Debjit Paul
17 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(12)
Natural Language Processing
(12)
Core AI
(11)
Machine Learning
(7)
Applications
(6)
Knowledge & Reasoning
(5)
Core Methods
(4)
Generation
(4)
Learning Types · Machine Learning
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Reasoning
(4)
Resources & Methods
(4)
Deep Learning
(2)
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Learning Paradigms
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Learning Types · Deep Learning
(1)
Keywords
natural language inference
(3)
causal inference
(3)
counterfactual reasoning
(2)
named entity recognition
(2)
causal reasoning
(2)
language model
(2)
benchmark evaluation
(2)
large language model
(2)
abductive reasoning
(2)
knowledge distillation
(1)
attention mechanism
(1)
direct preference optimization
(1)
transfer learning
(1)
zero-shot learning
(1)
knowledge extraction
(1)
question answering
(1)
natural language processing
(1)
natural language generation
(1)
event understanding
(1)
sentiment analysis
(1)
Papers
Parity-Aware Byte-Pair Encoding: Improving Cross-lingual Fairness in Tokenization
ACL 2026
Process Evaluation for Agentic Systems
EACL 2026
A Logical Fallacy-Informed Framework for Argument Generation
NAACL 2025
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
ICLR 2025
Entity Insertion in Multilingual Linked Corpora: The Case of Wikipedia
EMNLP 2024
Exploring Defeasibility in Causal Reasoning
ACL 2024
Making Reasoning Matter: Measuring and Improving Faithfulness of Chain-of-Thought Reasoning
EMNLP 2024
REFINER: Reasoning Feedback on Intermediate Representations
EACL 2024
CRAB: Assessing the Strength of Causal Relationships Between Real-world Events
EMNLP 2023
CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks
EMNLP 2023
Language Model Decoding as Likelihood–Utility Alignment
EACL 2023
Class Incremental Learning for Intent Classification with Limited or No Old Data
EMNLP 2022
COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion
ACL 2021
Generating Hypothetical Events for Abductive Inference
ACL 2021
Social Commonsense Reasoning with Multi-Head Knowledge Attention
EMNLP 2020
Handling Noisy Labels for Robustly Learning from Self-Training Data for Low-Resource Sequence Labeling
NAACL 2019
Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs
NAACL 2019