{
  "schema_version": "1.0",
  "title": "MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems",
  "emoji": "M",
  "space_id": "snaykey/repro-memorybench",
  "paper": {
    "arxiv_id": "2510.17281",
    "openreview_id": "If4X4W2HWx"
  },
  "tags": [
    "icml2026-repro",
    "paper-If4X4W2HWx"
  ],
  "updated_at": "2026-07-29T16:50:47.378234+00:00",
  "root": {
    "slug": "index",
    "title": "MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems",
    "children": [
      {
        "slug": "executive-summary",
        "title": "Executive summary",
        "children": []
      },
      {
        "slug": "claim-1-three-module-framework",
        "title": "MemoryBench provides a three-module framework with a task provider, user simulator, and performance monitor for testing LLM-system continual learning from feedback logs (Figure 1)",
        "children": []
      },
      {
        "slug": "claim-2-dataset-coverage",
        "title": "MemoryBench covers 11 public datasets across three domains, four task-format categories, and two languages (Table 2)",
        "children": []
      },
      {
        "slug": "claim-3-memory-feedback-taxonomy",
        "title": "The benchmark includes both declarative/procedural memory and explicit/implicit feedback categories absent from prior memory benchmarks (Table 1)",
        "children": []
      },
      {
        "slug": "claim-4-advanced-memory-vs-rag",
        "title": "Off-policy results show that advanced memory systems such as A-Mem, Mem0, and MemoryOS do not consistently outperform simpler RAG baselines (Figure 2)",
        "children": []
      },
      {
        "slug": "claim-5-efficiency-costs",
        "title": "Efficiency measurements show large and inconsistent memory-operation and prediction-time costs for existing memory-based LLM systems (Figure 3)",
        "children": []
      },
      {
        "slug": "claim-6-feedback-ab",
        "title": "Comparisons with and without feedback show simulated user feedback can improve model performance on task-specific metrics (Table 11)",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "Conclusion",
        "children": []
      }
    ]
  },
  "revision": 1
}