[ICLR 2026] Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
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Updated
Aug 31, 2026 - Python
[ICLR 2026] Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
First-Person Agent Memory Bench. 10 Categories including fact recall, multi-hop links, temporal reasoning, fact overwrites, speaker traps, refusal, credibility, and agentic tool usage. 540K token / 60 session corpus, all in first person. Dynamic output-answer-key portion. Comprehensive report with visuals and miss breakdown.
Reduce web pages to clean text before they reach your AI agent’s context window, saving tokens and cutting noise
Long-term memory for AI assistants: BEAM-1M 76.83 (official evaluator) and LongMemEval-S 91.40%, with proof packages and one-minute verifiers
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