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📄 ResearchMay 14, 2026

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations

Large Language Model (LLM) agents increasingly serve as personal assistants and workplace collaborators, where their utility depends on memory systems that extract, retrieve, and apply information across long-running conversations. However, both existing memory systems and benchmarks are built aroun...

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Source

http://arxiv.org/abs/2605.14498v1