Xingxing Zhang

Senior Researcher

Publications

Afficher par:

- Native Hybrid Thinking Models
  
  Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- Scaling Laws of Synthetic Data for Language Models
  
  Zeyu Qin, Qingxiu Dong, Xingxing Zhang, Li Dong, Xiaolong Huang, Ziyi Yang, Mahmoud Khademi, Dongdong Zhang, Hany Hassan Awadalla, Yi R. Fung, Weizhu Chen, Minhao Cheng, Furu Wei
  
  COLM 2025 | July 2025
  
  Publication
- Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
  
  Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, Xiao Liang, Hengyuan Zhang, Xingxing Zhang, Mahmoud Khademi, Hany Awadalla, Junjie Wang, Yujiu Yang, Furu Wei
  
  2025 Meeting of the Association for Computational Linguistics | May 2025
  
  Publication Github
- Bootstrap Your Own Context Length
  
  Liang Wang, Nan Yang, Xingxing Zhang, Xiaolong Huang, Furu Wei
  
  ArXiv | December 2024, Vol abs/2412.18860
  
  DOI Publication Publication
- REDSTONE: Curating General, Code, Math, and QA Data for Large Language Models
  
  Yaoyao Chang, Lei Cui, Li Dong, Shaohan Huang, Yangyu Huang, Yupan Huang, Scarlett Li, Tengchao Lv, Shuming Ma, Qinzheng Sun, Wenhui Wang, Furu Wei, Ying Xin, Mao Yang, Qiufeng Yin, Xingxing Zhang
  
  December 2024
  
  Publication
- MathScale: Scaling Instruction Tuning for Mathematical Reasoning
  
  Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei
  
  ICML 2024 | March 2024
  
  DOI Publication Publication
- Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
  
  Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei
  
  February 2024
  
  Work in progress
  
  DOI Publication Publication
- LongNet: Scaling Transformers to 1,000,000,000 Tokens
  
  Jiayu Ding, Shuming Ma, Li Dong, Xingxing Zhang, Shaohan Huang, Wenhui Wang, Furu Wei
  
  July 2023
  
  DOI PDF Vidéo
- Attention Temperature Matters in Abstractive Summarization Distillation
  
  Shengqiang Zhang, Xingxing Zhang, Hangbo Bao, Furu Wei
  
  ACL 2022 | May 2022
  
  Publication
- Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
  
  Ruipeng Jia, Xingxing Zhang, Yanan Cao, Shi Wang, Zheng Lin, Furu Wei
  
  ACL 2022 | May 2022
  
  Publication

- Native Hybrid Thinking Models
  
  Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- Scaling Laws of Synthetic Data for Language Models
  
  Zeyu Qin, Qingxiu Dong, Xingxing Zhang, Li Dong, Xiaolong Huang, Ziyi Yang, Mahmoud Khademi, Dongdong Zhang, Hany Hassan Awadalla, Yi R. Fung, Weizhu Chen, Minhao Cheng, Furu Wei
  
  COLM 2025 | July 2025
  
  Publication
- Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
  
  Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, Xiao Liang, Hengyuan Zhang, Xingxing Zhang, Mahmoud Khademi, Hany Awadalla, Junjie Wang, Yujiu Yang, Furu Wei
  
  2025 Meeting of the Association for Computational Linguistics | May 2025
  
  Publication Github
- MathScale: Scaling Instruction Tuning for Mathematical Reasoning
  
  Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei
  
  ICML 2024 | March 2024
  
  DOI Publication Publication
- Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
  
  Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei
  
  February 2024
  
  Work in progress
  
  DOI Publication Publication
- LongNet: Scaling Transformers to 1,000,000,000 Tokens
  
  Jiayu Ding, Shuming Ma, Li Dong, Xingxing Zhang, Shaohan Huang, Wenhui Wang, Furu Wei
  
  July 2023
  
  DOI PDF Vidéo
- Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
  
  Ruipeng Jia, Xingxing Zhang, Yanan Cao, Shi Wang, Zheng Lin, Furu Wei
  
  ACL 2022 | May 2022
  
  Publication
- Scaling Laws of Synthetic Data for Language Models
  
  Zeyu Qin, Qingxiu Dong, Xingxing Zhang, Li Dong, Xiaolong Huang, Ziyi Yang, Mahmoud Khademi, Dongdong Zhang, Hany Hassan Awadalla, Yi R. Fung, Weizhu Chen, Minhao Cheng, Furu Wei
  
  COLM 2025 | July 2025
  
  Publication
- Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
  
  Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, Xiao Liang, Hengyuan Zhang, Xingxing Zhang, Mahmoud Khademi, Hany Awadalla, Junjie Wang, Yujiu Yang, Furu Wei
  
  2025 Meeting of the Association for Computational Linguistics | May 2025
  
  Publication Github
- Bootstrap Your Own Context Length
  
  Liang Wang, Nan Yang, Xingxing Zhang, Xiaolong Huang, Furu Wei
  
  ArXiv | December 2024, Vol abs/2412.18860
  
  DOI Publication Publication
- Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
  
  Ruipeng Jia, Xingxing Zhang, Yanan Cao, Shi Wang, Zheng Lin, Furu Wei
  
  ACL 2022 | May 2022
  
  Publication
- Attention Temperature Matters in Abstractive Summarization Distillation
  
  Shengqiang Zhang, Xingxing Zhang, Hangbo Bao, Furu Wei
  
  ACL 2022 | May 2022
  
  Publication
- REDSTONE: Curating General, Code, Math, and QA Data for Large Language Models
  
  Yaoyao Chang, Lei Cui, Li Dong, Shaohan Huang, Yangyu Huang, Yupan Huang, Scarlett Li, Tengchao Lv, Shuming Ma, Qinzheng Sun, Wenhui Wang, Furu Wei, Ying Xin, Mao Yang, Qiufeng Yin, Xingxing Zhang
  
  December 2024
  
  Publication
- MathScale: Scaling Instruction Tuning for Mathematical Reasoning
  
  Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei
  
  ICML 2024 | March 2024
  
  DOI Publication Publication

- Native Hybrid Thinking Models
  
  Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei
  
  NeurIPS 2025 | October 2025
  
  Publication
- Scaling Laws of Synthetic Data for Language Models
  
  Zeyu Qin, Qingxiu Dong, Xingxing Zhang, Li Dong, Xiaolong Huang, Ziyi Yang, Mahmoud Khademi, Dongdong Zhang, Hany Hassan Awadalla, Yi R. Fung, Weizhu Chen, Minhao Cheng, Furu Wei
  
  COLM 2025 | July 2025
  
  Publication
- Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
  
  Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, Xiao Liang, Hengyuan Zhang, Xingxing Zhang, Mahmoud Khademi, Hany Awadalla, Junjie Wang, Yujiu Yang, Furu Wei
  
  2025 Meeting of the Association for Computational Linguistics | May 2025
  
  Publication Github
- MathScale: Scaling Instruction Tuning for Mathematical Reasoning
  
  Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei
  
  ICML 2024 | March 2024
  
  DOI Publication Publication
- Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
  
  Ruipeng Jia, Xingxing Zhang, Yanan Cao, Shi Wang, Zheng Lin, Furu Wei
  
  ACL 2022 | May 2022
  
  Publication
- Attention Temperature Matters in Abstractive Summarization Distillation
  
  Shengqiang Zhang, Xingxing Zhang, Hangbo Bao, Furu Wei
  
  ACL 2022 | May 2022
  
  Publication
- Bootstrap Your Own Context Length
  
  Liang Wang, Nan Yang, Xingxing Zhang, Xiaolong Huang, Furu Wei
  
  ArXiv | December 2024, Vol abs/2412.18860
  
  DOI Publication Publication
- REDSTONE: Curating General, Code, Math, and QA Data for Large Language Models
  
  Yaoyao Chang, Lei Cui, Li Dong, Shaohan Huang, Yangyu Huang, Yupan Huang, Scarlett Li, Tengchao Lv, Shuming Ma, Qinzheng Sun, Wenhui Wang, Furu Wei, Ying Xin, Mao Yang, Qiufeng Yin, Xingxing Zhang
  
  December 2024
  
  Publication
- Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models
  
  Haoran Li, Qingxiu Dong, Zhengyang Tang, Chaojun Wang, Xingxing Zhang, Haoyang Huang, Shaohan Huang, Xiaolong Huang, Zeqiang Huang, Dongdong Zhang, Yuxian Gu, Xin Cheng, Xun Wang, Si-Qing Chen, Li Dong, Wei Lu, Zhifang Sui, Benyou Wang, Wai Lam, Furu Wei
  
  February 2024
  
  Work in progress
  
  DOI Publication Publication
- LongNet: Scaling Transformers to 1,000,000,000 Tokens
  
  Jiayu Ding, Shuming Ma, Li Dong, Xingxing Zhang, Shaohan Huang, Wenhui Wang, Furu Wei
  
  July 2023
  
  DOI PDF Vidéo

Xingxing Zhang

Publications

Native Hybrid Thinking Models

Scaling Laws of Synthetic Data for Language Models

Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective

Bootstrap Your Own Context Length

REDSTONE: Curating General, Code, Math, and QA Data for Large Language Models

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

LongNet: Scaling Transformers to 1,000,000,000 Tokens

Attention Temperature Matters in Abstractive Summarization Distillation

Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization

Native Hybrid Thinking Models

Scaling Laws of Synthetic Data for Language Models

Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

LongNet: Scaling Transformers to 1,000,000,000 Tokens

Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization

Scaling Laws of Synthetic Data for Language Models

Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective

Bootstrap Your Own Context Length

Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization

Attention Temperature Matters in Abstractive Summarization Distillation

REDSTONE: Curating General, Code, Math, and QA Data for Large Language Models

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Native Hybrid Thinking Models

Scaling Laws of Synthetic Data for Language Models

Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization

Attention Temperature Matters in Abstractive Summarization Distillation

Bootstrap Your Own Context Length

REDSTONE: Curating General, Code, Math, and QA Data for Large Language Models

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

LongNet: Scaling Transformers to 1,000,000,000 Tokens

Contact Xingxing Zhang

Microsoft Research Lab – Asia