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cs.LG2025
ICL-Router: In-Context Learned Model Representations for LLM Routing
Chenxu Wang, Hao Li, Yiqun Zhang +6
Large language models (LLMs) often exhibit complementary strengths. Model routing harnesses these strengths by dynamically directing each query to the most suitable model, given a…
cs.LG2025
Sample-Efficient Reinforcement Learning from Human Feedback via Information-Directed Sampling
Han Qi, Haochen Yang, Qiaosheng Zhang +1
We study the problem of reinforcement learning from human feedback (RLHF), a critical problem in training large language models, from a theoretical perspective. Our main contributi…