2 papers
cs.AI2026
From RLHF to Direct Alignment: A Theoretical Unification of Preference Learning for Large Language Models
Tarun Raheja, Nilay Pochhi
Aligning large language models (LLMs) with human preferences has become essential for safe and beneficial AI deployment. While Reinforcement Learning from Human Feedback (RLHF) est…
cs.CL2024
Recent advancements in LLM Red-Teaming: Techniques, Defenses, and Ethical Considerations
Tarun Raheja, Nilay Pochhi, F. D. C. M. Curie
Large Language Models (LLMs) have demonstrated remarkable capabilities in natural language processing tasks, but their vulnerability to jailbreak attacks poses significant security…