Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning 事件

Search-E1: Self-Distillation Drives Self-Evolution in Search-Augmented Reasoning arXiv:2605.22511v2 Announce Type: replace-cross Abstract: Post-training has become the dominant recipe for turning a language model into a competent search-augmented reasoning agent. A line of recent work pushes its performance further by adding elaborate machinery on top of this standard pipeline. These augmentations import external supervision from stronger external systems, attach auxiliary modules such as proce