Xingxing Zhang

According to our database, Xingxing Zhang authored at least 28 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-Boosting Large Language Models with Synthetic Preference Data.

Qingxiu Dong, Li Dong, Xingxing Zhang, Zhifang Sui, Furu Wei

CoRR, 2024

xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token.

Xin Cheng, Xun Wang, Xingxing Zhang, Tao Ge, Si-Qing Chen, Furu Wei, Huishuai Zhang, Dongyan Zhao

CoRR, 2024

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

CoRR, 2024

MathScale: Scaling Instruction Tuning for Mathematical Reasoning.

Zhengyang Tang, Xingxing Zhang, Benyou Wang, Furu Wei

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

Jiayu Ding, Shuming Ma, Li Dong, Xingxing Zhang, Shaohan Huang, Wenhui Wang, Nanning Zheng, Furu Wei

CoRR, 2023

Tuna: Instruction Tuning using Feedback from Large Language Models.

Haoran Li, Yiran Liu, Xingxing Zhang, Wei Lu, Furu Wei

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Momentum Calibration for Text Generation.

Xingxing Zhang, Yiran Liu, Xun Wang, Pengcheng He, Yang Yu, Si-Qing Chen, Wayne Xiong, Furu Wei

CoRR, 2022

Latent Prompt Tuning for Text Summarization.

Yubo Zhang, Xingxing Zhang, Xun Wang, Si-qing Chen, Furu Wei

CoRR, 2022

Attention Temperature Matters in Abstractive Summarization Distillation.

Shengqiang Zhang, Xingxing Zhang, Hangbo Bao, Furu Wei

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

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

Ruipeng Jia, Xingxing Zhang, Yanan Cao, Zheng Lin, Shi Wang, Furu Wei

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Sequence Level Contrastive Learning for Text Summarization.

Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2020

STEP: Sequence-to-Sequence Transformer Pre-training for Document Summarization.

Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou

CoRR, 2020

Pre-training for Abstractive Document Summarization by Reinstating Source Text.

Yanyan Zou, Xingxing Zhang, Wei Lu, Furu Wei, Ming Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers.

Shusheng Xu, Xingxing Zhang, Yi Wu, Furu Wei, Ming Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction.

Mengyun Chen, Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Unsupervised Fine-tuning for Text Clustering.

Shaohan Huang, Furu Wei, Lei Cui, Xingxing Zhang, Ming Zhou

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Document-Based Question Answering Improves Query-Focused Multi-document Summarization.

Weikang Li, Xingxing Zhang, Yunfang Wu, Furu Wei, Ming Zhou

Proceedings of the Natural Language Processing and Chinese Computing, 2019

HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization.

Xingxing Zhang, Furu Wei, Ming Zhou

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study.

Tao Ge, Xingxing Zhang, Furu Wei, Ming Zhou

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Neural Latent Extractive Document Summarization.

Xingxing Zhang, Mirella Lapata, Furu Wei, Ming Zhou

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Sentence Simplification with Deep Reinforcement Learning.

Xingxing Zhang, Mirella Lapata

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Dependency Parsing as Head Selection.

Xingxing Zhang, Jianpeng Cheng, Mirella Lapata

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016

Top-down Tree Long Short-Term Memory Networks.

Xingxing Zhang, Liang Lu, Mirella Lapata

Proceedings of the NAACL HLT 2016, 2016

On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition.

Liang Lu, Xingxing Zhang, Steve Renals

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015

Tree Recurrent Neural Networks with Application to Language Modeling.

Xingxing Zhang, Liang Lu, Mirella Lapata

CoRR, 2015

A study of the recurrent neural network encoder-decoder for large vocabulary speech recognition.

Liang Lu, Xingxing Zhang, Kyunghyun Cho, Steve Renals

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014

Chinese Poetry Generation with Recurrent Neural Networks.

Xingxing Zhang, Mirella Lapata

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Learning to Extract Attribute Values from a Search Engine with Few Examples.

Xingxing Zhang, Tao Ge, Zhifang Sui

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2013