Pengjun Xie

According to our database, Pengjun Xie authored at least 69 papers between 2017 and 2024.

Collaborative distances:

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

2024

Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark.

Zhikun Xu, Yinghui Li, Ruixue Ding, Xinyu Wang, Boli Chen, Yong Jiang, Hai-Tao Zheng, Wenlian Lu, Pengjun Xie, Fei Huang

CoRR, 2024

A Comprehensive Study of Knowledge Editing for Large Language Models.

Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen

CoRR, 2024

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking.

Yong Cao, Ruixue Ding, Boli Chen, Xianzhi Li, Min Chen, Daniel Hershcovich, Pengjun Xie, Fei Huang

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding.

Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce.

Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Haitao Zheng, Pengjun Xie, Fei Huang, Yong Jiang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network.

Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Fine-Grained Domain Adaptation for Chinese Syntactic Processing.

Meishan Zhang, Peiming Guo, Peijie Jiang, Dingkun Long, Yueheng Sun, Guangwei Xu, Pengjun Xie, Min Zhang

ACM Trans. Asian Low Resour. Lang. Inf. Process., November, 2023

EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data.

Shirong Ma, Shen Huang, Shulin Huang, Xiaobin Wang, Yangning Li, Hai-Tao Zheng, Pengjun Xie, Fei Huang, Yong Jiang

CoRR, 2023

RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement.

Longhui Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang

CoRR, 2023

Language Models are Universal Embedders.

Xin Zhang, Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang

CoRR, 2023

Editing Personality for LLMs.

Shengyu Mao, Ningyu Zhang, Xiaohan Wang, Mengru Wang, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen

CoRR, 2023

Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track.

Guangwei Xu, Yanzhao Zhang, Longhui Zhang, Dingkun Long, Pengjun Xie, Ruijie Guo

CoRR, 2023

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding.

Tianyu Yu, Chengyue Jiang, Chao Lou, Shen Huang, Xiaobin Wang, Wei Liu, Jiong Cai, Yangning Li, Yinghui Li, Kewei Tu, Hai-Tao Zheng, Ningyu Zhang, Pengjun Xie, Fei Huang, Yong Jiang

CoRR, 2023

EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce.

Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Hai-Tao Zheng, Pengjun Xie, Fei Huang, Yong Jiang

CoRR, 2023

Towards General Text Embeddings with Multi-stage Contrastive Learning.

Zehan Li, Xin Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang

CoRR, 2023

Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model.

Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu

CoRR, 2023

Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking.

Yinghui Li, Yong Jiang, Shen Huang, Xingyu Lu, Yangning Li, Pengjun Xie, Fei Huang, Hai-Tao Zheng

CoRR, 2023

Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval.

Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie

CoRR, 2023

GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark.

Dongyang Li, Ruixue Ding, Qiang Zhang, Zheng Li, Boli Chen, Pengjun Xie, Yao Xu, Xin Li, Ning Guo, Fei Huang, Xiaofeng He

CoRR, 2023

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.

Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang, Yong Jiang

CoRR, 2023

Zero-Shot Information Extraction via Chatting with ChatGPT.

Xiang Wei, Xingyu Cui, Ning Cheng, Xiaobin Wang, Xin Zhang, Shen Huang, Pengjun Xie, Jinan Xu, Yufeng Chen, Meishan Zhang, Yong Jiang, Wenjuan Han

CoRR, 2023

A Multi-Modal Geographic Pre-Training Method.

Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu

CoRR, 2023

MGeo: Multi-Modal Geographic Language Model Pre-Training.

Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition.

Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Text Representation Distillation via Information Bottleneck Principle.

Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie

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

COMBO: A Complete Benchmark for Open KG Canonicalization.

Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Do PLMs Know and Understand Ontological Knowledge?

Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing.

Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks.

Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu

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

MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition.

Jinyuan Fang, Xiaobin Wang, Zaiqiao Meng, Pengjun Xie, Fei Huang, Yong Jiang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Few-shot Classification with Hypersphere Modeling of Prototypes.

Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Haitao Zheng, Zhiyuan Liu, Pengjun Xie

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

Exploring Lottery Prompts for Pre-trained Language Models.

Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Haitao Zheng, Zhiyuan Liu, Pengjun Xie

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Graph Propagation based Data Augmentation for Named Entity Recognition.

Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie, Kewei Tu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Adversarial Self-Attention for Language Understanding.

Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang

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

2022

Named Entity and Relation Extraction with Multi-Modal Retrieval.

Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu

CoRR, 2022

Retrieval Oriented Masking Pre-training Language Model for Dense Passage Retrieval.

Dingkun Long, Yanzhao Zhang, Guangwei Xu, Pengjun Xie

CoRR, 2022

EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks.

Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu

CoRR, 2022

HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking.

Yanzhao Zhang, Dingkun Long, Guangwei Xu, Pengjun Xie

CoRR, 2022

Hybrid Retrieval and Multi-stage Ranking at TREC 2022 Deep Learning Track.

Guangwei Xu, Yanzhao Zhang, Longhui Zhang, Dingkun Long, Pengjun Xie, Ruijie Guo

Proceedings of the Thirty-First Text REtrieval Conference, 2022

Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval.

Dingkun Long, Qiong Gao, Kuan Zou, Guangwei Xu, Pengjun Xie, Ruijie Guo, Jian Xu, Guanjun Jiang, Luxi Xing, Ping Yang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition.

Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking.

Shen Huang, Yuchen Zhai, Xinwei Long, Yong Jiang, Xiaobin Wang, Yin Zhang, Pengjun Xie

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting.

Linzhi Wu, Pengjun Xie, Jie Zhou, Meishan Zhang, Chunping Ma, Guangwei Xu, Min Zhang

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

AISHELL-NER: Named Entity Recognition from Chinese Speech.

Boli Chen, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Meishan Zhang, Fei Huang

Proceedings of the IEEE International Conference on Acoustics, 2022

Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning.

Hongqiu Wu, Ruixue Ding, Hai Zhao, Boli Chen, Pengjun Xie, Fei Huang, Min Zhang

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

Named Entity and Relation Extraction with Multi-Modal Retrieval.

Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu

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

Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling.

Peijie Jiang, Dingkun Long, Yanzhao Zhang, Pengjun Xie, Meishan Zhang, Min Zhang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field.

Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Prompt-learning for Fine-grained Entity Typing.

Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Haitao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim

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

Domain-Specific NER via Retrieving Correlated Samples.

Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang

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

Parallel Instance Query Network for Named Entity Recognition.

Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang

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

2021

Prompt-Learning for Fine-Grained Entity Typing.

Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim

CoRR, 2021

Prototypical Representation Learning for Relation Extraction.

Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang

Proceedings of the 9th International Conference on Learning Representations, 2021

Probing BERT in Hyperbolic Spaces.

Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing

Proceedings of the 9th International Conference on Learning Representations, 2021

A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS Tagging.

Peijie Jiang, Dingkun Long, Yueheng Sun, Meishan Zhang, Guangwei Xu, Pengjun Xie

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition.

Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Pengjun Xie

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Few-NERD: A Few-shot Named Entity Recognition Dataset.

Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Counterfactual Inference for Text Classification Debiasing.

Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, Pengjun Xie

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity.

Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference.

Haoyu Zhang, Dingkun Long, Guangwei Xu, Pengjun Xie, Fei Huang, Ji Wang

CoRR, 2020

Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling.

Haoyu Zhang, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Fei Huang, Ji Wang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Hierarchy-Aware Global Model for Hierarchical Text Classification.

Jie Zhou, Chunping Ma, Dingkun Long, Guangwei Xu, Ning Ding, Haoyu Zhang, Pengjun Xie, Gongshen Liu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation.

Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, Haitao Zheng

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

DM_NLP at SemEval-2018 Task 12: A Pipeline System for Toponym Resolution.

Xiaobin Wang, Chunping Ma, Huafei Zheng, Chu Liu, Pengjun Xie, Linlin Li, Luo Si

Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

Neural Chinese Address Parsing.

Hao Li, Wei Lu, Pengjun Xie, Linlin Li

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Better Modeling of Incomplete Annotations for Named Entity Recognition.

Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

A Neural Multi-digraph Model for Chinese NER with Gazetteers.

Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si

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

2018

DM_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features.

Chunping Ma, Huafei Zheng, Pengjun Xie, Chen Li, Linlin Li, Si Luo

Proceedings of The 12th International Workshop on Semantic Evaluation, 2018

2017

Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis Task.

Yi Yang, Pengjun Xie, Jun Tao, Guangwei Xu, Linlin Li, Si Luo

Proceedings of the IJCNLP 2017, Shared Tasks, Taipei, Taiwan, November 27, 2017