Learning to Extract Attribute Values from a Search Engine with Few Examples. - Xingxing Zhang 002; Tao Ge 001; Zhifang Sui (CCL, 2013)

Chinese Poetry Generation with Recurrent Neural Networks. - Xingxing Zhang 002; Mirella Lapata (EMNLP, 2014)

A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition. - Liang Lu 001; Xingxing Zhang 002; Kyunghyun Cho; Steve Renals (INTERSPEECH, 2015)

Tree Recurrent Neural Networks with Application to Language Modeling. - Xingxing Zhang 002; Liang Lu 001; Mirella Lapata (CoRR, 2015)

On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition. - Liang Lu 001; Xingxing Zhang 002; Steve Renals (ICASSP, 2016)

Top-down Tree Long Short-Term Memory Networks. - Xingxing Zhang 002; Liang Lu 001; Mirella Lapata (HLT-NAACL, 2016)

Dependency Parsing as Head Selection. - Xingxing Zhang 002; Jianpeng Cheng 001; Mirella Lapata (EACL (1), 2017)

Sentence Simplification with Deep Reinforcement Learning. - Xingxing Zhang 002; Mirella Lapata (EMNLP, 2017)

Neural Latent Extractive Document Summarization. - Xingxing Zhang 002; Mirella Lapata; Furu Wei; Ming Zhou 001 (EMNLP, 2018)

Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study. - Tao Ge 001; Xingxing Zhang 002; Furu Wei; Ming Zhou 001 (ACL (1), 2019)

HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization. - Xingxing Zhang 002; Furu Wei; Ming Zhou 001 (ACL (1), 2019)

Document-Based Question Answering Improves Query-Focused Multi-document Summarization. - Weikang Li; Xingxing Zhang 002; Yunfang Wu; Furu Wei; Ming Zhou 001 (NLPCC (2), 2019)

Unsupervised Fine-tuning for Text Clustering. - Shaohan Huang; Furu Wei; Lei Cui 001; Xingxing Zhang 002; Ming Zhou 001 (COLING, 2020)

Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction. - Mengyun Chen; Tao Ge 001; Xingxing Zhang 002; Furu Wei; Ming Zhou 001 (EMNLP (1), 2020)

Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers. - Shusheng Xu; Xingxing Zhang 002; Yi Wu 013; Furu Wei; Ming Zhou 001 (EMNLP (Findings), 2020)

Pre-training for Abstractive Document Summarization by Reinstating Source Text. - Yanyan Zou; Xingxing Zhang 002; Wei Lu 011; Furu Wei; Ming Zhou 001 (EMNLP (1), 2020)

STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization. - Yanyan Zou; Xingxing Zhang 002; Wei Lu 011; Furu Wei; Ming Zhou 001 (CoRR, 2020)

Sequence Level Contrastive Learning for Text Summarization. - Shusheng Xu; Xingxing Zhang 002; Yi Wu 013; Furu Wei (AAAI, 2022)

Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization. - Ruipeng Jia; Xingxing Zhang 002; Yanan Cao 001; Zheng Lin 001; Shi Wang 002; Furu Wei (ACL (1), 2022)

Attention Temperature Matters in Abstractive Summarization Distillation. - Shengqiang Zhang; Xingxing Zhang 002; Hangbo Bao; Furu Wei (ACL (1), 2022)

Latent Prompt Tuning for Text Summarization. - Yubo Zhang; Xingxing Zhang 002; Xun Wang 012; Si-qing Chen; Furu Wei (CoRR, 2022)

Momentum Calibration for Text Generation. - Xingxing Zhang 002; Yiran Liu; Xun Wang 012; Pengcheng He; Yang Yu; Si-Qing Chen; Wayne Xiong; Furu Wei (CoRR, 2022)

Tuna: Instruction Tuning using Feedback from Large Language Models. - Haoran Li; Yiran Liu; Xingxing Zhang 002; Wei Lu 011; Furu Wei (EMNLP (Findings), 2023)

LongNet: Scaling Transformers to 1, 000, 000, 000 Tokens. - Jiayu Ding; Shuming Ma; Li Dong 004; Xingxing Zhang 002; Shaohan Huang; Wenhui Wang 003; Nanning Zheng 001; Furu Wei (CoRR, 2023)

MathScale: Scaling Instruction Tuning for Mathematical Reasoning. - Zhengyang Tang; Xingxing Zhang 002; Benyou Wang; Furu Wei (ICML, 2024)

xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token. - Xin Cheng 002; Xun Wang 012; Xingxing Zhang 002; Tao Ge 001; Si-Qing Chen; Furu Wei; Huishuai Zhang; Dongyan Zhao 001 (NeurIPS, 2024)

RedStone: Curating General, Code, Math, and QA Data for Large Language Models. - Yaoyao Chang; Lei Cui 001; Li Dong 004; Shaohan Huang; Yangyu Huang; Yupan Huang; Scarlett Li; Tengchao Lv; Shuming Ma; Qinzheng Sun; Wenhui Wang 003; Furu Wei; et al. (CoRR, 2024)

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark. - Qihao Zhao; Yangyu Huang; Tengchao Lv; Lei Cui 001; Qinzheng Sun; Shaoguang Mao; Xingxing Zhang 002; Ying Xin; Qiufeng Yin; Scarlett Li; Furu Wei (CoRR, 2024)

Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective. - Yiyao Yu; Yuxiang Zhang; Dongdong Zhang 001; Xiao Liang; Hengyuan Zhang; Xingxing Zhang 002; Mahmoud Khademi; Hany Hassan Awadalla; Junjie Wang; Yujiu Yang; Furu Wei (ACL (1), 2025)

Self-Boosting Large Language Models with Synthetic Preference Data. - Qingxiu Dong; Li Dong 004; Xingxing Zhang 002; Zhifang Sui; Furu Wei (ICLR, 2025)

Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models. - Haoran Li; Qingxiu Dong; Zhengyang Tang; Chaojun Wang; Xingxing Zhang 002; Haoyang Huang; Shaohan Huang; Xiaolong Huang; Zeqiang Huang; Dongdong Zhang 001; Yuxian Gu; Xin Cheng 002; et al. (Trans. Mach. Learn. Res., 2025)

WildLong: Synthesizing Realistic Long-Context Instruction Data at Scale. - Jiaxi Li 001; Xingxing Zhang 002; Xun Wang 012; Xiaolong Huang; Li Dong 004; Liang Wang; Si-Qing Chen; Wei Lu 011; Furu Wei (CoRR, 2025)

Scaling Laws of Synthetic Data for Language Models. - Zeyu Qin; Qingxiu Dong; Xingxing Zhang 002; Li Dong 004; Xiaolong Huang; Ziyi Yang; Mahmoud Khademi; Dongdong Zhang 001; Hany Hassan Awadalla; Yi R. Fung 001; Weizhu Chen; Minhao Cheng; et al. (CoRR, 2025)

BitNet b1.58 2B4T Technical Report. - Shuming Ma; Hongyu Wang; Shaohan Huang; Xingxing Zhang 002; Ying Hu; Ting Song; Yan Xia 005; Furu Wei (CoRR, 2025)

Think Only When You Need with Large Hybrid-Reasoning Models. - Lingjie Jiang; Xun Wu; Shaohan Huang; Qingxiu Dong; Zewen Chi; Li Dong 004; Xingxing Zhang 002; Tengchao Lv; Lei Cui 001; Furu Wei (CoRR, 2025)