Ao Tian — accepted AI-conference papers

2026

DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA

Changhao Wang, Yanfang Liu, Xinxin Fan, Lanzhi Zhou, Ao Tian, Yunfeng Lu

ICML 2026poster

Multi-hop reasoning for question answering (QA) plays a critical role in retrieval-augmented generation (RAG) for large language models (LLMs). Based on inherent relation-dependency and reasoning patterns, it is categorized into parallel fact-verification (simultaneously verifying independent sub-qu…

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2026

RGMem: Renormalization Group–inspired Memory Evolution for Language Agents

Ao Tian, Yunfeng Lu, Xinxin Fan, Changhao Wang, Lanzhi Zhou, Yeyao Zhang +1

ICML 2026poster

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, cross-session user states. Existing approaches, including retrieval-augmented generation and explicit memory systems, p…

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