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
Read on arXiv →
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
Get 4 AI signals a day by email — free.
Get 4 AI signals a day by email — free