Xingxing Zhang

54 papers A* 7A 1B 1Misc 1Journal 30Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learning to Draft: Adaptive Speculative Decoding with Reinforcement Learning. CoRR Jiebin Zhang, Zhenghan Yu, Liang Wang, Nan Yang, Eugene J. Yu, Zheng Li, Yifan Song, Dawei Zhu, Xingxing Zhang, Furu Wei, Sujian Li
2026	J	`jnl`	Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations. CoRR Wen Luo, Guangyue Peng, Wei Li, Shaohang Wei, Feifan Song, Liang Wang, Nan Yang, Xingxing Zhang, Jing Jin, Furu Wei, Houfeng Wang
2025	J	`jnl`	BitNet b1.58 2B4T Technical Report. CoRR Shuming Ma, Hongyu Wang, Shaohan Huang, Xingxing Zhang, Ying Hu, Ting Song, Yan Xia, Furu Wei
2025	—	`conf`	Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective. ACL (1) Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, Xiao Liang, Hengyuan Zhang, Xingxing Zhang, Mahmoud Khademi, Hany Hassan Awadalla, Junjie Wang, Yujiu Yang, Furu Wei
2025	J	`jnl`	Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective. CoRR Yiyao Yu, Yuxiang Zhang, Dongdong Zhang, Xiao Liang, Hengyuan Zhang, Xingxing Zhang, Ziyi Yang, Mahmoud Khademi, Hany Awadalla, Junjie Wang, Yujiu Yang, Furu Wei
2025	J	`jnl`	Scaling Laws of Synthetic Data for Language Models. CoRR 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
2025	A*	`conf`	Self-Boosting Large Language Models with Synthetic Preference Data. ICLR Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei
2025	J	`jnl`	Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Think Only When You Need with Large Hybrid-Reasoning Models. CoRR Lingjie Jiang, Xun Wu, Shaohan Huang, Qingxiu Dong, Zewen Chi, Li Dong, Xingxing Zhang, Tengchao Lv, Lei Cui, Furu Wei
2025	J	`jnl`	WildLong: Synthesizing Realistic Long-Context Instruction Data at Scale. CoRR Jiaxi Li, Xingxing Zhang, Xun Wang, Xiaolong Huang, Li Dong, Liang Wang, Si-Qing Chen, Wei Lu, Furu Wei
2024	J	`jnl`	Bootstrap Your Own Context Length. CoRR Liang Wang, Nan Yang, Xingxing Zhang, Xiaolong Huang, Furu Wei
2024	J	`jnl`	MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark. CoRR Qihao Zhao, Yangyu Huang, Tengchao Lv, Lei Cui, Qinzheng Sun, Shaoguang Mao, Xingxing Zhang, Ying Xin, Qiufeng Yin, Scarlett Li, Furu Wei
2024	A*	`conf`	MathScale: Scaling Instruction Tuning for Mathematical Reasoning. ICML Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei
2024	J	`jnl`	MathScale: Scaling Instruction Tuning for Mathematical Reasoning. CoRR Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei
2024	J	`jnl`	RedStone: Curating General, Code, Math, and QA Data for Large Language Models. CoRR 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
2024	J	`jnl`	Self-Boosting Large Language Models with Synthetic Preference Data. CoRR Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei
2024	J	`jnl`	Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. CoRR 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
2024	A*	`conf`	xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token. NeurIPS Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao
2024	J	`jnl`	xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token. CoRR Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao
2023	J	`jnl`	LongNet: Scaling Transformers to 1, 000, 000, 000 Tokens. CoRR Jiayu Ding, Shuming Ma, Li Dong, Xingxing Zhang, Shaohan Huang, Wenhui Wang, Nanning Zheng, Furu Wei
2023	—	`conf`	Tuna: Instruction Tuning using Feedback from Large Language Models. EMNLP (Findings) Haoran Li, Yiran Liu, Xingxing Zhang, Wei Lu, Furu Wei
2023	J	`jnl`	Tuna: Instruction Tuning using Feedback from Large Language Models. CoRR Haoran Li, Yiran Liu, Xingxing Zhang, Wei Lu, Furu Wei
2022	—	`conf`	Attention Temperature Matters in Abstractive Summarization Distillation. ACL (1) Shengqiang Zhang, Xingxing Zhang, Hangbo Bao, Furu Wei
2022	J	`jnl`	Latent Prompt Tuning for Text Summarization. CoRR Yubo Zhang, Xingxing Zhang, Xun Wang, Si-Qing Chen, Furu Wei
2022	J	`jnl`	Momentum Calibration for Text Generation. CoRR Xingxing Zhang, Yiran Liu, Xun Wang, Pengcheng He, Yang Yu, Si-Qing Chen, Wayne Xiong, Furu Wei
2022	—	`conf`	Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization. ACL (1) Ruipeng Jia, Xingxing Zhang, Yanan Cao, Zheng Lin, Shi Wang, Furu Wei
2022	J	`jnl`	Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization. CoRR Ruipeng Jia, Xingxing Zhang, Yanan Cao, Shi Wang, Zheng Lin, Furu Wei
2022	A*	`conf`	Sequence Level Contrastive Learning for Text Summarization. AAAI Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei
2021	J	`jnl`	Attention Temperature Matters in Abstractive Summarization Distillation. CoRR Shengqiang Zhang, Xingxing Zhang, Hangbo Bao, Furu Wei
2021	J	`jnl`	Sequence Level Contrastive Learning for Text Summarization. CoRR Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei
2020	—	`conf`	Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction. EMNLP (1) Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou
2020	J	`jnl`	Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction. CoRR Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou
2020	—	`conf`	Pre-training for Abstractive Document Summarization by Reinstating Source Text. EMNLP (1) Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou
2020	J	`jnl`	STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization. CoRR Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou
2020	—	`conf`	Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. EMNLP (Findings) Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou
2020	J	`jnl`	Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. CoRR Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou
2020	B	`conf`	Unsupervised Fine-tuning for Text Clustering. COLING Shaohan Huang, Furu Wei, Lei Cui, Xingxing Zhang, Ming Zhou
2019	—	`conf`	Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study. ACL (1) Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou
2019	—	`conf`	Document-Based Question Answering Improves Query-Focused Multi-document Summarization. NLPCC (2) Weikang Li, Xingxing Zhang, Yunfang Wu, Furu Wei, Ming Zhou
2019	—	`conf`	HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization. ACL (1) Xingxing Zhang, Furu Wei, Ming Zhou
2019	J	`jnl`	HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization. CoRR Xingxing Zhang, Furu Wei, Ming Zhou
2018	A*	`conf`	Neural Latent Extractive Document Summarization. EMNLP Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou
2018	J	`jnl`	Neural Latent Extractive Document Summarization. CoRR Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou
2017	—	`conf`	Dependency Parsing as Head Selection. EACL (1) Xingxing Zhang, Jianpeng Cheng, Mirella Lapata
2017	—	`—`	Natural language generation as neural sequence learning and beyond Xingxing Zhang
2017	A*	`conf`	Sentence Simplification with Deep Reinforcement Learning. EMNLP Xingxing Zhang, Mirella Lapata
2017	J	`jnl`	Sentence Simplification with Deep Reinforcement Learning. CoRR Xingxing Zhang, Mirella Lapata
2016	J	`jnl`	Dependency Parsing as Head Selection. CoRR Xingxing Zhang, Jianpeng Cheng, Mirella Lapata
2016	Misc	`conf`	On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition. ICASSP Liang Lu, Xingxing Zhang, Steve Renals
2016	—	`conf`	Top-down Tree Long Short-Term Memory Networks. HLT-NAACL Xingxing Zhang, Liang Lu, Mirella Lapata
2015	A	`conf`	A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition. INTERSPEECH Liang Lu, Xingxing Zhang, Kyunghyun Cho, Steve Renals
2015	J	`jnl`	Tree Recurrent Neural Networks with Application to Language Modeling. CoRR Xingxing Zhang, Liang Lu, Mirella Lapata
2014	A*	`conf`	Chinese Poetry Generation with Recurrent Neural Networks. EMNLP Xingxing Zhang, Mirella Lapata
2013	—	`conf`	Learning to Extract Attribute Values from a Search Engine with Few Examples. CCL Xingxing Zhang, Tao Ge, Zhifang Sui