Tuhin Chakrabarty

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 58

Top Topics

Story Generation

Diffusion Models

Textual Entailment

Top Venues

Publications

Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu
Art or Artifice? Large Language Models and the False Promise of Creativity. CHI (2024)
Prisha Samadarshi, Mariam Mustafa, Anushka Kulkarni, Raven Rothkopf, Tuhin Chakrabarty, Smaranda Muresan
Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game. CoRR (2024)
Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, Smaranda Muresan
V-FLUTE: Visual Figurative Language Understanding with Textual Explanations. CoRR (2024)
Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers. Creativity & Cognition (2024)
Tuhin Chakrabarty, Kanishk Singh, Arkadiy Saakyan, Smaranda Muresan
Learning to Follow Object-Centric Image Editing Instructions Faithfully. CoRR (2023)
Tariq Alhindi, Tuhin Chakrabarty, Elena Musi, Smaranda Muresan
Multitask Instruction-based Prompting for Fallacy Recognition. CoRR (2023)
Chenghao Yang, Tuhin Chakrabarty, Karli R. Hochstatter, Melissa N. Slavin, Nabila El-Bassel, Smaranda Muresan
Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts. CoRR (2023)
Tuhin Chakrabarty, Kanishk Singh, Arkadiy Saakyan, Smaranda Muresan
Learning to Follow Object-Centric Image Editing Instructions Faithfully. EMNLP (Findings) (2023)
Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan
I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors. CoRR (2023)
Yi Fung, Tuhin Chakrabarty, Hao Guo, Owen Rambow, Smaranda Muresan, Heng Ji
NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly. EMNLP (2023)
Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu
Art or Artifice? Large Language Models and the False Promise of Creativity. CoRR (2023)
Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers. CoRR (2023)
Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan
I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors. ACL (Findings) (2023)
Tuhin Chakrabarty, Justin Lewis, Smaranda Muresan
CONSISTENT: Open-Ended Question Generation From News Articles. CoRR (2022)
Tuhin Chakrabarty, Yejin Choi, Vered Shwartz
It's not Rocket Science: Interpreting Figurative Language in Narratives. Trans. Assoc. Comput. Linguistics 10 (2022)
Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan
Fine-tuned Language Models are Continual Learners. EMNLP (2022)
Tariq Alhindi, Tuhin Chakrabarty, Elena Musi, Smaranda Muresan
Multitask Instruction-based Prompting for Fallacy Recognition. EMNLP (2022)
Tuhin Chakrabarty, Vishakh Padmakumar, He He
Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing. EMNLP (2022)
Tuhin Chakrabarty, Justin Lewis, Smaranda Muresan
CONSISTENT: Open-Ended Question Generation From News Articles. EMNLP (Findings) (2022)
Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, Smaranda Muresan
FLUTE: Figurative Language Understanding and Textual Explanations. CoRR (2022)
Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, Smaranda Muresan
FLUTE: Figurative Language Understanding through Textual Explanations. EMNLP (2022)
Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan
Continual-T0: Progressively Instructing 50+ Tasks to Language Models Without Forgetting. CoRR (2022)
Tuhin Chakrabarty, Vishakh Padmakumar, He He
Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing. CoRR (2022)
Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych
Metaphor Generation with Conceptual Mappings. CoRR (2021)
Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic. ACL/IJCNLP (1) (2021)
Tuhin Chakrabarty, Arkadiy Saakyan, Smaranda Muresan
Don't Go Far Off: An Empirical Study on Neural Poetry Translation. EMNLP (1) (2021)
Tuhin Chakrabarty, Aadit Trivedi, Smaranda Muresan
Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models. EMNLP (1) (2021)
Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. CoRR (2021)
Tuhin Chakrabarty, Aadit Trivedi, Smaranda Muresan
Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models. CoRR (2021)
Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan
ENTRUST: Argument Reframing with Language Models and Entailment. NAACL-HLT (2021)
Yufei Tian, Tuhin Chakrabarty, Fred Morstatter, Nanyun Peng
Identifying Distributional Perspectives from Colingual Groups. SocialNLP@NAACL (2021)
Tuhin Chakrabarty, Yejin Choi, Vered Shwartz
It's not Rocket Science : Interpreting Figurative Language in Narratives. CoRR (2021)
Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan
Figurative Language in Recognizing Textual Entailment. ACL/IJCNLP (Findings) (2021)
Tuhin Chakrabarty, Arkadiy Saakyan, Smaranda Muresan
Don't Go Far Off: An Empirical Study on Neural Poetry Translation. CoRR (2021)
Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan
ENTRUST: Argument Reframing with Language Models and Entailment. CoRR (2021)
Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan, Nanyun Peng
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding. CoRR (2021)
Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych
Metaphor Generation with Conceptual Mappings. ACL/IJCNLP (1) (2021)
Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan
Figurative Language in Recognizing Textual Entailment. CoRR (2021)
Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan, Nanyun Peng
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding. NAACL-HLT (2021)
Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic. CoRR (2021)
Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. NAACL-HLT (Demonstrations) (2021)
Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona T. Diab, Smaranda Muresan
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking. CoRR (2020)
Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph M. Weischedel, Nanyun Peng
Content Planning for Neural Story Generation with Aristotelian Rescoring. EMNLP (1) (2020)
Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, Nanyun Peng
$R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge. CoRR (2020)
Tuhin Chakrabarty, Smaranda Muresan, Nanyun Peng
Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation. EMNLP (1) (2020)
Tuhin Chakrabarty, Smaranda Muresan, Nanyun Peng
Generating similes like a Pro: A Style Transfer Approach for Simile Generation. CoRR (2020)
Yufei Tian, Tuhin Chakrabarty, Fred Morstatter, Nanyun Peng
Identifying Cultural Differences through Multi-Lingual Wikipedia. CoRR (2020)
Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, Nanyun Peng
R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge. ACL (2020)
Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. CoRR (2020)
Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph M. Weischedel, Nanyun Peng
Content Planning for Neural Story Generation with Aristotelian Rescoring. CoRR (2020)
Christopher Hidey, Tuhin Chakrabarty, Tariq Alhindi, Siddharth Varia, Kriste Krstovski, Mona T. Diab, Smaranda Muresan
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking. ACL (2020)
Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. EMNLP/IJCNLP (1) (2019)
Siddharth Varia, Christopher Hidey, Tuhin Chakrabarty
Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks. SIGdial (2019)
Tuhin Chakrabarty, Christopher Hidey, Kathy McKeown
IMHO Fine-Tuning Improves Claim Detection. NAACL-HLT (1) (2019)
Tuhin Chakrabarty, Christopher Hidey, Kathleen R. McKeown
IMHO Fine-Tuning Improves Claim Detection. CoRR (2019)
Tuhin Chakrabarty, Smaranda Muresan
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning. SemEval@NAACL-HLT (2019)
Tuhin Chakrabarty, Kilol Gupta
Context-Aware Attention for Understanding Twitter Abuse. CoRR (2018)
Tuhin Chakrabarty, Tariq Alhindi, Smaranda Muresan
Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification. FEVER@EMNLP (2018)