Unifying Ranking and Generation in Query Auto-Completion via Retrieval-Augmented Generation and Multi-Objective Alignment
Unifying retrieval-based ranking and generation for query auto-completion under multi-objective alignment.
K. Yuan
Unifying retrieval-based ranking and generation for query auto-completion under multi-objective alignment.
Single-step reinforcement learning for analog circuit sizing: >8× faster than DDPG, >2× faster than Bayesian optimization.
LLM program synthesis plus gradient-free parameter optimization reaches target control performance in over an order of magnitude fewer search steps.