Curating always-loaded context for LLM agents as a capacitated assortment problem with censored feedback
Read the original at arxiv.org→arXiv:2610.11007v1 Announce Type: new Abstract: At the start of every session, LLM agents load a fixed context file, such as $\texttt{AGENTS.md}$. Each loaded token in the file is charged again in every later round...
Original headline: "Curating Always-Loaded Context for LLM Agents: A Capacitated Assortment Model with Censored Feedback"
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- Oct 9, 04:00 UTC arXiv cs.AI lead source Curating Always-Loaded Context for LLM Agents: A Capacitated Assortment Model with Censored Feedback