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Paper

GroupMemBench: Benchmarking LLM Agent Memory in Multi-Party Conversations

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AI summary

arXiv:2605. 14498v1 Announce Type: new Abstract: 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.