新闻
QuanReview: Offline, Auditable Reconciliation of Human and LLM Span Annotations
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- QuanReview is an open-source system for reconciling human and LLM annotations of structured spans like quantities and events through character-level alignment and browser-based adjudication.
- 为何重要
- Teams building datasets need this when combining human annotations with LLM-extracted structured data and must audit and correct mismatches before finalizing training sets.
- 注意
- The system was tested on one humanitarian benchmark; effectiveness on other domains, annotation types, and LLM extraction quality levels remains unclear from this paper.
- llm
- language model
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