SocialPersona - Dialogue (Timeline): leaderboard

SocialPersona (2026) tests whether multimodal models can infer what a person cares about from a real social-media timeline (post text, image captions and timestamps) and use it. This board rates personalized recommendations written with the raw timeline in context. Scored 0 to 5 by a GPT-5.5 judge as the mean of interest coverage, concreteness and fluency; higher is better.

Metric: Dialogue score (0 to 5): GPT-5.5 judge mean of interest coverage, concreteness and fluency of responses to stable-interest recommendation and recent-interest exploration requests, judged against the gold profile; the response is written with the raw timelines of 100 social-media users given as post text, image captions and timestamps (up to 200 posts) in context; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 6 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.43.57#123
2Qwen 3 VL 8B Instruct3.3#981
3GPT-4o Mini3.13#1623
4Gemini 2.5 Flash2.96#453
5Qwen 3.5 35B A3B2.96#482
6Qwen 2.5 VL 7B Instruct2.55#1833

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

Interactive version: theaggregate.ai/benchmark?slug=socialpersona-dialogue-timeline · How It Works · Data refreshed daily, snapshot 2026-11-13.