In the news
QuanReview: Offline, Auditable Reconciliation of Human and LLM Span Annotations
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- 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.
- Why it matters
- Teams building datasets need this when combining human annotations with LLM-extracted structured data and must audit and correct mismatches before finalizing training sets.
- Watch out
- 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
The patterns behind this
- Agent Observability & Tracing
- Agentic Context Engineering (Evolving Playbook)
- Intrinsic Alignment Pattern
Each one covers how the technique works, when it earns its cost, and where it breaks.
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