How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs 事件

How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs arXiv:2606.10646v1 Announce Type: cross Abstract: Token-level credit assignment remains a key obstacle for reinforcement learning (RL) in large language models (LLMs), where RL recipes typically treat all tokens equally, failing to distinguish decisive reasoning steps from routine formatting or fluent filler. Recent attempts leverage model-internal signals to assign finer-grained credit, but these are of