| 2026 | CHI | Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High Quality Books. | Tuhin Chakrabarty, Paramveer S. Dhillon |
| 2025 | CHI | 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 |
| 2025 | CogSci | How do Humans and Language Models Reason About Creativity? A Comparative Analysis. | Antonio Laverghetta, Tuhin Chakrabarty, Tom Hope, Jimmy Pronchick, Krupa Bhawsar, Roger E. Beaty |
| 2025 | ICML | Position: AI Safety should prioritize the Future of Work. | Sanchaita Hazra, Bodhisattwa Prasad Majumder, Tuhin Chakrabarty |
| 2025 | NAACL | Understanding Figurative Meaning through Explainable Visual Entailment. | Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, Smaranda Muresan |
| 2025 | UIST | Facilitating Longitudinal Interaction Studies of AI Systems. | Tao Long, Sitong Wang, milie Fabre, Tony Wang, Anup Sathya, Jason Wu, Savvas Dimitrios Petridis, Ding Li, Tuhin Chakrabarty, Yue Jiang, Jingyi Li, Tiffany Tseng, Ken Nakagaki, Qian Yang, Nikolas Martelaro, Jeffrey V. Nickerson, Lydia B. Chilton |
| 2024 | CHI | Art or Artifice? Large Language Models and the False Promise of Creativity. | Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu |
| 2024 | EMNLP | 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 |
| 2024 | NAACL | 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 |
| 2023 | ACL | 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 |
| 2023 | EMNLP | NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly. | Yi Fung, Tuhin Chakrabarty, Hao Guo, Owen Rambow, Smaranda Muresan, Heng Ji |
| 2023 | EMNLP | Creative Natural Language Generation. | Tuhin Chakrabarty, Vishakh Padmakumar, He He, Nanyun Peng |
| 2023 | EMNLP | Learning to Follow Object-Centric Image Editing Instructions Faithfully. | Tuhin Chakrabarty, Kanishk Singh, Arkadiy Saakyan, Smaranda Muresan |
| 2022 | EMNLP | Multitask Instruction-based Prompting for Fallacy Recognition. | Tariq Alhindi, Tuhin Chakrabarty, Elena Musi, Smaranda Muresan |
| 2022 | EMNLP | CONSISTENT: Open-Ended Question Generation From News Articles. | Tuhin Chakrabarty, Justin Lewis, Smaranda Muresan |
| 2022 | EMNLP | Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing. | Tuhin Chakrabarty, Vishakh Padmakumar, He He |
| 2022 | EMNLP | FLUTE: Figurative Language Understanding through Textual Explanations. | Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, Smaranda Muresan |
| 2022 | EMNLP | Fine-tuned Language Models are Continual Learners. | Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan |
| 2021 | ACL | Figurative Language in Recognizing Textual Entailment. | Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan |
| 2021 | ACL | COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic. | Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan |
| 2021 | ACL | Metaphor Generation with Conceptual Mappings. | Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych |
| 2021 | EMNLP | Don't Go Far Off: An Empirical Study on Neural Poetry Translation. | Tuhin Chakrabarty, Arkadiy Saakyan, Smaranda Muresan |
| 2021 | EMNLP | Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models. | Tuhin Chakrabarty, Aadit Trivedi, Smaranda Muresan |
| 2021 | NAACL | ENTRUST: Argument Reframing with Language Models and Entailment. | Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan |
| 2021 | NAACL | MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding. | Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan, Nanyun Peng |
| 2021 | NAACL | DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. | Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng |
| 2020 | ACL | R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge. | Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, Nanyun Peng |
| 2020 | ACL | 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 |
| 2020 | EMNLP | Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation. | Tuhin Chakrabarty, Smaranda Muresan, Nanyun Peng |
| 2020 | EMNLP | Content Planning for Neural Story Generation with Aristotelian Rescoring. | Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph M. Weischedel, Nanyun Peng |
| 2019 | EMNLP | AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. | Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang |
| 2019 | NAACL | IMHO Fine-Tuning Improves Claim Detection. | Tuhin Chakrabarty, Christopher Hidey, Kathy McKeown |
| 2019 | SIGdial | Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks. | Siddharth Varia, Christopher Hidey, Tuhin Chakrabarty |
| 2018 | EMNLP | Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification. | Tuhin Chakrabarty, Tariq Alhindi, Smaranda Muresan |