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Home/Authors/Jongryool Kim

Jongryool Kim

2 indexed papers

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

Publications per year

2
26

Top categories

AI×2ML×2

Frequent co-authors

Donghwan Kim2×
Prakhar Singh2×
Younghoon Min2×
Jongse Park2×
Kiwan Maeng2×

Research Timeline

2026
Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation

The paper introduces GAIATrace, a comprehensive token-level dataset, and Vidur-Agent, a simulator, to enable reproducible and detailed system-level characterization of complex multi-model agentic AI systems.

Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation

The paper introduces GAIATrace, a comprehensive token-level dataset, and Vidur-Agent, a simulator, to enable reproducible and detailed system-level characterization of complex multi-model agentic AI systems.

Highlighted terms show continued research focus across papers

Papers

cs.AIcs.LGRecentJun 1, 2026

Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation

Donghwan Kim, Prakhar Singh, Younghoon Min, Jongryool Kim +2 more

The paper introduces GAIATrace, a comprehensive token-level dataset, and Vidur-Agent, a simulator, to enable reproducible and detailed system-level characterization of complex multi-model agentic AI s…

View →
cs.AIcs.LGRecentJun 1, 2026

Characterization of Multi-Model Agentic AI Systems on General Tasks via Trace-Driven Simulation

Donghwan Kim, Prakhar Singh, Younghoon Min, Jongryool Kim +2 more

The paper introduces GAIATrace, a comprehensive token-level dataset, and Vidur-Agent, a simulator, to enable reproducible and detailed system-level characterization of complex multi-model agentic AI s…

View →