From Profiling to Synthesis: Benchmarking Implicit Behavioral Alignment in Personalized LLM Agents
IBA-Bench is introduced, a benchmark for implicit behavioral alignment constructed from longitudinal interaction histories that contain noise, implicit cues, and temporal inconsistencies, and the proposed IBA-Agent is proposed, an agent framework that reconciles conflicting priorities through broad retrieval and trajectory-level alignment.