**SLCA-GRPO: Resolving Cross-Segment Credit Misattribution in Tool-Calling RL**

**SLCA-GRPO: Resolving Cross-Segment Credit Misattribution in Tool-Calling RL**

> Tool-calling agents produce heterogeneous outputs, interleaving structured tool invocations with user-facing natural language summaries. This output heterogeneity presents a structural failure mode in standard on-policy Reinforcement Learning (RL): algorithms like GRPO indiscriminately broadcast a homogeneous trajectory-level scalar advantage to all tokens. Consequently, gradient noise from summary generation leaks i...

**来源信息**
- **来源**：HuggingFace Daily Papers（社区热门论文）
- **分类**：论文
- **发布时间**：2026-09-28 08:00（北京时间）
- **原文**：[打开原文](https://huggingface.co/papers/2609.29050)