Takahide Kato

Handover of In-Context Learning State Across Session Boundaries

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 applicati...