Keyu Shen

Beyond Logits: Metastable Latent Dynamics for Sample-Efficient Best-of-N Selection in LLMs

Best-of-N selection improves reasoning in large language models (LLMs) by allocating additional test-time compute to sample multiple candidate trajectories, but it fundamentally relies on reliable verification. However, widely used proxies based on logit confidence or sample agreement can suffer fro…