新闻
Harness Learning Enables Generalizable Test-Time Adaptation
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers introduced harness learning, training a model to revise the executable programs that organize language model calls and tool use based on task feedback.
- 为何重要
- Matters for engineers building adaptive AI agents that need to improve their execution strategies at test time without retraining model parameters.
- 注意
- Paper shows benefits on reasoning and question answering tasks, but generalization to other domains and scalability of multi-round refinement remain unclear.
- agent
- tool use
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