Curating Always-Loaded Context for LLM Agents: A Capacitated Assortment Model with Censored Feedback
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 of the session, and these files can degrade performance as they grow in size. Howeve…
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- 2026-10-09 04:00 · arXiv cs.AI
Curating Always-Loaded Context for LLM Agents: A Capacitated Assortment Model with Censored Feedback