Author

Ren-Zhi Wang

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#artificial intelligence Jun 2026

Generative Retrieval via Diffusion Transformer with Metric-Ordered Sequence Training and Hybrid-Policy Preference Optimization

This work proposes MORPH: Generative Retrieval via Diffusion Transformer with Metric-Ordered Sequence Training and Hybrid-Policy Preference Optimization, a staged framework with large-scale raw-sequence pretraining, Metric-Ordered Sequence (MOS) training, and final HPPO alignment.

Chenghao Liu, Yu Zhang, Zhong-Tao Jiang et al. · arXiv.org · 0 citations

#artificial intelligence Preprint Aug 2026

MI-Distillation: Selecting from Model-Interpolated Instruct-Reasoning Data Spectrum for Chain-of-Thought Distillation

This work proposes MI-Distillation, a framework that constructs a continuous Instruct-Reasoning data spectrum through model interpolation, and introduces SeqLSS, which favors reasoning paths that are both informative and learnable for the student.

Yangsong Lan, Ren-Kai Hu, Hong-Kai Zheng et al. · 0 citations