新闻
When Both Sides Adapt: The Challenges of Evaluating Interactive LLM Systems
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Research paper identifies how user adaptation in interactive LLM systems creates evaluation challenges, showing offline benchmarks and live A/B tests measure different quantities.
- 为何重要
- Matters for engineers deploying LLMs where users adapt their prompts based on model responses and iteratively change task difficulty.
- 注意
- Offline benchmarks and live experiments can rank models differently, potentially leading to conflicting deployment decisions without measuring induced user behavior changes.
- llm
- prompt
- serving
- eval
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