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long-horizon LLM agents

topic1 events
papersTODAY 04:00 UTC

MemRiskBench Benchmark Targets Memory Risks in Long-Horizon LLM Agents

A new arXiv paper introduces MemRiskBench, an evaluation framework for long-horizon LLM agents that accumulate memory across sessions. It measures per-risk failure rates for issues such as stale facts, conflicting updates, cross-user data leakage, reuse of revoked memories, and decay of constraints, which aggregate scores tend to obscure. The work argues for trace-aware evaluation that preserves these distinct risk categories rather than collapsing them into a single number.

benchmark/agents/safety/memory