Xing Wu

According to our database, Xing Wu authored at least 42 papers between 2019 and 2026.

Collaborative distances:

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

2026

PolicyLong: Towards On-Policy Context Extension.

Junlong Jia, Ziyang Chen, Xing Wu, Chaochen Gao, TingHao Yu, Feng Zhang, Songlin Hu

CoRR, April, 2026

LongBench Pro: A More Realistic and Comprehensive Bilingual Long-Context Evaluation Benchmark.

Ziyang Chen, Xing Wu, Junlong Jia, Chaochen Gao, Qi Fu, Debing Zhang, Songlin Hu

CoRR, January, 2026

LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs.

Junlong Jia, Xing Wu, Chaochen Gao, Ziyang Chen, Zijia Lin, Zhongzhi Li, Weinong Wang, Haotian Xu, Donghui Jin, Debing Zhang, Binghui Guo

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

EntropyLong: Effective Long-Context Training via Predictive Uncertainty.

Junlong Jia, Ziyang Chen, Xing Wu, Chaochen Gao, Zijia Lin, Debing Zhang, Songlin Hu, Binghui Guo

CoRR, October, 2025

MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph.

Duzhen Zhang, Zixiao Wang, Zhong-Zhi Li, Yahan Yu, Shuncheng Jia, Jiahua Dong, Haotian Xu, Xing Wu, Yingying Zhang, Tielin Zhang, Jie Yang, Xiuying Chen, Le Song

CoRR, August, 2025

LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions.

Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu

CoRR, May, 2025

RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems?

Haotian Xu, Xing Wu, Weinong Wang, Zhongzhi Li, Da Zheng, Boyuan Chen, Yi Hu, Shijia Kang, Jiaming Ji, Yingying Zhang, Zhijiang Guo, Yaodong Yang, Muhan Zhang, Debing Zhang

CoRR, January, 2025

Libra: Large Chinese-based Safeguard for AI Content.

Ziyang Chen, Huimu Yu, Xing Wu, Dongqin Liu, Songlin Hu

Proceedings of the Natural Language Processing and Chinese Computing, 2025

CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts.

Zhenpeng Su, Xing Wu, Zijia Lin, Yizhe Xiong, Minxuan Lv, Guangyuan Ma, Hui Chen, Songlin Hu, Guiguang Ding

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

NExtLong: Toward Effective Long-Context Training without Long Documents.

Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model.

Chaochen Gao, Xing Wu, Qi Fu, Songlin Hu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval.

Guangyuan Ma, Yongliang Ma, Xing Wu, Zhenpeng Su, Ming Zhou, Songlin Hu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning.

Huimu Yu, Xing Wu, Weidong Yin, Debing Zhang, Songlin Hu

CoRR, 2024

MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts.

Zhenpeng Su, Zijia Lin, Xue Bai, Xing Wu, Yizhe Xiong, Haoran Lian, Guangyuan Ma, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu

CoRR, 2024

Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval.

Guangyuan Ma, Xing Wu, Zijia Lin, Songlin Hu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems.

Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models.

Weigang Zhang, Biyu Zhou, Xing Wu, Chaochen Gao, Zhibing Liu, Xuehai Tang, Ruixuan Li, Jizhong Han, Songlin Hu

Proceedings of the Euro-Par 2024: Parallel Processing, 2024

2023

InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models.

Zhenpeng Su, Xing Wu, Xue Bai, Zijia Lin, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu

CoRR, 2023

HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus.

Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu

CoRR, 2023

Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval.

Guangyuan Ma, Xing Wu, Peng Wang, Zijia Lin, Songlin Hu

CoRR, 2023

ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems.

Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu

CoRR, 2023

CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval.

Guangyuan Ma, Xing Wu, Peng Wang, Songlin Hu

CoRR, 2023

CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval.

Xing Wu, Guangyuan Ma, Peng Wang, Meng Lin, Zijia Lin, Fuzheng Zhang, Songlin Hu

CoRR, 2023

Query-as-context Pre-training for Dense Passage Retrieval.

Xing Wu, Guangyuan Ma, Wanhui Qian, Zijia Lin, Songlin Hu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

PUNR: Pre-training with User Behavior Modeling for News Recommendation.

Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu

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

ConTextual Masked Auto-Encoder for Dense Passage Retrieval.

Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Query-as-context Pre-training for Dense Passage Retrieval.

Xing Wu, Guangyuan Ma, Songlin Hu

CoRR, 2022

ConTextual Mask Auto-Encoder for Dense Passage Retrieval.

Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu

CoRR, 2022

Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks.

Xing Wu, Chaochen Gao, Meng Lin, Liangjun Zang, Zhongyuan Wang, Songlin Hu

CoRR, 2022

InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings.

Xing Wu, Chaochen Gao, Zijia Lin, Jizhong Han, Zhongyuan Wang, Songlin Hu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval.

Xing Wu, Chaochen Gao, Zijia Lin, Zhongyuan Wang, Jizhong Han, Songlin Hu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Smoothed Contrastive Learning for Unsupervised Sentence Embedding.

Xing Wu, Chaochen Gao, Yipeng Su, Jizhong Han, Zhongyuan Wang, Songlin Hu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding.

Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, Songlin Hu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks.

Xing Wu, Chaochen Gao, Meng Lin, Liangjun Zang, Songlin Hu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

DisCo: Effective Knowledge Distillation For Contrastive Learning of Sentence Embeddings.

Xing Wu, Chaochen Gao, Jue Wang, Liangjun Zang, Zhongyuan Wang, Songlin Hu

CoRR, 2021

Smoothed Contrastive Learning for Unsupervised Sentence Embedding.

Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, Songlin Hu

CoRR, 2021

2020

Data Augmentation for Copy-Mechanism in Dialogue State Tracking.

Xiaohui Song, Liangjun Zang, Yipeng Su, Xing Wu, Jizhong Han, Songlin Hu

CoRR, 2020

2019

TransSent: Towards Generation of Structured Sentences with Discourse Marker.

Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu

CoRR, 2019

"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer.

Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu

CoRR, 2019

Mask and Infill: Applying Masked Language Model for Sentiment Transfer.

Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Conditional BERT Contextual Augmentation.

Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, Songlin Hu

Proceedings of the Computational Science - ICCS 2019, 2019

Imbalanced Sentiment Classification Enhanced with Discourse Marker.

Tao Zhang, Xing Wu, Meng Lin, Jizhong Han, Songlin Hu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series, 2019