This paper develops a new method for optimizing skills for Large Language Model (LLM) agents, using a graph-structured representation that provides clearer workflow-level guidance and enables more effective exploration of the skill space. Practitioners might care because this approach can improve the performance of LLM agents in various tasks.
Firehose
Filtered to Papers, tagged “natural-language artifacts” · clear filters
Browse: People · Companies · Papers · Podcasts · Hacker News · Deep dives