2 papers
cs.LG2026
Optimal Design for Human Preference Elicitation
Subhojyoti Mukherjee, Anusha Lalitha, Kousha Kalantari +4
Learning of preference models from human feedback has been central to recent advances in artificial intelligence. Motivated by the cost of obtaining high-quality human annotations,…
cs.LG2024
Multi-Objective Alignment of Large Language Models Through Hypervolume Maximization
Subhojyoti Mukherjee, Anusha Lalitha, Sailik Sengupta +2
Multi-objective alignment from human feedback (MOAHF) in large language models (LLMs) is a challenging problem as human preferences are complex, multifaceted, and often conflicting…