新闻
Predictable Failure in Multi-Hop Retrieval: Score-Distributional Confidence Scoring and Abstention
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Research shows multi-hop retrieval failures cluster predictably by query structure, enabling confidence scoring without extra LLM calls to reduce confident-wrong answers.
- 为何重要
- Engineers building retrieval systems need this when balancing accuracy and cost in multi-hop question answering across dense and LLM-judge architectures.
- 注意
- The method's feature importance varies by dataset; models trained on one benchmark show minimal transfer loss but optimal features differ across datasets.
- llm
- retrieval
- eval
这条新闻背后的模式
- Query Transformation Retrieval
- Structure-Aware Codebase Retrieval (Repo Map)
- Multi-Criteria Weighted Scoring
每个模式都讲清楚技术如何运作、何时值得投入，以及在哪里会失效。
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