atlas

Research map / Large language models / Reasoning and chain of thought

MEMAUDIT: An Exact Package-Oracle Evaluation Protocol for Budgeted Long-Term LLM Memory Writing

NeurIPS 2026 · Large language models › Reasoning and chain of thought · approach: Efficient LLM serving · 0 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's full text. Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Proposes MemAudit, an exact package-oracle protocol that scores LLM memory writers against a certified budgeted optimum over a finite candidate set of memory representations with concave-over-modular semantic coverage.

Problem

Existing LLM memory evaluations measure only end-to-end QA accuracy, which entangles memory writing with retrieval and reader reasoning, so write-time memory quality cannot be isolated.

Approach

Turn write-time memory selection into a finite knapsack-plus-partition-matroid optimization over experience-representation choices with a monotone submodular semantic coverage objective, certify the optimum via branch-and-bound and MILP, and score external systems (Mem0, A-Mem, Letta) under a union denominator.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: LongMemEval-S Natural-87 (support-slice package from LongMemEval-style data) MemSim-Small synthetic packages

Benchmarks: MemAudit-Small exact packages MemAudit validity-heavy stress packages Natural-87 LongMemEval-S

Metrics: package ratio to OPT union ratio upper-pruned bound Cohen's kappa invalidation coverage token-F1

Baselines: GVT density-only recency raw fact-only summary-only Mem0 A-Mem Letta

Builds on: MemSim/MemDaily LongMemEval Mem0 A-Mem Letta

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy