When Users Don't Ask: Benchmarking Context-Driven Memory Retrieval in Conversational Agents
arXiv:2609.03467v2 Announce Type: replace-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…