Xuemiao Zhang

According to our database, Xuemiao Zhang authored at least 18 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A Survey on LLM Mid-training.

Chengying Tu, Xuemiao Zhang, Rongxiang Weng, Rumei Li, Chen Zhang, Yang Bai, Hongfei Yan, Jingang Wang, Xunliang Cai

CoRR, October, 2025

Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns.

Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Shuo Wang, Hongfei Yan, Jingang Wang, Xunliang Cai

CoRR, September, 2025

Large-Scale Diverse Synthesis for Mid-Training.

Xuemiao Zhang, Chengying Tu, Can Ren, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai

CoRR, August, 2025

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points.

Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai

CoRR, August, 2025

FIRE: Flexible Integration of Data Quality Ratings for Effective Pre-Training.

Liangyu Xu, Xuemiao Zhang, Feiyu Duan, Sirui Wang, Jingang Wang, Xunliang Cai

CoRR, February, 2025

Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data.

Xuemiao Zhang, Liangyu Xu, Feiyu Duan, Yongwei Zhou, Sirui Wang, Jingang Wang, Xunliang Cai

CoRR, January, 2025

FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining.

Liangyu Xu, Xuemiao Zhang, Feiyu Duan, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data.

Xuemiao Zhang, Liangyu Xu, Feiyu Duan, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai

Proceedings of the Findings of the Association for Computational Linguistics, 2025

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy.

Xuemiao Zhang, Feiyu Duan, Liangyu Xu, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Enhancing LLMs via High-Knowledge Data Selection.

Feiyu Duan, Xuemiao Zhang, Sirui Wang, Haoran Que, Yuqi Liu, Wenge Rong, Xunliang Cai

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Adaptive semi-supervised learning from stronger augmentation transformations of discrete text information.

Xuemiao Zhang, Zhouxing Tan, Fengyu Lu, Rui Yan, Junfei Liu

Knowl. Inf. Syst., August, 2024

2023

Adaptively Multi-Objective Adversarial Training for Medical Image Report Generation.

Xuemiao Zhang, Junfei Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Adversarial Training with Comprehensive Objective for Medical Image Report Generation.

Xuemiao Zhang, Junfei Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Adaptive Semi-Supervised Learning from Stronger Augmented Transformations of Medical Texts.

Xuemiao Zhang, Junfei Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

2020

Knowledge-embodied attention for distantly supervised relation extraction.

Kejun Deng, Xuemiao Zhang, Songtao Ye, Junfei Liu

Intell. Data Anal., 2020

Adaptively Multi-Objective Adversarial Training for Dialogue Generation.

Xuemiao Zhang, Zhouxing Tan, Xiaoning Zhang, Yang Cao, Rui Yan

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension.

Xuemiao Zhang, Kun Zhou, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Junfei Liu

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Knowledge-Aware and Retrieval-Based Models for Distantly Supervised Relation Extraction.

Xuemiao Zhang, Kejun Deng, Leilei Zhang, Zhouxing Tan, Junfei Liu

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019