AINeutralarXiv – CS AI · Mar 36/104
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AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations
Researchers introduce AMemGym, an interactive benchmarking environment for evaluating and optimizing memory management in long-horizon conversations with AI assistants. The framework addresses limitations in current memory evaluation methods by enabling on-policy testing with LLM-simulated users and revealing performance gaps in existing memory systems like RAG and long-context LLMs.