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Xuemiao Zhang
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2020 – today
- 2025
- [c9]Feiyu Duan, Xuemiao Zhang, Sirui Wang, Haoran Que, Yuqi Liu, Wenge Rong, Xunliang Cai:
Enhancing LLMs via High-Knowledge Data Selection. AAAI 2025: 23832-23840 - [c8]Xuemiao Zhang, Feiyu Duan, Liangyu Xu, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai:
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy. ACL (Findings) 2025: 20278-20297 - [c7]Xuemiao Zhang, Liangyu Xu, Feiyu Duan, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai:
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data. ACL (Findings) 2025: 21181-21198 - [i8]Xuemiao Zhang, Liangyu Xu, Feiyu Duan, Yongwei Zhou, Sirui Wang, Jingang Wang, Xunliang Cai:
Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data. CoRR abs/2501.13126 (2025) - [i7]Liangyu Xu, Xuemiao Zhang, Feiyu Duan, Sirui Wang, Jingang Wang, Xunliang Cai:
FIRE: Flexible Integration of Data Quality Ratings for Effective Pre-Training. CoRR abs/2502.00761 (2025) - [i6]Xuemiao Zhang, Feiyu Duan, Liangyu Xu, Yongwei Zhou, Sirui Wang, Rongxiang Weng, Jingang Wang, Xunliang Cai:
FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy. CoRR abs/2502.05551 (2025) - [i5]Feiyu Duan, Xuemiao Zhang, Sirui Wang, Haoran Que, Yuqi Liu, Wenge Rong, Xunliang Cai:
Enhancing LLMs via High-Knowledge Data Selection. CoRR abs/2505.14070 (2025) - [i4]Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai:
LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points. CoRR abs/2508.01317 (2025) - [i3]Xuemiao Zhang, Chengying Tu, Can Ren, Rongxiang Weng, Hongfei Yan, Jingang Wang, Xunliang Cai:
Large-Scale Diverse Synthesis for Mid-Training. CoRR abs/2508.01326 (2025) - [i2]Meituan LongCat Team, Anchun Gui, Bei Li, Bingyang Tao, Bole Zhou, Borun Chen, Chao Zhang, Chengcheng Han, Chenhui Yang, Chi Zhang, Chong Peng, Chuyu Zhang, Cong Chen, Fengcun Li, Gang Xu, Guoyuan Lin, Hao Jiang, Hao Liang, Haomin Fu, Haoxiang Ma, Hong Liu, Hongyan Hao, Hongyin Tang, Hongyu Zang, Hongzhi Ni, Hui Su, Jiahao Liu, Jiahuan Li, Jialin Liu, Jianfei Zhang, Jianhao Xu, Jianing Wang, Jiaqi Sun, Jiaqi Zhang, Jiarong Shi, Jiawei Yang, Jingang Wang, Jinrui Ding, Jun Kuang, Jun Xu, Ke He, Kefeng Zhang, Keheng Wang, Keqing He, Li Wei, Liang Shi, Lin Qiu, Lingbin Kong, Lingchuan Liu, Linsen Guo, Longfei An, Mai Xia, Meng Zhou, Mengshen Zhu, Peng Pei, Pengcheng Jia, Qi Gu, Qi Guo, Qiong Huang, Quan Chen, Quanchi Weng, Rongxiang Weng, Ruichen Shao, Rumei Li, Shanglin Lei, Shuai Du, Shuaikang Liu, Shuang Zhou, Shuhao Hu, Siyu Xu, Songshan Gong, Tao Liang, Tianhao Hu, Wei He, Wei Shi, Wei Wang, Wei Wu, Wei Zhuo, Weifeng Tang, Wenjie Shi, Wenlong Zhu, Xi Su, Xiangcheng Liu, Xiangyu Xi, Xiangzhou Huang, Xiao Liu, Xiaochen Jiang, Xiaowei Shi, Xiaowen Shi, Xiaoyu Li, Xin Chen, Xinyue Zhao, Xuan Huang, Xuemiao Zhang, Xuezhi Cao, Xunliang Cai, Yajie Zhang, Yang Chen, Yang Liu:
LongCat-Flash-Thinking Technical Report. CoRR abs/2509.18883 (2025) - [i1]Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Shuo Wang, Hongfei Yan, Jingang Wang, Xunliang Cai:
Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns. CoRR abs/2509.21124 (2025) - 2024
- [j2]Xuemiao Zhang, Zhouxing Tan, Fengyu Lu, Rui Yan, Junfei Liu:
Adaptive semi-supervised learning from stronger augmentation transformations of discrete text information. Knowl. Inf. Syst. 66(8): 4609-4629 (2024) - 2023
- [c6]Xuemiao Zhang, Junfei Liu:
Adaptive Semi-Supervised Learning from Stronger Augmented Transformations of Medical Texts. BIBM 2023: 965-968 - [c5]Xuemiao Zhang, Junfei Liu:
Adversarial Training with Comprehensive Objective for Medical Image Report Generation. BIBM 2023: 2352-2357 - [c4]Xuemiao Zhang, Junfei Liu:
Adaptively Multi-Objective Adversarial Training for Medical Image Report Generation. BIBM 2023: 2358-2363 - 2020
- [j1]Kejun Deng, Xuemiao Zhang, Songtao Ye, Junfei Liu:
Knowledge-embodied attention for distantly supervised relation extraction. Intell. Data Anal. 24(2): 445-457 (2020) - [c3]Xuemiao Zhang, Kun Zhou, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang, Junfei Liu:
Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension. COLING 2020: 2624-2634 - [c2]Xuemiao Zhang, Zhouxing Tan, Xiaoning Zhang, Yang Cao, Rui Yan:
Adaptively Multi-Objective Adversarial Training for Dialogue Generation. IJCAI 2020: 2872-2878
2010 – 2019
- 2019
- [c1]Xuemiao Zhang, Kejun Deng, Leilei Zhang, Zhouxing Tan, Junfei Liu:
Knowledge-Aware and Retrieval-Based Models for Distantly Supervised Relation Extraction. PRICAI (1) 2019: 148-161
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last updated on 2025-10-19 21:53 CEST by the dblp team
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