Poster · Paris

δ-Mem: : Efficient Online Memory For Large Language Models

Name: δ-Mem: : Efficient Online Memory For Large Language Models
Start: 2026-12-09T12:30:00+01:00
End: 2026-12-09T14:30:00+01:00
Location: Paris Poster Hall, Paris

When: Wed 9 Dec 2026, 12:30–14:30 CET
Where: Paris Poster Hall
Session: Paris Poster Session 1
Authors: Jingdi Lei, Di Zhang, Junxian Li, Weida Wang, Kaixuan Fan, Xiang Liu, Qihan Liu, Xiaoteng Ma, Baian Chen, Soujanya Poria
Organisations: Nanyang Technological University, Shanghai AI Laboratory, Shanghai Jiao Tong University, Fudan University, The Chinese University of Hong Kong, Hong Kong University of Science and Technology, Tsinghua University, Massachusetts Institute of Technology
QRS classification: Language models

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