2 papers
cs.AI2026
RGMem: Renormalization Group-inspired Memory Evolution for Language Agents
Ao Tian, Yunfeng Lu, Xinxin Fan +4
Personalized and continuous interactions are critical for LLM-based conversational agents, yet finite context windows and static parametric memory hinder the modeling of long-term,…
cs.AI2026
DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA
Changhao Wang, Yanfang Liu, Xinxin Fan +3
Multi-hop reasoning for question answering (QA) plays a critical role in retrieval-augmented generation (RAG) for modern large language models (LLMs). The accurate answer can be ob…