arxiv
PublishedOctober 15, 2026 at 4:00 AM
CB-Agent: Concept-Based In-Context Learning for Sequential Action Selection
Publisher summary· verbatim
arXiv:2610.14574v1 Announce Type: new Abstract: In-context learning (ICL) allows large language models to use demonstrations without updating their parameters. For interactive agents, demonstrations are trajectories of reasoning, actions, and observations that illustrate how to complete a task. Reus
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Originally published on arxiv ↗