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Kui-En Liu

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#artificial intelligence Preprint Aug 2026

When and What to Teach: Budget-Aware Online Adaptation for Web Agents

A budget-aware framework that systematically orchestrates when and what to teach and integrates a solvability-aware teacher gate to dictate the teacher model and a score-guided turn selection mechanism to decide what informative turns to retain is proposed.

Jian-Wei Zhang, Si-Han Cao, Peng-Cheng Zheng et al. · 0 citations
#small language model Open access Aug 2026

GS-Chaff: Multi-Agent Prompt-Level Semantic Chaffing for Privacy-Preserving LLM Inference

Generative semantic chaffing (GS-Chaff), a training-free multi-agent framework for privacy-preserving LLM inference over natural-language text queries that hides the user’s true intent among semantically plausible chaff queries, is proposed.

Quan Zhou, Zhi-Cheng Wang, Zhengjun Yue et al. · 0 citations

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