Third-party cyber evaluations involving OpenAI models
openai.com·14h ago
AI Research
arXiv CS.AI·May 27·5 min read
MemFail: Stress-Testing Failure Modes of LLM Memory Systems
TL;DR
LLM agents use external memory systems for long-term consistency, but existing benchmarks only report overall accuracy without revealing why failures occur. MemFail is a diagnostic benchmark that isolates specific failure modes in memory systems rather than treating them as black boxes.
✦ Why It Matters
Engineers can now diagnose specific memory system failures instead of guessing why LLM agents produce incorrect answers.
Key Takeaways
- Use MemFail to assess memory system reliability in LLMs.
- Identify specific failure modes in summarization, storage, and retrieval.
- Leverage empirical insights to improve memory architecture design.
- Test your models against adversarial datasets for better performance.
How It Works
MemFail formalizes memory systems into three operations: summarization, storage, and retrieval. Each operation is tested through adversarial datasets designed to expose weaknesses, allowing researchers to pinpoint where failures occur.