Author

Hong Liu

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Jul 2026

Class‐Imbalance‐Aware Adaptive Dataset Distillation for Scalable Pretrained Model in Credit Scoring

A novel framework that combines a tabular‐tailored dataset distillation technique with a pretrained model is proposed, thereby improving the scalability of TabPFN and demonstrating that imbalance‐aware dataset distillation provides a compact yet accurate solution for imbalanced credit scoring.

Xia Li, Hanghang Zheng, Xi-Wei Zhuang et al. · Intelligent Systems in Accou... · 0 citations

#machine learning Preprint Aug 2026

HARTS: Efficient Agentic Reinforcement Learning for Hybrid-Attention Models over Arbitrary Rollout Trees

HARTS is the first system to demonstrate arbitrary-rollout-tree prefix-sharing speedups on a real hybrid-attention model, and its numerical differences are comparable to baseline self-rerun variation, and its reward trend is similar to the baseline over the first 120 steps of SWE-bench training.

Bo-Yuan Meng, Pei-Hua Bao, Hong Liu et al. · 0 citations