Skill documents are becoming the default adaptation surface for frozen large language model (LLM) agents, but current skill generators face two key limitations. First, humans and different LLMs differ in how they organize procedural knowledge and approach task solving. Skills authored from a human or single-model persp...
Kounianhua Du, Jian-Xing Liu, Ruoshui Shan et al.· 0 citations
ADWM (Autoregressive Diffusion World Model), an evaluation framework that estimates the performance of a new LLM agent policy purely from pre-collected trajectories, achieves accurate value estimates and evaluation reliability across diverse multi-turn agent tasks, demonstrating its promise as a practical framework for...
Kai Liu, Guo-Jun Xiong, Wei-Nan Zhang et al.· arXiv.org· 1 citation
Skill2Query is a framework that first parses a skill document into a Skill Knowledge Graph and then generates pseudo-queries through a three-stage process including style mimicking, query template generation, and parameter filling, which consistently improves sparse, dense, and skill-routing retrieval.
Lihui Ding, Zi-Han Guo, Bingwei Lu et al.· 2 citations
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