Subhajit Chaudhury
26 papers · 2020–2026 · 10 venues · across top CS/AI venues
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Artificial Intelligence
(20)
Core AI
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Machine Learning
(14)
Deep Learning
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Reinforcement Learning
(10)
Natural Language Processing
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Learning Types Β· Deep Learning
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Keywords
reinforcement learning
(8)
text-based game
(6)
large language model
(5)
neuro-symbolic reasoning
(4)
policy learning
(3)
text-based reinforcement learning
(2)
neural network
(2)
rule learning
(2)
neuro-symbolic method
(2)
logical form
(2)
symbolic policy
(2)
key-value cache
(2)
episodic memory
(2)
symbolic rule learning
(2)
neuro-symbolic learning
(2)
interpretable policy
(2)
feature learning
(2)
self-supervised learning
(1)
preference learning
(1)
multi-task learning
(1)
Papers
Answering the Wrong Question: Reasoning Trace Inversion for Abstention in LLMs
ACL 2026
ImReasoner: Improving Memory-based Language Models for Reasoning-in-a-Haystack Tasks
ACL 2026
ZoomR: Memory Efficient Reasoning through Multi-Granularity Key Value Retrieval
ACL 2026
EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts
ACL 2025
Granite Guardian: Comprehensive LLM Safeguarding
NAACL 2025
Large Language Models can Become Strong Self-Detoxifiers
ICLR 2025
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning
COLING 2025
A Grounded Preference Model for LLM Alignment
ACL 2024
API-BLEND: A Comprehensive Corpora for Training and Benchmarking API LLMs
ACL 2024
EXPLORER: Exploration-guided Reasoning for Textual Reinforcement Learning
EACL 2024
Larimar: Large Language Models with Episodic Memory Control
ICML 2024
Laziness Is a Virtue When It Comes to Compositionality in Neural Semantic Parsing
ACL 2023
Learning Symbolic Rules over Abstract Meaning Representations for Textual Reinforcement Learning
ACL 2023
MISMATCH: Fine-grained Evaluation of Machine-generated Text with Mismatch Error Types
ACL 2023
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach
ICLR 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with Ξ΅-Greedy Exploration
NeurIPS 2023
Self-Supervised Rule Learning to Link Text Segments to Relational Elements of Structured Knowledge
EMNLP 2023
Eye of the Beholder: Improved Relation Generalization for Text-Based Reinforcement Learning Agents
AAAI 2022
X-FACTOR: A Cross-metric Evaluation of Factual Correctness in Abstractive Summarization
EMNLP 2022
Language-based General Action Template for Reinforcement Learning Agents
ACL 2021
LOA: Logical Optimal Actions for Text-based Interaction Games
ACL 2021
Neuro-Symbolic Approaches for Text-Based Policy Learning
EMNLP 2021
Neuro-Symbolic Reinforcement Learning with First-Order Logic
EMNLP 2021
Adversarial Discriminative Attention for Robust Anomaly Detection
WACV 2020
Bootstrapped Q-learning with Context Relevant Observation Pruning to Generalize in Text-based Games
EMNLP 2020
Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities
AAAI 2020