most citedTrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization

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cs.LG2026

Mitigating LLM sycophancy with RL-based fine-tuning: Bayesian Truth Serum approach

Serhii Mytsyk, Yiming Zhang, Vikram Krishnamurthy

Large language models (LLMs) frequently exhibit \emph{sycophancy}: they adapt their answers to a user's stated beliefs or preferences instead of reporting what they hold to be true…

cs.LG2025★ 1 cited

TrafficKAN-GCN: Graph Convolutional-based Kolmogorov-Arnold Network for Traffic Flow Optimization

Jiayi Zhang, Yiming Zhang, Yuan Zheng +5

Urban traffic optimization is critical for improving transportation efficiency and alleviating congestion, particularly in large-scale dynamic networks. Traditional methods, such a…