RuleMem: Active Rule Memory for Long-Term Conversational Agents

arXiv:2609.03915 · cs.CL, cs.IR · Submitted 2026-09-03 · Read on arXiv

cs.CL, cs.IR

Submitted: 2026-09-03

Updated: 2026-09-03

Terminology

• RAG — 16× in this paper · explained in 3 episodes
• Consistency — 12× in this paper · explained in 3 episodes
• Accuracy — 10× in this paper · explained in 1 episode
• Perplexity — 9× in this paper · explained in 3 episodes
• Abstraction — 8× in this paper · explained in 1 episode
• Knowledge Graph — 8× in this paper · explained in 7 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Hallucination — 5× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation — 5× in this paper
• Agent Memory — 4× in this paper · explained in 1 episode
• Semantic Gap — 4× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Knowledge graphs — 3× in this paper · explained in 2 episodes
• AI Agents — 2× in this paper · explained in 2 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Generalizability — 2× in this paper · explained in 6 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Continual Learning — 1× in this paper · explained in 2 episodes
• Dynamic Adaptation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• F1 Score — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Reasoning Traces — 1× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 16 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Rule Perplexity Consistency — 1× in this paper
• Self-consistency — 1× in this paper · explained in 2 episodes
• Transferability — 1× in this paper · explained in 4 episodes

Sources

• CommunityKG-RAG: Leveraging Community Structures in Knowledge Graphs for Advanced Retrieval-Augmented Generation in Fact-Checking
• From Local to Global: A Graph RAG Approach to Query-Focused Summarization
• Retrieval-Augmented Generation for Large Language Models: A Survey
• REALM: Retrieval-Augmented Language Model Pre-Training
• Memory in the Age of AI Agents
• Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions
• A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions
• RET-LLM: Towards a General Read-Write Memory for Large Language Models
• MemGPT: Towards LLMs as Operating Systems
• Zep: A Temporal Knowledge Graph Architecture for Agent Memory
• RGMem: Renormalization Group-inspired Memory Evolution for Language Agents
• ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation
• Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
• HGMEM: Hypergraph-based Working Memory to Improve Multi-step RAG for Long-Context Complex Relational Modeling

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