1 citations · 1 across the 6 of their papers we have counts for
6 papers
RuleMem: Active Rule Memory for Long-Term Conversational Agents
Xingyuan Zeng, Zuohan Wu, Quanming Yao +5
Question answering agents in long-term conversations must reason over massive, temporally dispersed dialogue histories. However, existing memory mechanisms primarily treat past inf…
Falsifiable Commitment Planning for Self-Correcting Web Agents
Guangyi Liu, Huan Zhao, Quanming Yao
Long-horizon web agents often go off track before final failure: a trajectory can remain locally plausible even after the current state, reused skill, or plan assumption no longer…
DA-RAG: Dynamic Attributed Community Search for Retrieval-Augmented Generation
Xingyuan Zeng, Zuohan Wu, Yue Wang +4
Owing to their unprecedented comprehension capabilities, large language models (LLMs) have become indispensable components of modern web search engines. From a technical perspectiv…
MAS-on-the-Fly: In-Context Structural Adaptation of LLM-Based Multi-Agent Systems
Guangyi Liu, Haojun Lin, Huan Zeng +2
Large Language Model (LLM)-based multi-agent systems (MAS) have emerged as a promising paradigm for complex tasks. However, existing works often rely on manual designs or "one-size…
Reflective Paper-to-Code Reproduction Enabled by Fine-Grained Verification
Mingyang Zhou, Quanming Yao, Lun Du +2
Reproducing machine learning papers is essential for scientific progress but remains challenging for both humans and automated agents. Existing agent-based methods often struggle t…
Towards Versatile Graph Learning Approach: from the Perspective of Large Language Models
Lanning Wei, Jun Gao, Huan Zhao +1
Graph-structured data are the commonly used and have wide application scenarios in the real world. For these diverse applications, the vast variety of learning tasks, graph domains…