papers
Publications (7)
cs.AI2026
Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns
Xuemiao Zhang, Can Ren, Chengying Tu +5
cs.DS2018
Efficient Learning of Optimal Markov Network Topology with k-Tree Modeling
Liang Ding, Di Chang, Russell Malmberg +5
cs.IR2015
A General SIMD-based Approach to Accelerating Compression Algorithms
Wayne Xin Zhao, Xudong Zhang, Daniel Lemire +4
cs.CL2025
Large-Scale Diverse Synthesis for Mid-Training
Xuemiao Zhang, Chengying Tu, Can Ren +4
cs.CL2025
LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points
Xuemiao Zhang, Can Ren, Chengying Tu +4
q-fin.ST2017
Stock Prediction: a method based on extraction of news features and recurrent neural networks
Zeya Zhang, Weizheng Chen, Hongfei Yan
cs.CL2025
A Survey on LLM Mid-Training
Chengying Tu, Xuemiao Zhang, Rongxiang Weng +6