Author

Xun Xu

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#artificial intelligence Preprint Sep 2026

OmniHarness: Harnessing Generalizable Visual Generation via Symbolic Policy Learning

Unified multimodal large language models (MLLMs) and multi-agent systems have advanced visual generation. However, three limitations remain. (1) Existing methods often distill task-specific experience with limited generalizability. (2) Reflection is often deferred until task completion. (3) Knowledge is often acquired...

Xun Xu, Jin-Xiu Liu, Zhang-Bo Qiao et al. · 1 citation

#artificial intelligence Preprint Sep 2026

Who Teaches Which Token? Verifier-Gated Multi-Expert On-Policy Distillation for Scientific Reasoning

Multi-teacher on-policy distillation (OPD) is becoming the standard way to integrate specialist capabilities into one model: train experts with RL, then distill them into the student on its own rollouts. Existing recipes assign supervision at the sequence level - each prompt goes to one domain teacher and every token r...

Xun Xu, Zai-Xi Zhang · 3 citations · ⚡1