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Byung-Jun Yoon

2 papers indexed

arxivcs.LGcs.AI2026-07-17

When Do Multi-Agent Systems Help? An Information Bottleneck Perspective

Wendi Yu, Lianhao Zhou, Xiangjue Dong, Sai Sudarshan Barath, Declan Staunton, Byung-Jun Yoon, et al.

LLM powered multi-agent systems (MAS) have emerged as a promising paradigm for complex tasks. However, their advantages over single-agent systems (SAS) remain unclear, with performance varying inconsistently across settings. Here, we provide an information bottleneck perspective…

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arxivq-bio.QMcs.AIcs.CL2026-07-17

Auditing Retrieval-Augmented LLM Hypotheses for Longitudinal Cell Painting Morphology

Gilchan Park, Guang Zhao, Byung-Jun Yoon, Shinjae Yoo

High-content morphological profiling (Cell Painting) yields sensitive, high-dimensional signatures of cellular state, but translating longitudinal morphology trajectories into interpretable biology remains difficult, especially for weak, chronic perturbations such as low-dose-rat…

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