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ORCIDTuhin Chakrabarty
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2020 – today
- 2024
[c29]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: 132-155- [c28]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: 30:1-30:34 - [c27]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. NAACL-HLT (Findings) 2024: 2507-2521 - [i29]Arkadiy Saakyan, Shreyas Kulkarni, Tuhin Chakrabarty, Smaranda Muresan:
V-FLUTE: Visual Figurative Language Understanding with Textual Explanations. CoRR abs/2405.01474 (2024) - [i28]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 abs/2406.11012 (2024) - 2023
- [c26]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: 7370-7388 - [c25]Tuhin Chakrabarty, Kanishk Singh, Arkadiy Saakyan, Smaranda Muresan:
Learning to Follow Object-Centric Image Editing Instructions Faithfully. EMNLP (Findings) 2023: 9630-9646 - [c24]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: 15217-15230 - [i27]Tariq Alhindi, Tuhin Chakrabarty, Elena Musi, Smaranda Muresan:
Multitask Instruction-based Prompting for Fallacy Recognition. CoRR abs/2301.09992 (2023) - [i26]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 abs/2305.14724 (2023) - [i25]Tuhin Chakrabarty, Vishakh Padmakumar, Faeze Brahman, Smaranda Muresan:
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers. CoRR abs/2309.12570 (2023) - [i24]Tuhin Chakrabarty, Philippe Laban, Divyansh Agarwal, Smaranda Muresan, Chien-Sheng Wu:
Art or Artifice? Large Language Models and the False Promise of Creativity. CoRR abs/2309.14556 (2023) - [i23]Tuhin Chakrabarty, Kanishk Singh, Arkadiy Saakyan, Smaranda Muresan:
Learning to Follow Object-Centric Image Editing Instructions Faithfully. CoRR abs/2310.19145 (2023) - [i22]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 abs/2311.09066 (2023) - 2022
- [j1]Tuhin Chakrabarty, Yejin Choi, Vered Shwartz:
It's not Rocket Science: Interpreting Figurative Language in Narratives. Trans. Assoc. Comput. Linguistics 10: 589-606 (2022) - [c23]Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan:
Fine-tuned Language Models are Continual Learners. EMNLP 2022: 6107-6122 - [c22]Tuhin Chakrabarty, Vishakh Padmakumar, He He:
Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing. EMNLP 2022: 6848-6863 - [c21]Tuhin Chakrabarty, Justin Lewis, Smaranda Muresan:
CONSISTENT: Open-Ended Question Generation From News Articles. EMNLP (Findings) 2022: 6954-6968 - [c20]Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, Smaranda Muresan:
FLUTE: Figurative Language Understanding through Textual Explanations. EMNLP 2022: 7139-7159 - [c19]Tariq Alhindi, Tuhin Chakrabarty, Elena Musi, Smaranda Muresan:
Multitask Instruction-based Prompting for Fallacy Recognition. EMNLP 2022: 8172-8187 - [i21]Thomas Scialom, Tuhin Chakrabarty, Smaranda Muresan:
Continual-T0: Progressively Instructing 50+ Tasks to Language Models Without Forgetting. CoRR abs/2205.12393 (2022) - [i20]Tuhin Chakrabarty, Arkadiy Saakyan, Debanjan Ghosh, Smaranda Muresan:
FLUTE: Figurative Language Understanding and Textual Explanations. CoRR abs/2205.12404 (2022) - [i19]Tuhin Chakrabarty, Justin Lewis, Smaranda Muresan:
CONSISTENT: Open-Ended Question Generation From News Articles. CoRR abs/2210.11536 (2022) - [i18]Tuhin Chakrabarty, Vishakh Padmakumar, He He:
Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing. CoRR abs/2210.13669 (2022) - 2021
- [c18]Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan:
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic. ACL/IJCNLP (1) 2021: 2116-2129 - [c17]Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan:
Figurative Language in Recognizing Textual Entailment. ACL/IJCNLP (Findings) 2021: 3354-3361 - [c16]Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych:
Metaphor Generation with Conceptual Mappings. ACL/IJCNLP (1) 2021: 6724-6736 - [c15]Yufei Tian, Tuhin Chakrabarty, Fred Morstatter, Nanyun Peng:
Identifying Distributional Perspectives from Colingual Groups. SocialNLP@NAACL 2021: 178-190 - [c14]Tuhin Chakrabarty, Aadit Trivedi, Smaranda Muresan:
Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models. EMNLP (1) 2021: 6247-6252 - [c13]Tuhin Chakrabarty, Arkadiy Saakyan, Smaranda Muresan:
Don't Go Far Off: An Empirical Study on Neural Poetry Translation. EMNLP (1) 2021: 7253-7265 - [c12]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: 26-34 - [c11]Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan, Nanyun Peng:
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding. NAACL-HLT 2021: 4250-4261 - [c10]Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan:
ENTRUST: Argument Reframing with Language Models and Entailment. NAACL-HLT 2021: 4958-4971 - [i17]Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng:
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. CoRR abs/2102.02191 (2021) - [i16]Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan:
ENTRUST: Argument Reframing with Language Models and Entailment. CoRR abs/2103.06758 (2021) - [i15]Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan, Nanyun Peng:
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding. CoRR abs/2103.06779 (2021) - [i14]Tuhin Chakrabarty, Debanjan Ghosh, Adam Poliak, Smaranda Muresan:
Figurative Language in Recognizing Textual Entailment. CoRR abs/2106.01195 (2021) - [i13]Kevin Stowe, Tuhin Chakrabarty, Nanyun Peng, Smaranda Muresan, Iryna Gurevych:
Metaphor Generation with Conceptual Mappings. CoRR abs/2106.01228 (2021) - [i12]Arkadiy Saakyan, Tuhin Chakrabarty, Smaranda Muresan:
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic. CoRR abs/2106.03794 (2021) - [i11]Tuhin Chakrabarty, Yejin Choi, Vered Shwartz:
It's not Rocket Science : Interpreting Figurative Language in Narratives. CoRR abs/2109.00087 (2021) - [i10]Tuhin Chakrabarty, Arkadiy Saakyan, Smaranda Muresan:
Don't Go Far Off: An Empirical Study on Neural Poetry Translation. CoRR abs/2109.02972 (2021) - [i9]Tuhin Chakrabarty, Aadit Trivedi, Smaranda Muresan:
Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models. CoRR abs/2109.05358 (2021) - 2020
- [c9]Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, Nanyun Peng:
R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge. ACL 2020: 7976-7986 - [c8]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: 8593-8606 - [c7]Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph M. Weischedel, Nanyun Peng:
Content Planning for Neural Story Generation with Aristotelian Rescoring. EMNLP (1) 2020: 4319-4338 - [c6]Tuhin Chakrabarty, Smaranda Muresan, Nanyun Peng:
Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation. EMNLP (1) 2020: 6455-6469 - [i8]Yufei Tian, Tuhin Chakrabarty, Fred Morstatter, Nanyun Peng:
Identifying Cultural Differences through Multi-Lingual Wikipedia. CoRR abs/2004.04938 (2020) - [i7]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 abs/2004.12864 (2020) - [i6]Tuhin Chakrabarty, Debanjan Ghosh, Smaranda Muresan, Nanyun Peng:
$R^3$: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge. CoRR abs/2004.13248 (2020) - [i5]Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang:
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. CoRR abs/2004.14677 (2020) - [i4]Tuhin Chakrabarty, Smaranda Muresan, Nanyun Peng:
Generating similes like a Pro: A Style Transfer Approach for Simile Generation. CoRR abs/2009.08942 (2020) - [i3]Seraphina Goldfarb-Tarrant, Tuhin Chakrabarty, Ralph M. Weischedel, Nanyun Peng:
Content Planning for Neural Story Generation with Aristotelian Rescoring. CoRR abs/2009.09870 (2020)
2010 – 2019
- 2019
- [c5]Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang:
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. EMNLP/IJCNLP (1) 2019: 2933-2943 - [c4]Tuhin Chakrabarty, Christopher Hidey, Kathy McKeown:
IMHO Fine-Tuning Improves Claim Detection. NAACL-HLT (1) 2019: 558-563 - [c3]Tuhin Chakrabarty, Smaranda Muresan:
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning. SemEval@NAACL-HLT 2019: 1144-1148 - [c2]Siddharth Varia, Christopher Hidey, Tuhin Chakrabarty:
Discourse Relation Prediction: Revisiting Word Pairs with Convolutional Networks. SIGdial 2019: 442-452 - [i2]Tuhin Chakrabarty, Christopher Hidey, Kathleen R. McKeown:
IMHO Fine-Tuning Improves Claim Detection. CoRR abs/1905.07000 (2019) - 2018
- [c1]Tuhin Chakrabarty, Tariq Alhindi, Smaranda Muresan:
Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification. FEVER@EMNLP 2018: 127-131 - [i1]Tuhin Chakrabarty, Kilol Gupta:
Context-Aware Attention for Understanding Twitter Abuse. CoRR abs/1809.08726 (2018)
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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