PSEBench - Missing Information Detection: leaderboard

A PSEBench patient safety triage dimension: the binary F1 of asking for more information exactly on the cases whose narrative withholds facts, in percent; higher is better. PSEBench (2026) builds 5,074 verifiable cases from clause cards of the Minnesota 29 reportable adverse health events, and models may query a simulated information provider before answering.

Metric: Missing-case detection F1 (%, M5): binary F1 of asking at least once, positive class the missing-information cases, over all cases, on the 5,074-case MN29 benchmark (3,455 complete, 1,362 missing-information and 257 uncertain cases built from clause cards of the Minnesota 29 reportable adverse health events), agentic environment where the model may ASK a GPT-5.2 information provider within 10 turns and then answers with a verdict, clause, legal evidence and rationale; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 15 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)88.2#94
2Claude Opus 4.783.4#79
3GPT-5.582.2#49
4GPT-577.7#167
5Gemini 2.5 Flash70.5#453
6Claude Sonnet 4.670.1#161
7DeepSeek R166.5#473
8Qwen 3 235B A22B 2507 Instruct54.7#619
9Llama 3.1 8B Instruct46.7#4246
10GPT-OSS-120B36.5#700
11GPT-5 Nano35.3#889
12Mistral Small 3.227.7#1591

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=psebench-missing-information-detection · How It Works · Data refreshed daily, snapshot 2026-11-13.