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Zhi-Kai Chen

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#artificial intelligence Preprint Oct 2026

TaReD: Tool-Aware Recursive Decomposition for Long-Horizon Tasks

Agents combine reasoning with tools to interact with external systems and complete real-world tasks. Early agents typically interleave reasoning and actions along a single execution chain. On complex tasks, this chain becomes unreliable because growing histories obscure intermediate dependencies and allow early plannin...

Wei-Hao Mao, Zhi-Kai Chen, De-Chuan Zhan et al. · 0 citations
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
Preprint Aug 2026

ResiSpec: Enhancing Multi-Candidate Speculative Sampling via Residual Distribution Shaping

ResiSpec, a framework that strategically reforms the proposal distribution during verification to anchor the residual target mass within the draft model's high-confidence regions, prevents candidate obsolescence and achieves up to 1.92$\times$ speedup over state-of-the-art multi-candidate methods.

Zhi-Kai Chen, Jun Tao, Wei-Hao Mao et al. · 1 citation

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