SPIN Unprocessed October 27, 2026 ai_technology research
SLICE-Mem: Salience-Gated Lightweight Information Curation for Efficient LLM Agent Memory
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arXiv:2610.33015v1 Announce Type: new Abstract: Long-term memory enables large language model (LLM) agents to maintain personalized and temporally coherent interactions, but repeated LLM inference for memory admission, extraction, and organization introduces substantial cost and latency. We present SLICE-Mem, a lightweight memory framework that combines salience-guided admission and predicate-centered information extraction. A compact classifier identifies user turns worth retaining, and a seman
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