Berkeley AI Research Survey Maps Adaptive Parallel Reasoning for Efficient LLM Inference
A Berkeley AI Research blog post surveys adaptive parallel reasoning (APR), a paradigm where reasoning models decide when to decompose tasks, spawn concurrent threads, and coordinate them. It contrasts APR with fixed met...