Memory Retrieval for Changing Preferences

In three linesUnified framework for memory access and selection in long-context dialogue systems. Uses Bayes factor to quantify utility of historical turns by measuring likelihood improvement of reference responses. Outperforms embedding-based retrieval on four benchmarks, especially for preference-intensive tasks with changing user preferences.

Summary generated by Claude — human-verified