arxiv
PublishedSeptember 4, 2026 at 4:00 AM
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When Users Don't Ask: Benchmarking Context-Driven Memory Retrieval in Conversational Agents
Publisher summary· verbatim
arXiv:2609.03467v1 Announce Type: cross Abstract: Large language models (LLMs) are increas- ingly deployed as long-horizon conversational agents, motivating growing interest in mem- ory systems. However, existing benchmarks primarily evaluate memory through QA-style probing rather than in-situ conve
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Originally published on arxiv ↗