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Home/Authors/Bo Jin

Bo Jin

2 indexed papers

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

Publications per year

2
26

Top categories

AI×2Multiagent×1ML×1Optimization and Control×1

Frequent co-authors

Wenwu Li1×
Yuran Song1×
Mingze Zhao1×
Wenhao Li1×
Ruoran Xu1×
Borong She1×

Research Timeline

2026
Unifying Temporal and Structural Credit Assignment in LLM-Based Multi-Agent Prompt Optimization

The paper proposes a novel temporal and structural credit assignment framework to efficiently optimize multi-agent LLM systems by decomposing the error signal and using targeted, discrete gradient updates.

Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smooth Optimization

The paper introduces Singularity-aware Adam (S-Adam), a novel optimizer that stabilizes deep learning training in non-smooth loss landscapes by dynamically damping updates based on local geometric instability.

Highlighted terms show continued research focus across papers

Papers

cs.MAcs.AIRecentMay 28, 2026

Unifying Temporal and Structural Credit Assignment in LLM-Based Multi-Agent Prompt Optimization

Wenwu Li, Yuran Song, Mingze Zhao, Bo Jin +1 more

The paper proposes a novel temporal and structural credit assignment framework to efficiently optimize multi-agent LLM systems by decomposing the error signal and using targeted, discrete gradient upd…

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cs.LGcs.AImath.OCRecentMay 28, 2026

Singularity-aware Optimization via Randomized Geometric Probing: Towards Stable Non-smooth Optimization

Ruoran Xu, Borong She, Xiaobo Jin, Qiufeng Wang

The paper introduces Singularity-aware Adam (S-Adam), a novel optimizer that stabilizes deep learning training in non-smooth loss landscapes by dynamically damping updates based on local geometric ins…

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