranda Muresan; Heng Ji 001 (EMNLP, 2023)

Learning to Follow Object-Centric Image Editing Instructions Faithfully. - Tuhin Chakrabarty; Kanishk Singh; Arkadiy Saakyan; Smaranda Muresan (EMNLP (Findings), 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)

Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers. - Tuhin Chakrabarty; Vishakh Padmakumar; Faeze Brahman; Smaranda Muresan (Creativity & Cognition, 2024)

Art or Artifice? Large Language Models and the False Promise of Creativity. - Tuhin Chakrabarty; Philippe Laban; Divyansh Agarwal; Smaranda Muresan; Chien-Sheng Wu (CHI, 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 (EMNLP, 2024)

Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts. - Chenghao Yang 001; Tuhin Chakrabarty; Karli R. Hochstatter; Melissa N. Slavin; Nabila El-Bassel; Smaranda Muresan (NAACL-HLT (Findings), 2024)

V-FLUTE: Visual Figurative Language Understanding with Textual Explanations. - Arkadiy Saakyan; Shreyas Kulkarni; Tuhin Chakrabarty; Smaranda Muresan (CoRR, 2024)

Knowledge-enhanced Large Language Models and Human-AI Collaboration Frameworks for Creativity Support - Tuhin Chakrabarty (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 (CHI, 2025)

Understanding Figurative Meaning through Explainable Visual Entailment. - Arkadiy Saakyan; Shreyas Kulkarni; Tuhin Chakrabarty; Smaranda Muresan (NAACL (Long Papers), 2025)

How do Humans and Language Models Reason About Creativity? A Comparative Analysis. - Antonio Laverghetta Jr.; Tuhin Chakrabarty; Tom Hope; Jimmy Pronchick; Krupa Bhawsar; Roger E. Beaty (CoRR, 2025)

AI-Slop to AI-Polish? Aligning Language Models through Edit-Based Writing Rewards and Test-time Computation. - Tuhin Chakrabarty; Philippe Laban; Chien-Sheng Wu (CoRR, 2025)

AI Safety Should Prioritize the Future of Work. - Sanchaita Hazra; Bodhisattwa Prasad Majumder; Tuhin Chakrabarty (CoRR, 2025)

Facilitating Longitudinal Interaction Studies of AI Systems. - Tao Long; Sitong Wang; Émilie Fabre; Tony Wang; Anup Sathya; Jason Wu; Savvas Petridis; Dingzeyu Li; Tuhin Chakrabarty; Yue Jiang; Jingyi Li; Tiffany Tseng; et al. (CoRR, 2025)