arXiv Artificial Intelligence

Handover of In-Context Learning State Across Session Boundaries

2 hours ago 17.08.2026 07:00 👁 2 views
Handover of In-Context Learning State Across Session Boundaries

Quick summary

arXiv:2608.14528v1 Announce Type: new Abstract: This study investigates the methodological and theoretical properties of session handover in applications that use large language models. A task may continue in a new session when the context reaches the model's input limit, when the application restarts, or when another agent is asked to finish the task. The application must then decide which information from the earlier session to pass on. We formulate handover as the transfer of a task-relative in-context learning (ICL) state and distinguish exact recovery of earlier material from preservation

Key takeaways

  • arXiv:2608.14528v1 Announce Type: new Abstract: This study investigates the methodological and theoretical properties of session handover in applications that use large language models.
  • A task may continue in a new session when the context reaches the model's input limit, when the application restarts, or when another agent is asked to finish the task.
  • The application must then decide which information from the earlier session to pass on.

Why it matters

“Handover of In-Context Learning State Across Session Boundaries” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗