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ORCIDXingxing Zhang 0002
Person information
- affiliation: Microsoft Research Asia, China
- affiliation (Ph.D.): University of Edinburgh, UK
Other persons with the same name
- Xingxing Zhang — disambiguation page
- Xingxing Zhang 0001 — Tsinghua University, Beijing, China (and 1 more)
- Xingxing Zhang 0003
![[0000-0001-6368-5762]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6368-5762")
— Guizhou University, Guiyang, Guizhou, China (and 1 more) - Xingxing Zhang 0004 — Nanjing University of Posts and Telecommunications, Nanjing, China
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2020 – today
- 2024
[c20]Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei:
MathScale: Scaling Instruction Tuning for Mathematical Reasoning. ICML 2024- [i20]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:
Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. CoRR abs/2402.13064 (2024) - [i19]Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei:
MathScale: Scaling Instruction Tuning for Mathematical Reasoning. CoRR abs/2403.02884 (2024) - [i18]Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao:
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token. CoRR abs/2405.13792 (2024) - [i17]Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei:
Self-Boosting Large Language Models with Synthetic Preference Data. CoRR abs/2410.06961 (2024) - [i16]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:
RedStone: Curating General, Code, Math, and QA Data for Large Language Models. CoRR abs/2412.03398 (2024) - 2023
- [c19]Haoran Li, Yiran Liu, Xingxing Zhang, Wei Lu, Furu Wei:
Tuna: Instruction Tuning using Feedback from Large Language Models. EMNLP (Findings) 2023: 15146-15163 - [i15]Jiayu Ding, Shuming Ma, Li Dong, Xingxing Zhang, Shaohan Huang, Wenhui Wang, Nanning Zheng, Furu Wei:
LongNet: Scaling Transformers to 1, 000, 000, 000 Tokens. CoRR abs/2307.02486 (2023) - [i14]Haoran Li, Yiran Liu, Xingxing Zhang, Wei Lu, Furu Wei:
Tuna: Instruction Tuning using Feedback from Large Language Models. CoRR abs/2310.13385 (2023) - 2022
- [c18]Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei:
Sequence Level Contrastive Learning for Text Summarization. AAAI 2022: 11556-11565 - [c17]Shengqiang Zhang, Xingxing Zhang, Hangbo Bao, Furu Wei:
Attention Temperature Matters in Abstractive Summarization Distillation. ACL (1) 2022: 127-141 - [c16]Ruipeng Jia, Xingxing Zhang, Yanan Cao, Zheng Lin, Shi Wang, Furu Wei:
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization. ACL (1) 2022: 561-570 - [i13]Ruipeng Jia, Xingxing Zhang, Yanan Cao, Shi Wang, Zheng Lin, Furu Wei:
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization. CoRR abs/2204.13512 (2022) - [i12]Yubo Zhang, Xingxing Zhang, Xun Wang, Si-qing Chen, Furu Wei:
Latent Prompt Tuning for Text Summarization. CoRR abs/2211.01837 (2022) - [i11]Xingxing Zhang, Yiran Liu, Xun Wang, Pengcheng He, Yang Yu, Si-Qing Chen, Wayne Xiong, Furu Wei:
Momentum Calibration for Text Generation. CoRR abs/2212.04257 (2022) - 2021
- [i10]Shengqiang Zhang, Xingxing Zhang, Hangbo Bao, Furu Wei:
Attention Temperature Matters in Abstractive Summarization Distillation. CoRR abs/2106.03441 (2021) - [i9]Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei:
Sequence Level Contrastive Learning for Text Summarization. CoRR abs/2109.03481 (2021) - 2020
- [c15]Shaohan Huang, Furu Wei, Lei Cui, Xingxing Zhang, Ming Zhou:
Unsupervised Fine-tuning for Text Clustering. COLING 2020: 5530-5534 - [c14]Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou:
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. EMNLP (Findings) 2020: 1784-1795 - [c13]Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou:
Pre-training for Abstractive Document Summarization by Reinstating Source Text. EMNLP (1) 2020: 3646-3660 - [c12]Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou:
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction. EMNLP (1) 2020: 7162-7169 - [i8]Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou:
STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization. CoRR abs/2004.01853 (2020) - [i7]Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou:
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction. CoRR abs/2010.03260 (2020) - [i6]Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou:
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. CoRR abs/2010.08242 (2020)
2010 – 2019
- 2019
- [c11]Xingxing Zhang, Furu Wei, Ming Zhou:
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization. ACL (1) 2019: 5059-5069 - [c10]Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou:
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study. ACL (1) 2019: 6059-6064 - [c9]Weikang Li, Xingxing Zhang, Yunfang Wu, Furu Wei, Ming Zhou:
Document-Based Question Answering Improves Query-Focused Multi-document Summarization. NLPCC (2) 2019: 41-52 - [i5]Xingxing Zhang, Furu Wei, Ming Zhou:
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization. CoRR abs/1905.06566 (2019) - 2018
- [c8]Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou:
Neural Latent Extractive Document Summarization. EMNLP 2018: 779-784 - [i4]Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou:
Neural Latent Extractive Document Summarization. CoRR abs/1808.07187 (2018) - 2017
- [c7]Xingxing Zhang, Jianpeng Cheng, Mirella Lapata:
Dependency Parsing as Head Selection. EACL (1) 2017: 665-676 - [c6]Xingxing Zhang, Mirella Lapata:
Sentence Simplification with Deep Reinforcement Learning. EMNLP 2017: 584-594 - [i3]Xingxing Zhang, Mirella Lapata:
Sentence Simplification with Deep Reinforcement Learning. CoRR abs/1703.10931 (2017) - 2016
- [c5]Liang Lu, Xingxing Zhang, Steve Renals:
On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition. ICASSP 2016: 5060-5064 - [c4]Xingxing Zhang, Liang Lu, Mirella Lapata:
Top-down Tree Long Short-Term Memory Networks. HLT-NAACL 2016: 310-320 - [i2]Xingxing Zhang, Jianpeng Cheng, Mirella Lapata:
Dependency Parsing as Head Selection. CoRR abs/1606.01280 (2016) - 2015
- [c3]Liang Lu, Xingxing Zhang, Kyunghyun Cho, Steve Renals:
A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition. INTERSPEECH 2015: 3249-3253 - [i1]Xingxing Zhang, Liang Lu, Mirella Lapata:
Tree Recurrent Neural Networks with Application to Language Modeling. CoRR abs/1511.00060 (2015) - 2014
- [c2]Xingxing Zhang, Mirella Lapata:
Chinese Poetry Generation with Recurrent Neural Networks. EMNLP 2014: 670-680 - 2013
- [c1]Xingxing Zhang, Tao Ge, Zhifang Sui:
Learning to Extract Attribute Values from a Search Engine with Few Examples. CCL 2013: 154-165
Coauthor Index
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