Souradip Chakraborty
19 papers · 2020–2026 · 10 venues · across top CS/AI venues
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Venues
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Research topics
Artificial Intelligence
(14)
Machine Learning
(14)
Core AI
(13)
Optimization & Theory
(8)
Natural Language Processing
(5)
Reinforcement Learning
(5)
Learning Types
(5)
Methods
(5)
Deep Learning
(3)
Applications
(2)
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Resources & Methods
(2)
Techniques
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Computer Science
(1)
Mathematics & Optimization
(1)
Keywords
reinforcement learning from human feedback
(4)
multi-agent system
(3)
large language model
(3)
safety alignment
(2)
language model
(2)
inference-time alignment
(2)
reward model
(2)
reinforcement learning
(2)
model-based reinforcement learning
(2)
adversarial attack
(2)
jailbreak attack
(2)
sample complexity
(1)
policy gradient
(1)
expectation maximization
(1)
information retrieval
(1)
text generation
(1)
text classification
(1)
model security
(1)
question answering
(1)
direct preference optimization
(1)
Papers
Jailbreaks as Inference-Time Alignment: A Framework for Understanding Safety Failures in LLMs
EACL 2026
Align-Pro: A Principled Approach to Prompt Optimization for LLM Alignment
AAAI 2025
Bounded Rationality for LLMs: Satisficing Alignment at Inference-Time
ICML 2025
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
AAAI 2025
Collab: Controlled Decoding using Mixture of Agents for LLM Alignment
ICLR 2025
Immune: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment
CVPR 2025
Is Poisoning a Real Threat to DPO? Maybe More So Than You Think
AAAI 2025
Uncertainty-Aware Answer Selection for Improved Reasoning in Multi-LLM Systems
EMNLP 2025
MaxMin-RLHF: Alignment with Diverse Human Preferences
ICML 2024
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback
ICLR 2024
Position: On the Possibilities of AI-Generated Text Detection
ICML 2024
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL
ICLR 2024
Transfer Q-star : Principled Decoding for LLM Alignment
NeurIPS 2024
Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning
AAAI 2023
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning
ICML 2023
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm
CoRL 2022
On the Hidden Biases of Policy Mirror Ascent in Continuous Action Spaces
ICML 2022
BioMedBERT: A Pre-trained Biomedical Language Model for QA and IR
COLING 2020
Transformers at SemEval-2020 Task 11: Propaganda Fragment Detection Using Diversified BERT Architectures Based Ensemble Learning
SemEval 2020