2025
Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search
NeurIPS 2025spotlight
Recent advances demonstrate that increasing inference-time computation can significantly boost the reasoning capabilities of large language models (LLMs). Although repeated sampling (i.e., generating multiple candidate outputs) is a highly effective strategy, it does not leverage external feedback s…