Published on Sep 5 · Submitted by Franck Dernoncourt on Sep 14 Abstract Diverse Skill Routing improves LLM agent skill selection by balancing relevance with non-redundancy via a determinantal point process, boosting multi-skill coverage. Large language model (LLM) agents increasingly rely on external skills, but routing user requests over large skill registries is difficult because many skills are functionally redundant while complex tasks often require complementary skill sets.
