HPR-Bench - Profile Summarization - Tag Accuracy: leaderboard

Profile summarization in HPR-Bench (UserGPT Technical Report, Xuan et al., 2026): the model condenses a user's long behavioural history into a free-text persona summary, and Qwen3-32B extracts the atomic profile tags the summary states. The score is the accuracy of those extracted tags against the reference profile, in percent; higher is better.

Metric: Extracted-Tag Accuracy (%; AccEx, tags extracted from the summary by Qwen3-32B). Source: arxiv.org. Saturation forecast: Around February 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3 235B A22B 2507 (Thinking)70.14#460
2GLM-5 (Thinking)67.75#256 (GLM-5)
3Qwen 3 235B A22B 2507 Instruct64.23#619
4Kimi K2.5 (Thinking)63.56#252 (Kimi K2.5)
5DeepSeek V3.2 (Thinking)63.04#403 (DeepSeek V3.2)
6DeepSeek R1 052862.55#425
7Qwen 3.6 Plus (Thinking)57.13#217 (Qwen 3.6 Plus)
8Qwen 3 8B (Thinking)51.92#1838 (Qwen 3 8B)
9Qwen 3 8B (Non-reasoning)51.6#1838 (Qwen 3 8B)

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

Interactive version: theaggregate.ai/benchmark?slug=hpr-bench-profile-summarization-tag-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-12.