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Tuhin Chakrabarty
Tuhin Chakrabarty
Stony Brook University , Department of Computer Science
Zweryfikowany adres z columbia.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Content planning for neural story generation with aristotelian rescoring
S Goldfarb-Tarrant, T Chakrabarty, R Weischedel, N Peng
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1392020
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
T Chakrabarty, C Hidey, S Muresan, K Mckeown, A Hwang
EMNLP 2019 , 2933–2943, 2020
1262020
Fine-tuned Language Models are Continual Learners
T Scialom, T Chakrabarty, S Muresan
EMNLP 2022, 2022
122*2022
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic
A Saakyan, T Chakrabarty, S Muresan
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
1182021
Art or Artifice? Large Language Models and the False Promise of Creativity
T Chakrabarty, P Laban, D Agarwal, S Muresan, CS Wu
CHI '24: Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
862024
IMHO Fine-Tuning Improves Claim Detection
T Chakrabarty, C Hidey, K McKeown
NAACL 2019, 558–563, 2019
832019
: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
T Chakrabarty, D Ghosh, S Muresan, N Peng
ACL 2020, 7976–7986, 2020
812020
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
T Chakrabarty, X Zhang, S Muresan, N Peng
2021 Annual Conference of the North American Chapter of the Association for …, 2021
732021
FLUTE: Figurative Language Understanding through Textual Explanations
T Chakrabarty, A Saakyan, D Ghosh, S Muresan
EMNLP 2022, 2022
702022
Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation
T Chakrabarty, S Muresan, N Peng
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
692020
Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing
T Chakrabarty, V Padmakumar, H He
EMNLP 2022, 2022
682022
It’s not Rocket Science: Interpreting Figurative Language in Narratives
T Chakrabarty, Y Choi, V Shwartz
Transactions of the Association for Computational Linguistics 10, 589-606, 2022
672022
Metaphor Generation with Conceptual Mappings
K Stowe, T Chakrabarty, N Peng, S Muresan, I Gurevych
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
532021
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
C Hidey, T Chakrabarty, T Alhindi, S Varia, K Krstovski, M Diab, ...
ACL 2020,8593–8606, 2020
502020
NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly
YR Fung, T Chakraborty, H Guo, O Rambow, S Muresan, H Ji
EMNLP 2022, 2022
492022
Pay “Attention” to your Context when Classifying Abusive Language
T Chakrabarty, K Gupta, S Muresan
Proceedings of the Third Workshop on Abusive Language Online, 70-79, 2019
492019
I spy a metaphor: Large language models and diffusion models co-create visual metaphors
T Chakrabarty, A Saakyan, O Winn, A Panagopoulou, Y Yang, ...
ACL 2023, 2023
422023
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers
T Chakrabarty, V Padmakumar, F Brahman, S Muresan
C&C '24: Proceedings of the 16th Conference on Creativity & Cognition, 2024
41*2024
Figurative language in recognizing textual entailment
T Chakrabarty, D Ghosh, A Poliak, S Muresan
arXiv preprint arXiv:2106.01195, 2021
372021
Multitask Instruction-based Prompting for Fallacy Recognition
T Alhindi, T Chakrabarty, E Musi, S Muresan
EMNLP 2022, 2022
292022
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Prace 1–20