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Yinhong Liu

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#artificial intelligence Review Oct 2026

Trajectory-Level Speculation with Semantic Verification for Tool-Using Agents

Large language model agents solve tasks through long sequences of tool calls, and the prevailing design has a single strong model generate every step, although many steps are routine enough for a much smaller model. Existing ways of sharing this work keep the strong model as the generator: routers and collaborative age...

Zi-Lin Wang, Yinhong Liu, Chao Chen et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Action-Space Shaping for LLM Agents: Measuring and Mitigating Tool-Schema Bias

Large Language Models (LLMs) have shown strong performance on tool-use agentic tasks when given a fixed tool schema. Yet a tool schema is not the action space of an agent; it is merely one interface representation of it. The same executable action can be exposed through many different, functionally equivalent tool defi...

Yinhong Liu, Zhi-Li Tan, Zi-Lin Wang et al. · 0 citations

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