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Home/Authors/Baohua Dong

Baohua Dong

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

NLP×2AI×2ML×2Multiagent×1Multimedia×1

Frequent co-authors

Jizhan Fang2×
Buqiang Xu2×
Haoliang Cao2×
Xinle Deng2×
Hangcheng Zhu2×
Ningyu Zhang2×

Research Timeline

2026
Rethinking Memory as Continuously Evolving Connectivity

The paper proposes FluxMem, a novel connectivity-evolving memory framework that models memory as a dynamic graph to improve LLM agent performance in complex, changing environments.

MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems

The paper introduces MemTrace, a framework that treats LLM memory pipelines as traceable graphs to systematically diagnose and automatically correct memory-related errors, boosting performance by up to 7.62%.

Highlighted terms show continued research focus across papers

Papers

cs.CLcs.AIcs.LGRecentMay 27, 2026

Rethinking Memory as Continuously Evolving Connectivity

Jizhan Fang, Buqiang Xu, Zhixian Wang, Haoliang Cao +11 more

The paper proposes FluxMem, a novel connectivity-evolving memory framework that models memory as a dynamic graph to improve LLM agent performance in complex, changing environments.

View →
cs.CLcs.AIcs.LGRecentMay 27, 2026

MemTrace: Tracing and Attributing Errors in Large Language Model Memory Systems

Xinle Deng, Ruobin Zhong, Hujin Peng, Xiaoben Lu +14 more

The paper introduces MemTrace, a framework that treats LLM memory pipelines as traceable graphs to systematically diagnose and automatically correct memory-related errors, boosting performance by up t…

View →