A two-stage self-evolutionary knowledge distillation framework that equips small MLLMs with robust and adaptive tool-use behaviors and introduces weighted semantic objectives and iteratively expand competence through error-driven optimization, hybrid experience replay, and group-relative policy refinement with multi-di...
Lei Shen, Cheng-Yu Wang, Yuanjie Lyu et al.· Proceedings of the 32nd ACM...· 0 citations
Autonomous multi-modal agents are increasingly important in real-world applications due to their ability to reason about complex environments and orchestrate tool use. However, deploying multi-modal large language models (MLLMs) for tool use is often constrained by computational cost and inference latency, creating a p...
Lei Shen, Chengyu Wang, Yuanjie Lyu et al.· Proceedings of the 32nd ACM...· 0 citations
It is shown that a one-line guardrail achieves large single-shot ASR reductions, up to roughly 40 points, at near-zero over-refusal cost, which overstates deployed robustness by a systematic and predictable margin.
Haoxin An, Yunpeng Song, Zihao Bai et al.· arXiv.org· 0 citations
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