Does Memory Need Graphs? A Unified Framework and Empirical Analysis for Long-Term Dialog Memory
Sen Hu · YUXIANG WEI · Jiaxin Ran · Xueran Han · Zhiyuan Yao · Huacan Wang · Ronghao Chen · Lei Zou
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Sen Hu · YUXIANG WEI · Jiaxin Ran · Xueran Han · Zhiyuan Yao · Huacan Wang · Ronghao Chen · Lei Zou
Sen Hu · Zhiyu Zhang · YUXIANG WEI · Xueran Han · Zhenheng Tang · Ronghao Chen · Huacan Wang
AI Clones aim to simulate an individual’s thoughts and behaviors to enable long-term, personalized interaction, placing stringent demands on memory systems to model experiences, emotions, and opinions over time. Existing memory benchmarks primarily rely on user–agent conversational histories, whi...
Haonan Bian · Zhiyuan Yao · Sen Hu · Zishan Xu · Shaolei Zhang · Yifu Guo · Ziliang Yang · Xueran Han · Huacan Wang · Ronghao Chen
As Large Language Models (LLMs) evolve from static dialogue interfaces to autonomous general agents, effective memory is paramount to ensuring long-term consistency. However, existing benchmarks primarily focus on casual conversation or task-oriented dialogue, failing to capture “long-term projec...
Xueran Han · Yuhan Liu · Mingzhe Li · WEI LIU · Sen Hu · Rui Yan · Zhiqiang Xu · Xiuying Chen
Great novels create immersive worlds with rich character arcs, well-structured plots, and nuanced writing styles. However, current novel generation methods often rely on brief, simplistic story outlines and generate details using plain, generic language.To bridge this gap, we introduce the task o...