Tuhin Chakrabarty
33 papers · 2018–2025 · 5 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (60) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(5)
🧭
Keyword Pioneer
🧬
Topic Evolution
🤝
Dynamic Duo
(26)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🌈
Renaissance Researcher
(6)
🗃️
Keyword Collector
(148)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Natural Language Processing
(23)
Artificial Intelligence
(14)
Machine Learning
(14)
Applications
(13)
Core AI
(13)
Learning Types · Machine Learning
(11)
Deep Learning
(10)
Generation
(10)
Learning Types · Deep Learning
(5)
Resources & Methods
(5)
Architectures
(4)
Core Methods
(4)
Learning Paradigms
(3)
Models
(3)
Understanding
(3)
Keywords
text generation
(8)
language model
(5)
figurative language
(5)
natural language inference
(4)
large language model
(4)
text classification
(3)
argument mining
(3)
transfer learning
(2)
chain-of-thought prompting
(2)
poetry generation
(2)
diffusion model
(2)
textual entailment
(2)
fact verification
(2)
instruction following
(2)
instruction tuning
(2)
multimodal learning
(2)
parallel corpus
(2)
zero-shot learning
(2)
commonsense knowledge
(2)
explanation generation
(2)
Papers
Position: AI Safety should prioritize the Future of Work
ICML 2025
Understanding Figurative Meaning through Explainable Visual Entailment
NAACL 2025
A Report on the FigLang 2024 Shared Task on Multimodal Figurative Language
NAACL 2024
Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game
EMNLP 2024
Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts
NAACL 2024
Creative Natural Language Generation
EMNLP 2023
I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors
ACL 2023
Learning to Follow Object-Centric Image Editing Instructions Faithfully
EMNLP 2023
NORMSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly
EMNLP 2023
A Report on the FigLang 2022 Shared Task on Understanding Figurative Language
EMNLP 2022
CONSISTENT: Open-Ended Question Generation From News Articles
EMNLP 2022
Fine-tuned Language Models are Continual Learners
EMNLP 2022
FLUTE: Figurative Language Understanding through Textual Explanations
EMNLP 2022
Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing
EMNLP 2022
Multitask Instruction-based Prompting for Fallacy Recognition
EMNLP 2022
COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic
ACL 2021
DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation
NAACL 2021
Don’t Go Far Off: An Empirical Study on Neural Poetry Translation
EMNLP 2021
ENTRUST: Argument Reframing with Language Models and Entailment
NAACL 2021
Figurative Language in Recognizing Textual Entailment
ACL 2021
Identifying Distributional Perspectives from Colingual Groups
NAACL 2021
Implicit Premise Generation with Discourse-aware Commonsense Knowledge Models
EMNLP 2021
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding
NAACL 2021
Metaphor Generation with Conceptual Mappings
ACL 2021
Content Planning for Neural Story Generation with Aristotelian Rescoring
EMNLP 2020
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking
ACL 2020
Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation
EMNLP 2020
Rˆ3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge
ACL 2020
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions
EMNLP 2019
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning
SemEval 2019
IMHO Fine-Tuning Improves Claim Detection
NAACL 2019
Pay “Attention” to your Context when Classifying Abusive Language
ACL 2019
Robust Document Retrieval and Individual Evidence Modeling for Fact Extraction and Verification.
EMNLP 2018