PSEBench - Missing Slot Identification: leaderboard

A PSEBench patient safety triage dimension: the F1 of the withheld fields that the model questions target, on missing-information cases where it asked, 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 slot identification F1 (%, M6): micro F1 of the withheld fields the ASK queries target, on missing cases where the model asked, 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
1Claude Opus 4.777.6#79
2Gemini 3.1 Pro (Preview)77.4#94
3GPT-5.577.3#49
4Claude Sonnet 4.676.2#161
5GPT-575#167
6Gemini 2.5 Flash71.6#453
7GPT-OSS-120B71.6#700
8Qwen 3 235B A22B 2507 Instruct69.3#619
9DeepSeek R166.3#473
10GPT-5 Nano61#889
11Mistral Small 3.253.5#1591
12Llama 3.1 8B Instruct24.6#4246

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-slot-identification · How It Works · Data refreshed daily, snapshot 2026-11-13.