Xiaohongshu's AdaptEvo beats Gemini on content moderation, +7.5 pts over GRPO

小红书技术REDtech · wechat · 2026-10-13

Xiaohongshu's AllSpark team and its community moderation group released AdaptEvo, an agent learning framework for rule-governed contextual decision tasks (e.g., deciding if a wound image violates rules while medical exemptions apply), combining confidence-adaptive RL with evolving decision knowledge and evaluation criteria.

Method:

Results: on Qwen3.6-35B-A3B, AdaptEvo hits 61.9% exact-label accuracy and 72.2% binary accuracy on multimodal moderation, beating Gemini3.8-Flash for SOTA — +7.5/+3.7 points over GRPO. On out-of-period test sets where rules changed, gains persist (+7.6/+4.3), while GRPO's out-of-period accuracy degrades below the base model over training. Injecting evolved knowledge alone, without parameter updates, adds +3.7/+3.2 points. Paper: arxiv.org/abs/2610.11354

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