**Counsel: A Meta-Evaluation Dataset for Agentic Tasks** > As agentic systems t

**Counsel: A Meta-Evaluation Dataset for Agentic Tasks**

> As agentic systems tackle increasingly complex multi-step tasks, evaluating their trajectories presents a major bottleneck - human annotation of a single trajectory on popular agentic benchmarks can take hours, making it difficult to scale evaluations for measuring performance or curating training data. This has driven widespread reliance on automated approaches such as LLM-as-a-judge (LLMJ) to critique agents at the...

**来源信息**
- **来源**：HuggingFace Daily Papers（社区热门论文）
- **分类**：论文
- **发布时间**：2026-06-23 08:00（北京时间）
- **原文**：[打开原文](https://huggingface.co/papers/2606.21627)