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cs.LG2026
Best-of-Better-: Generating Pre-Aligned Responses with In-Context Learning
Eric Lei, Hsiang Hsu, Chun-Fu Chen
Inference-time alignment methods, such as Best-of-, offer a flexible alternative to training-based alignment by using reward models to select high-quality responses generated by…
cs.AI2026
Best-of-Tails: Bridging Optimism and Pessimism in Inference-Time Alignment
Hsiang Hsu, Eric Lei, Chun-Fu Chen
Inference-time alignment effectively steers large language models (LLMs) by generating multiple candidates from a reference model and selecting among them with an imperfect reward…