新闻
EarlyEval: Cheaper Agent Evaluation via Early Outcome Prediction
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- EarlyEval predicts when LLM agents will succeed or fail mid-execution and stops runs early, cutting evaluation costs by 13-26% of steps.
- 为何重要
- Teams iterating on LLM agents need this when frontier model evaluation costs hundreds to thousands per benchmark pass during development cycles.
- 注意
- Early stopping reduces resolve rates by one to two percentage points on average, and the approach requires training classifiers per benchmark.
- agent
- agentic
- llm
- distill
- eval
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