arXiv cs.CLPaper
RuleMem: Active Rule Memory for Long-Term Conversational Agents
Long-term memory in conversation has been mostly passive retrieval; RuleMem adds active rule induction to catch patterns across dialogue and apply them to future turns. It beats 14 baselines on established benchmarks, which is credible. If you're building conversational AI with multi-turn context or memory, this approach to structuring dialogue history is worth testing. The method is practical and the evaluation is thorough.