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Looking Complete Is Not Being Grounded: Evaluating LLM Sitreps Against Human-Authored Situation Reports

Paper recorded by Signals 4 on 2026-10-13 in cs.CL. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-13 on arXiv · recorded by Signals 4 on 2026-10-14

Category: cs.CL · 自然语言处理 · first seen 2026-10-14

Abstract

Evaluation for automatic crisis reporting should measure what practitioners need, not what is convenient to compare. Through LLM-assisted, author-approved content analysis, we derive a 15-slot information schema from professional humanitarian situation reports using qualitative content analysis, then evaluate 121 human and 261 LLM-generated reports across five disasters and three hazard types. Und

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#260 most recent of 660 cs.CL papers we have recorded · ↑ newer: Rubrics from the Task, Verdicts from Evidence: Pointwise Rubric Reward · ↓ older: PreciseCoder: Faithful and Generalizable Debugging Beyond Unit-Test Re
Cite this page: Looking Complete Is Not Being Grounded: Evaluating LLM Sitreps Against Human-Authored Situation Reports: the #260 most recent of 660 cs.CL papers we have recorded (as of 2026-10-13). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/looking-complete-is-not-being-grounded-evaluating-llm-sitreps-against-human-auth.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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