Author

Song-Yan Li

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#artificial intelligence Preprint Oct 2026

SchemaFill: Efficient LLM Tool Calling via Slot-Parallel Speculative Decoding

LLM agents interact with external systems by generating structured tool calls. Given a user request, conversational context, and a catalog of tool schemas, a tool-calling model must select tools and generate their arguments, potentially producing multiple calls in a single response. Standard autoregressive decoding gen...

Zhi-Kai Chen, Song-Yan Li, De-Chuan Zhan et al. · 1 citation

Preprint Aug 2026

PeakBench: Benchmarking Resource-Aware Tool Invocation in LLM Agents

PeakBench is a benchmark of executable multi-tool workflows with execution-grounded dependency annotations and measured resource profiles that shows that strong logical planning does not reliably translate into safe or efficient execution under resource constraints, and exposes resource information to reduce avoidable...

Zhi-Kai Chen, Xu-Xiang Zhong, Song-Yan Li et al. · 2 citations