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Feng-Lin Liu

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#artificial intelligence Preprint Sep 2026

Rufus-Air: An Open LLM Post-Training Recipe

Rufus-Air is an open and reproducible post-training recipe on GLM-4.5-Air-Base (106B-A12B), organized as a serial pipeline of eight stages: SFT, Reasoning RL, Coding RL, Instruction-Following RL, General Agent, Coding Agent, Search Agent, and RLHF. We document the data, reward design, infrastructure, stage order, and s...

Chia-yuan Chang, Ren-Yuan Cheng, Rui Feng et al. · 0 citations
#artificial intelligence Preprint Aug 2026

AI Can Be Easily Persuaded in Clinical Decision Making

Findings suggest that AI can be easily persuaded by what people say, who says it, and how the opinion is presented, enabling its safe and reliable use in high stakes medical decision making.

Jia-Yuan Zhu, Jia-Zhen Pan, Feng-Lin Liu et al. · 0 citations
Jul 2026

J-CoT: Chain-of-Thought in J-Space

Under matched backbone and inference settings, J-CoT-Zero matches or exceeds the strongest evaluated latent-reasoning baseline on every benchmark, while J-CoT-Train obtains the highest score across the evaluated mathematical, scientific, coding, and structured path-reasoning tasks.

Jun-De Wu, Jiayuan Zhu, Feng-Lin Liu et al. · 1 citation

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