Entity · technique

long-context LLMs

techniqueactivelong-context-llms-e8617074·1 events·first seen May 19, 2026

Aliases: long-context LLMs

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LongMINT Retrieval-Augmented Generation memory-augmented agent frameworks

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open-source LLMs Arabic LLMs LLM inference LLM CLI StreamingLLM Extending LLM Context via Associative Recurrent Memory LLM (CLI tool)LLM code synthesis LLMs A sleep-like consolidation mechanism for LLMs EvalLLM vLLM

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6arXiv · cs.CL·May 19, 2026·source ↗

LongMINT: Benchmark for Evaluating Memory Under Multi-Target Interference in Long-Horizon Agent Systems

LongMINT is a new benchmark designed to evaluate memory-augmented agents in realistic long-horizon settings where information is repeatedly updated and interferes across memories. It contains 15.6k QA pairs over contexts averaging 138.8k tokens (up to 1.8M tokens), spanning domains including state tracking, multi-turn dialogue, Wikipedia revisions, and GitHub commits. Evaluation of 7 representative systems—including vanilla long-context LLMs, RAG, and memory-augmented agent frameworks—reveals consistently low average accuracy of 27.9%, with performance particularly degraded on multi-target aggregation tasks and when earlier facts are revised by subsequent context. The analysis identifies retrieval and memory construction as the primary bottlenecks.

Long Context Evolution Evaluation and Benchmarking LongMINT Retrieval-Augmented Generation long-context LLMs +2 more