A research paper from Tinycloud explores how the representation of skills impacts their discovery and routing within a multimodal agent harness. The study, conducted on a production system, contrasts in-context selection with embedding-based retrieval, examining two skill representations: tool-skills for external APIs and workflow-skills for orchestrating multiple calls. An ablation study revealed that while full skill exposure leads to optimal selection, partial exposure can cause lexical competition, hindering correct routing. AI
IMPACT This research offers insights into optimizing skill discovery and routing for multimodal agents, potentially improving their efficiency and accuracy.
RANK_REASON The cluster contains a research paper published on arXiv. [lever_c_demoted from research: ic=1 ai=1.0]
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