Retrieval-Driven Memory Reconsolidation for Long-Term LLM Agents
Long-term memory is essential for LLM-based agents operating over extended interactions. Existing memory systems primarily update memory when new information arrives, treating retrieval as the endpoint of memory access rather than a driver of memory evolution. Consequently, retrieval feedback is rarely exploited to reo...
Yuan-Yi Song, Yukai Wang, Xinbei Ma et al.
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