Sotabase

Career

· Visiting Professor, Salesforce AI Research2024–
· Assistant Professor, Stony Brook University2024–
· Research Intern (PhD), Allen Institute for Artificial Intelligence (AI2)2021–2021
· Computational Journalism Fellow, NYTimes R&D2021–2022
· Research Intern, IBM Research2020–2020
· Intern, Amazon2018–2018
· MS in Computer Science, Columbia University2017–2019
· PhD in Computer Science, Columbia University2017–2024
· Machine Learning Engineer, UBER2016–2017
· Software Engineer, Amazon2014–2016
· Bachelors of Engineering in Computer Science, Jadavpur University2010–2014

Publications (51)

Art or Artifice? Large Language Models and the False Promise of Creativity
International Conference on Human Factors in Computing Systems · 2023
216
cited
Fine-tuned Language Models are Continual Learners
Conference on Empirical Methods in Natural Language Processing · 2022
157
cited
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic
Annual Meeting of the Association for Computational Linguistics · 2021
143
cited
Content Planning for Neural Story Generation with Aristotelian Rescoring
Conference on Empirical Methods in Natural Language Processing · 2020
135
cited
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
Conference on Empirical Methods in Natural Language Processing · 2019
97
cited
Help me write a Poem - Instruction Tuning as a Vehicle for Collaborative Poetry Writing
Conference on Empirical Methods in Natural Language Processing · 2022
97
cited
FLUTE: Figurative Language Understanding through Textual Explanations
Conference on Empirical Methods in Natural Language Processing · 2022
93
cited
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
North American Chapter of the Association for Computational Linguistics · 2021
78
cited
R3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
Annual Meeting of the Association for Computational Linguistics · 2020
68
cited
IMHO Fine-Tuning Improves Claim Detection
North American Chapter of the Association for Computational Linguistics · 2019
65
cited
It’s not Rocket Science: Interpreting Figurative Language in Narratives
Transactions of the Association for Computational Linguistics · 2021
65
cited
I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors
Annual Meeting of the Association for Computational Linguistics · 2023
64
cited
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Professional Writers
Creativity & Cognition · 2024
62
cited
Metaphor Generation with Conceptual Mappings
Annual Meeting of the Association for Computational Linguistics · 2021
56
cited
Creativity Support in the Age of Large Language Models: An Empirical Study Involving Emerging Writers
arXiv.org · 2023
52
cited
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
Annual Meeting of the Association for Computational Linguistics · 2020
48
cited
Figurative Language in Recognizing Textual Entailment
Findings · 2021
46
cited
Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits
International Conference on Human Factors in Computing Systems · 2024
42
cited
Multitask Instruction-based Prompting for Fallacy Recognition
Conference on Empirical Methods in Natural Language Processing · 2023
33
cited
Pay “Attention” to your Context when Classifying Abusive Language
Proceedings of the Third Workshop on Abusive Language Online · 2018
33
cited
Sotabase
Tuhin Chakrabarty | Researcher Profile | Sotabase | Sotabase