Work

GAM: Hierarchical Graph-based Agentic Memory for LLM Agents

Year: 2026

Type: conference-paper

Abstract: Zhaofen Wu, Hanrong Zhang, Fulin Lin, Wujiang Xu, Xinran Xu, Yankai Chen, Henry Peng Zou, Shaowen Chen, Weizhi Zhang, Xue Liu, Philip S. Yu, Hongwei Wang. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.18653/v1/2026.acl-long.1600

Authors: Zhaofen Wu, Hanrong Zhang, Fulin Lin, Wujiang Xu, Xinran Xu, Yankai Chen, Henry Peng Zou, Shaowen Chen, Weizhi Zhang, Xue Liu, Philip S. Yu, Hongwei Wang

Institutions: Zhejiang University, University of Illinois Chicago, Rutgers, The State University of New Jersey, Mohamed bin Zayed University of Artificial Intelligence, McGill University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funders: National Science Foundation, National Natural Science Foundation of China, National Key Research and Development Program of China

Awards: G1200806771, NSF POSE: Phase II: OpenAD: An Integrated Open-Source Ecosystem for Anomaly Detection, G2644764016, III: Medium: Collaborative Research: Self-Supervised Recommender System Learning with Application Specific Adaption, G584828216, G5903445664

OpenAlex ID: W7166845515

FWCI: 8.935

Cites:

Cited by: 1

Related to: 10