DiG-Plan: Mitigating Early Commitment for Tool-Graph Planning via Diffusion Guidance 事件

DiG-Plan: Mitigating Early Commitment for Tool-Graph Planning via Diffusion Guidance arXiv:2606.05728v1 Announce Type: cross Abstract: Generating executable tool plans requires selecting appropriate subsets from tool libraries, a combinatorial search problem with an exponentially large solution space. However, we identify a critical misalignment in predominant approaches: standard autoregressive (AR) decoding suffers from early commitment, where initial token choices rigidly constrain the searc