Xing Wu - RankMe

54 papers A* 8B 2Journal 34Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs. AAAI Junlong Jia, Xing Wu, Chaochen Gao, Ziyang Chen, Zijia Lin, Zhongzhi Li, Weinong Wang, Haotian Xu, Donghui Jin, Debing Zhang, Binghui Guo
2026	J	`jnl`	LongBench Pro: A More Realistic and Comprehensive Bilingual Long-Context Evaluation Benchmark. CoRR Ziyang Chen, Xing Wu, Junlong Jia, Chaochen Gao, Qi Fu, Debing Zhang, Songlin Hu
2025	—	`conf`	CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts. NAACL (Long Papers) Zhenpeng Su, Xing Wu, Zijia Lin, Yizhe Xiong, Minxuan Lv, Guangyuan Ma, Hui Chen, Songlin Hu, Guiguang Ding
2025	J	`jnl`	EntropyLong: Effective Long-Context Training via Predictive Uncertainty. CoRR Junlong Jia, Ziyang Chen, Xing Wu, Chaochen Gao, Zijia Lin, Debing Zhang, Songlin Hu, Binghui Guo
2025	—	`conf`	Libra: Large Chinese-based Safeguard for AI Content. NLPCC (1) Ziyang Chen, Huimu Yu, Xing Wu, Dongqin Liu, Songlin Hu
2025	J	`jnl`	Libra: Large Chinese-based Safeguard for AI Content. CoRR Ziyang Chen, Huimu Yu, Xing Wu, Dongqin Liu, Songlin Hu
2025	J	`jnl`	LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs. CoRR Junlong Jia, Xing Wu, Chaochen Gao, Ziyang Chen, Zijia Lin, Zhongzhi Li, Weinong Wang, Haotian Xu, Donghui Jin, Debing Zhang, Binghui Guo
2025	J	`jnl`	LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions. CoRR Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu
2025	J	`jnl`	MedKGent: A Large Language Model Agent Framework for Constructing Temporally Evolving Medical Knowledge Graph. CoRR 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
2025	A*	`conf`	NExtLong: Toward Effective Long-Context Training without Long Documents. ICML Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu
2025	J	`jnl`	NExtLong: Toward Effective Long-Context Training without Long Documents. CoRR Chaochen Gao, Xing Wu, Zijia Lin, Debing Zhang, Songlin Hu
2025	A*	`conf`	Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model. ICLR Chaochen Gao, Xing Wu, Qi Fu, Songlin Hu
2025	J	`jnl`	RedStar: Does Scaling Long-CoT Data Unlock Better Slow-Reasoning Systems? CoRR 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
2025	A*	`conf`	Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval. AAAI Guangyuan Ma, Yongliang Ma, Xing Wu, Zhenpeng Su, Ming Zhou, Songlin Hu
2024	J	`jnl`	CartesianMoE: Boosting Knowledge Sharing among Experts via Cartesian Product Routing in Mixture-of-Experts. CoRR Zhenpeng Su, Xing Wu, Zijia Lin, Yizhe Xiong, Minxuan Lv, Guangyuan Ma, Hui Chen, Songlin Hu, Guiguang Ding
2024	J	`jnl`	CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning. CoRR Huimu Yu, Xing Wu, Weidong Yin, Debing Zhang, Songlin Hu
2024	—	`conf`	Dial-MAE: ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems. NAACL-HLT Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu
2024	A*	`conf`	Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval. SIGIR Guangyuan Ma, Xing Wu, Zijia Lin, Songlin Hu
2024	J	`jnl`	Drop your Decoder: Pre-training with Bag-of-Word Prediction for Dense Passage Retrieval. CoRR Guangyuan Ma, Xing Wu, Zijia Lin, Songlin Hu
2024	J	`jnl`	MaskMoE: Boosting Token-Level Learning via Routing Mask in Mixture-of-Experts. CoRR Zhenpeng Su, Zijia Lin, Xue Bai, Xing Wu, Yizhe Xiong, Haoran Lian, Guangyuan Ma, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu
2024	—	`conf`	Quartet: A Holistic Hybrid Parallel Framework for Training Large Language Models. Euro-Par (2) Weigang Zhang, Biyu Zhou, Xing Wu, Chaochen Gao, Zhibing Liu, Xuehai Tang, Ruixuan Li, Jizhong Han, Songlin Hu
2024	J	`jnl`	Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model. CoRR Chaochen Gao, Xing Wu, Qi Fu, Songlin Hu
2024	J	`jnl`	Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval. CoRR Guangyuan Ma, Yongliang Ma, Xing Wu, Zhenpeng Su, Ming Zhou, Songlin Hu
2023	J	`jnl`	CoT-MAE v2: Contextual Masked Auto-Encoder with Multi-view Modeling for Passage Retrieval. CoRR Xing Wu, Guangyuan Ma, Peng Wang, Meng Lin, Zijia Lin, Fuzheng Zhang, Songlin Hu
2023	J	`jnl`	CoT-MoTE: Exploring ConTextual Masked Auto-Encoder Pre-training with Mixture-of-Textual-Experts for Passage Retrieval. CoRR Guangyuan Ma, Xing Wu, Peng Wang, Songlin Hu
2023	A*	`conf`	ConTextual Masked Auto-Encoder for Dense Passage Retrieval. AAAI Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu
2023	J	`jnl`	ConTextual Masked Auto-Encoder for Retrieval-based Dialogue Systems. CoRR Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu
2023	J	`jnl`	HC3 Plus: A Semantic-Invariant Human ChatGPT Comparison Corpus. CoRR Zhenpeng Su, Xing Wu, Wei Zhou, Guangyuan Ma, Songlin Hu
2023	J	`jnl`	InfoEntropy Loss to Mitigate Bias of Learning Difficulties for Generative Language Models. CoRR Zhenpeng Su, Xing Wu, Xue Bai, Zijia Lin, Hui Chen, Guiguang Ding, Wei Zhou, Songlin Hu
2023	—	`conf`	PUNR: Pre-training with User Behavior Modeling for News Recommendation. EMNLP (Findings) Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu
2023	J	`jnl`	PUNR: Pre-training with User Behavior Modeling for News Recommendation. CoRR Guangyuan Ma, Hongtao Liu, Xing Wu, Wanhui Qian, Zhepeng Lv, Qing Yang, Songlin Hu
2023	J	`jnl`	Pre-training with Large Language Model-based Document Expansion for Dense Passage Retrieval. CoRR Guangyuan Ma, Xing Wu, Peng Wang, Zijia Lin, Songlin Hu
2023	A*	`conf`	Query-as-context Pre-training for Dense Passage Retrieval. EMNLP Xing Wu, Guangyuan Ma, Wanhui Qian, Zijia Lin, Songlin Hu
2022	J	`jnl`	ConTextual Mask Auto-Encoder for Dense Passage Retrieval. CoRR Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang, Songlin Hu
2022	B	`conf`	ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding. COLING Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, Songlin Hu
2022	—	`conf`	InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings. EMNLP (Findings) Xing Wu, Chaochen Gao, Zijia Lin, Jizhong Han, Zhongyuan Wang, Songlin Hu
2022	J	`jnl`	InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings. CoRR Xing Wu, Chaochen Gao, Zijia Lin, Jizhong Han, Zhongyuan Wang, Songlin Hu
2022	J	`jnl`	Query-as-context Pre-training for Dense Passage Retrieval. CoRR Xing Wu, Guangyuan Ma, Songlin Hu
2022	—	`conf`	RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval. EMNLP (Findings) Xing Wu, Chaochen Gao, Zijia Lin, Zhongyuan Wang, Jizhong Han, Songlin Hu
2022	J	`jnl`	RaP: Redundancy-aware Video-language Pre-training for Text-Video Retrieval. CoRR Xing Wu, Chaochen Gao, Zijia Lin, Zhongyuan Wang, Jizhong Han, Songlin Hu
2022	B	`conf`	Smoothed Contrastive Learning for Unsupervised Sentence Embedding. COLING Xing Wu, Chaochen Gao, Yipeng Su, Jizhong Han, Zhongyuan Wang, Songlin Hu
2022	—	`conf`	Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks. ACL (2) Xing Wu, Chaochen Gao, Meng Lin, Liangjun Zang, Songlin Hu
2022	J	`jnl`	Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks. CoRR Xing Wu, Chaochen Gao, Meng Lin, Liangjun Zang, Zhongyuan Wang, Songlin Hu
2021	J	`jnl`	DisCo: Effective Knowledge Distillation For Contrastive Learning of Sentence Embeddings. CoRR Xing Wu, Chaochen Gao, Jue Wang, Liangjun Zang, Zhongyuan Wang, Songlin Hu
2021	J	`jnl`	ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding. CoRR Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, Songlin Hu
2021	J	`jnl`	Smoothed Contrastive Learning for Unsupervised Sentence Embedding. CoRR Xing Wu, Chaochen Gao, Liangjun Zang, Jizhong Han, Zhongyuan Wang, Songlin Hu
2020	J	`jnl`	Data Augmentation for Copy-Mechanism in Dialogue State Tracking. CoRR Xiaohui Song, Liangjun Zang, Yipeng Su, Xing Wu, Jizhong Han, Songlin Hu
2019	J	`jnl`	"Mask and Infill" : Applying Masked Language Model to Sentiment Transfer. CoRR Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu
2019	—	`conf`	Conditional BERT Contextual Augmentation. ICCS (4) Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, Songlin Hu
2019	—	`conf`	Imbalanced Sentiment Classification Enhanced with Discourse Marker. ICANN (4) Tao Zhang, Xing Wu, Meng Lin, Jizhong Han, Songlin Hu
2019	J	`jnl`	Imbalanced Sentiment Classification Enhanced with Discourse Marker. CoRR Tao Zhang, Xing Wu, Meng Lin, Jizhong Han, Songlin Hu
2019	A*	`conf`	Mask and Infill: Applying Masked Language Model for Sentiment Transfer. IJCAI Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu
2019	J	`jnl`	TransSent: Towards Generation of Structured Sentences with Discourse Marker. CoRR Xing Wu, Tao Zhang, Liangjun Zang, Jizhong Han, Songlin Hu
2018	J	`jnl`	Conditional BERT Contextual Augmentation. CoRR Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, Songlin Hu