Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selection
- 类型:arxiv
- 标识:2608.20169
- 链接:https://arxiv.org/abs/2608.20169
- 主分类:evaluation
- 形态:method
- 被引:4
- 被引来源:Semantic Scholar
- S2被引:4
- OpenAlex被引:0
- 影响力被引:0
- TLDR:Task-CoEvolve builds on the observation that tasks on which candidate harnesses disagree are more informative for distinguishing among them than tasks that are consistently solved or failed, and uses variance-weighted sampling based on past outcomes to focus evaluation on tasks near the capability frontier.
- OpenAlex ID:W7203872025
- OpenAlex DOI:10.48550/arxiv.2608.20169
- DOI:10.48550/arxiv.2608.20169
- DOI来源:OpenAlex
- 开放获取:green
- 开放获取链接:https://arxiv.org/pdf/2608.20169
- OpenAlex更新:2026-08-31
- 待LLM分类:否
- 标题中文:Task-CoEvolve:通过自适应验证任务选择实现 Harness 高效优化
- TLDR中文:Task-CoEvolve 基于以下观察:相比被一致解决或一致失败的候选任务,候选 harness 之间存在分歧的任务更能提供区分信息;它利用基于历史结果的方差加权采样,将评估聚焦在能力前沿附近的任务上。
- 来源文件:
- /inbox/tom/_candidates/2026-08-25-agent-rag-longcontext-candidates.json
- [S2 enrich]
- [OpenAlex backfill]