default search action
Pengjun Xie
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c57]Xuming Hu, Zhaochen Hong, Yong Jiang, Zhichao Lin, Xiaobin Wang, Pengjun Xie, Philip S. Yu:
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network. AAAI 2024: 18261-18269 - [c56]Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Haitao Zheng, Pengjun Xie, Fei Huang, Yong Jiang:
EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce. AAAI 2024: 18582-18590 - [c55]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:
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding. AAAI 2024: 19458-19467 - [c54]Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts. ACL (Findings) 2024: 7683-7694 - [c53]Longhui Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang:
A Two-Stage Adaptation of Large Language Models for Text Ranking. ACL (Findings) 2024: 11880-11891 - [c52]Longhui Zhang, Dingkun Long, Meishan Zhang, Yanzhao Zhang, Pengjun Xie, Min Zhang:
Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training. LREC/COLING 2024: 3179-3191 - [c51]Yong Cao, Ruixue Ding, Boli Chen, Xianzhi Li, Min Chen, Daniel Hershcovich, Pengjun Xie, Fei Huang:
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking. EACL (1) 2024: 1516-1530 - [c50]Shengyu Mao, Yong Jiang, Boli Chen, Xiao Li, Peng Wang, Xinyu Wang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
RaFe: Ranking Feedback Improves Query Rewriting for RAG. EMNLP (Findings) 2024: 884-901 - [c49]Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang:
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process. EMNLP 2024: 1266-1280 - [c48]Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang:
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval. EMNLP (Industry Track) 2024: 1393-1412 - [c47]Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Mechanisms in Large Language Models: A Survey and Perspective. EMNLP (Findings) 2024: 7097-7135 - [c46]Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang:
Retrieved In-Context Principles from Previous Mistakes. EMNLP 2024: 8155-8169 - [c45]Feiteng Mu, Yong Jiang, Liwen Zhang, Chu Liu, Wenjie Li, Pengjun Xie, Fei Huang:
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario. EMNLP (Findings) 2024: 10225-10230 - [c44]Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang:
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning. NAACL-HLT 2024: 5657-5667 - [c43]Dongyang Li, Ruixue Ding, Pengjun Xie, Xiaofeng He:
MCFC: A Momentum-Driven Clicked Feature Compressed Pre-trained Language Model for Information Retrieval. NLPCC (1) 2024: 69-82 - [c42]Shengyu Mao, Xiaohan Wang, Mengru Wang, Yong Jiang, Pengjun Xie, Fei Huang, Ningyu Zhang:
Editing Personality For Large Language Models. NLPCC (2) 2024: 241-254 - [i64]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:
A Comprehensive Study of Knowledge Editing for Large Language Models. CoRR abs/2401.01286 (2024) - [i63]Zhikun Xu, Yinghui Li, Ruixue Ding, Xinyu Wang, Boli Chen, Yong Jiang, Hai-Tao Zheng, Wenlian Lu, Pengjun Xie, Fei Huang:
Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark. CoRR abs/2402.19248 (2024) - [i62]Zhuo Chen, Xinyu Wang, Yong Jiang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts. CoRR abs/2404.02022 (2024) - [i61]Longhui Zhang, Dingkun Long, Meishan Zhang, Yanzhao Zhang, Pengjun Xie, Min Zhang:
Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training. CoRR abs/2404.05560 (2024) - [i60]Xiao Li, Yong Jiang, Shen Huang, Pengjun Xie, Gong Cheng, Fei Huang:
Exploring Key Point Analysis with Pairwise Generation and Graph Partitioning. CoRR abs/2404.11384 (2024) - [i59]Shuofei Qiao, Runnan Fang, Ningyu Zhang, Yuqi Zhu, Xiang Chen, Shumin Deng, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
Agent Planning with World Knowledge Model. CoRR abs/2405.14205 (2024) - [i58]Shengyu Mao, Yong Jiang, Boli Chen, Xiao Li, Peng Wang, Xinyu Wang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
RaFe: Ranking Feedback Improves Query Rewriting for RAG. CoRR abs/2405.14431 (2024) - [i57]Peng Wang, Zexi Li, Ningyu Zhang, Ziwen Xu, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models. CoRR abs/2405.14768 (2024) - [i56]Zile Qiao, Wei Ye, Yong Jiang, Tong Mo, Pengjun Xie, Weiping Li, Fei Huang, Shikun Zhang:
Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling. CoRR abs/2406.08116 (2024) - [i55]Feiteng Mu, Yong Jiang, Liwen Zhang, Chu Liu, Wenjie Li, Pengjun Xie, Fei Huang:
Adaptive Selection for Homogeneous Tools: An Instantiation in the RAG Scenario. CoRR abs/2406.12429 (2024) - [i54]Jingheng Ye, Yong Jiang, Xiaobin Wang, Yinghui Li, Yangning Li, Hai-Tao Zheng, Pengjun Xie, Fei Huang:
ProductAgent: Benchmarking Conversational Product Search Agent with Asking Clarification Questions. CoRR abs/2407.00942 (2024) - [i53]Hao Sun, Yong Jiang, Bo Wang, Yingyan Hou, Yan Zhang, Pengjun Xie, Fei Huang:
Retrieved In-Context Principles from Previous Mistakes. CoRR abs/2407.05682 (2024) - [i52]Mengru Wang, Yunzhi Yao, Ziwen Xu, Shuofei Qiao, Shumin Deng, Peng Wang, Xiang Chen, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen, Ningyu Zhang:
Knowledge Mechanisms in Large Language Models: A Survey and Perspective. CoRR abs/2407.15017 (2024) - [i51]Chaoyi Ai, Yong Jiang, Shen Huang, Pengjun Xie, Kewei Tu:
Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation. CoRR abs/2407.18562 (2024) - [i50]Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang:
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval. CoRR abs/2407.19669 (2024) - [i49]Peng Wang, Xiaobin Wang, Chao Lou, Shengyu Mao, Pengjun Xie, Yong Jiang:
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process. CoRR abs/2408.02103 (2024) - [i48]Peiming Guo, Sinuo Liu, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang:
An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation. CoRR abs/2408.08650 (2024) - [i47]Shuofei Qiao, Runnan Fang, Zhisong Qiu, Xiaobin Wang, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
Benchmarking Agentic Workflow Generation. CoRR abs/2410.07869 (2024) - [i46]Jintao Liu, Ruixue Ding, Linhao Zhang, Pengjun Xie, Fie Huang:
CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data Diversity. CoRR abs/2410.12248 (2024) - [i45]Mingxin Li, Zhijie Nie, Yanzhao Zhang, Dingkun Long, Richong Zhang, Pengjun Xie:
Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging. CoRR abs/2410.15035 (2024) - [i44]Ziyang Chen, Xiaobin Wang, Yong Jiang, Jinzhi Liao, Pengjun Xie, Fei Huang, Xiang Zhao:
An Adaptive Framework for Generating Systematic Explanatory Answer in Online Q&A Platforms. CoRR abs/2410.17694 (2024) - 2023
- [j1]Meishan Zhang, Peiming Guo, Peijie Jiang, Dingkun Long, Yueheng Sun, Guangwei Xu, Pengjun Xie, Min Zhang:
Fine-Grained Domain Adaptation for Chinese Syntactic Processing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(11): 251:1-251:24 (2023) - [c41]Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang:
Adversarial Self-Attention for Language Understanding. AAAI 2023: 13727-13735 - [c40]Jiong Cai, Shen Huang, Yong Jiang, Zeqi Tan, Pengjun Xie, Kewei Tu:
Graph Propagation based Data Augmentation for Named Entity Recognition. ACL (2) 2023: 110-118 - [c39]Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Haitao Zheng, Zhiyuan Liu, Pengjun Xie:
Few-shot Classification with Hypersphere Modeling of Prototypes. ACL (Findings) 2023: 895-917 - [c38]Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu:
Do PLMs Know and Understand Ontological Knowledge? ACL (1) 2023: 3080-3101 - [c37]Jinyuan Fang, Xiaobin Wang, Zaiqiao Meng, Pengjun Xie, Fei Huang, Yong Jiang:
MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition. ACL (1) 2023: 4261-4276 - [c36]Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu:
Entity-to-Text based Data Augmentation for various Named Entity Recognition Tasks. ACL (Findings) 2023: 9072-9087 - [c35]Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu:
Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. ACL (1) 2023: 11597-11609 - [c34]Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Haitao Zheng, Zhiyuan Liu, Pengjun Xie:
Exploring Lottery Prompts for Pre-trained Language Models. ACL (1) 2023: 15428-15444 - [c33]Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu:
COMBO: A Complete Benchmark for Open KG Canonicalization. EACL 2023: 340-357 - [c32]Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie:
Text Representation Distillation via Information Bottleneck Principle. EMNLP 2023: 14372-14383 - [c31]Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang:
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition. SemEval@ACL 2023: 2014-2028 - [c30]Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu:
MGeo: Multi-Modal Geographic Language Model Pre-Training. SIGIR 2023: 185-194 - [i43]Ruixue Ding, Boli Chen, Pengjun Xie, Fei Huang, Xin Li, Qiang Zhang, Yao Xu:
A Multi-Modal Geographic Pre-Training Method. CoRR abs/2301.04283 (2023) - [i42]Chengyue Jiang, Yong Jiang, Weiqi Wu, Yuting Zheng, Pengjun Xie, Kewei Tu:
COMBO: A Complete Benchmark for Open KG Canonicalization. CoRR abs/2302.03905 (2023) - [i41]Xiang Wei, Xingyu Cui, Ning Cheng, Xiaobin Wang, Xin Zhang, Shen Huang, Pengjun Xie, Jinan Xu, Yufeng Chen, Meishan Zhang, Yong Jiang, Wenjuan Han:
Zero-Shot Information Extraction via Chatting with ChatGPT. CoRR abs/2302.10205 (2023) - [i40]Zeqi Tan, Shen Huang, Zixia Jia, Jiong Cai, Yinghui Li, Weiming Lu, Yueting Zhuang, Kewei Tu, Pengjun Xie, Fei Huang, Yong Jiang:
DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition. CoRR abs/2305.03688 (2023) - [i39]Dongyang Li, Ruixue Ding, Qiang Zhang, Zheng Li, Boli Chen, Pengjun Xie, Yao Xu, Xin Li, Ning Guo, Fei Huang, Xiaofeng He:
GeoGLUE: A GeoGraphic Language Understanding Evaluation Benchmark. CoRR abs/2305.06545 (2023) - [i38]Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie:
Challenging Decoder helps in Masked Auto-Encoder Pre-training for Dense Passage Retrieval. CoRR abs/2305.13197 (2023) - [i37]Yulin Chen, Ning Ding, Xiaobin Wang, Shengding Hu, Hai-Tao Zheng, Zhiyuan Liu, Pengjun Xie:
Exploring Lottery Prompts for Pre-trained Language Models. CoRR abs/2305.19500 (2023) - [i36]Yinghui Li, Yong Jiang, Shen Huang, Xingyu Lu, Yangning Li, Pengjun Xie, Fei Huang, Hai-Tao Zheng:
Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking. CoRR abs/2306.12245 (2023) - [i35]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:
Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. CoRR abs/2307.00370 (2023) - [i34]Zehan Li, Xin Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang:
Towards General Text Embeddings with Multi-stage Contrastive Learning. CoRR abs/2308.03281 (2023) - [i33]Yangning Li, Shirong Ma, Xiaobin Wang, Shen Huang, Chengyue Jiang, Hai-Tao Zheng, Pengjun Xie, Fei Huang, Yong Jiang:
EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce. CoRR abs/2308.06966 (2023) - [i32]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:
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding. CoRR abs/2308.10529 (2023) - [i31]Guangwei Xu, Yanzhao Zhang, Longhui Zhang, Dingkun Long, Pengjun Xie, Ruijie Guo:
Hybrid Retrieval and Multi-stage Text Ranking Solution at TREC 2022 Deep Learning Track. CoRR abs/2308.12039 (2023) - [i30]Yong Cao, Ruixue Ding, Boli Chen, Xianzhi Li, Min Chen, Daniel Hershcovich, Pengjun Xie, Fei Huang:
Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking. CoRR abs/2309.01606 (2023) - [i29]Weiqi Wu, Chengyue Jiang, Yong Jiang, Pengjun Xie, Kewei Tu:
Do PLMs Know and Understand Ontological Knowledge? CoRR abs/2309.05936 (2023) - [i28]Shengyu Mao, Ningyu Zhang, Xiaohan Wang, Mengru Wang, Yunzhi Yao, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
Editing Personality for LLMs. CoRR abs/2310.02168 (2023) - [i27]Xin Zhang, Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang:
Language Models are Universal Embedders. CoRR abs/2310.08232 (2023) - [i26]Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie:
Text Representation Distillation via Information Bottleneck Principle. CoRR abs/2311.05472 (2023) - [i25]Longhui Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang:
RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement. CoRR abs/2311.16720 (2023) - [i24]Shirong Ma, Shen Huang, Shulin Huang, Xiaobin Wang, Yangning Li, Hai-Tao Zheng, Pengjun Xie, Fei Huang, Yong Jiang:
EcomGPT-CT: Continual Pre-training of E-commerce Large Language Models with Semi-structured Data. CoRR abs/2312.15696 (2023) - 2022
- [c29]Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang:
Parallel Instance Query Network for Named Entity Recognition. ACL (1) 2022: 947-961 - [c28]Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang:
Domain-Specific NER via Retrieving Correlated Samples. COLING 2022: 2398-2404 - [c27]Peijie Jiang, Dingkun Long, Yanzhao Zhang, Pengjun Xie, Meishan Zhang, Min Zhang:
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling. EMNLP 2022: 526-537 - [c26]Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu:
Named Entity and Relation Extraction with Multi-Modal Retrieval. EMNLP (Findings) 2022: 5925-5936 - [c25]Hongqiu Wu, Ruixue Ding, Hai Zhao, Boli Chen, Pengjun Xie, Fei Huang, Min Zhang:
Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning. EMNLP (Findings) 2022: 6454-6466 - [c24]Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu:
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. EMNLP 2022: 6836-6847 - [c23]Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Haitao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim:
Prompt-learning for Fine-grained Entity Typing. EMNLP (Findings) 2022: 6888-6901 - [c22]Boli Chen, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Meishan Zhang, Fei Huang:
AISHELL-NER: Named Entity Recognition from Chinese Speech. ICASSP 2022: 8352-8356 - [c21]Linzhi Wu, Pengjun Xie, Jie Zhou, Meishan Zhang, Chunping Ma, Guangwei Xu, Min Zhang:
Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting. NAACL-HLT 2022: 4049-4060 - [c20]Shen Huang, Yuchen Zhai, Xinwei Long, Yong Jiang, Xiaobin Wang, Yin Zhang, Pengjun Xie:
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking. NLPCC (2) 2022: 284-293 - [c19]Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang:
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition. SemEval@NAACL 2022: 1457-1468 - [c18]Dingkun Long, Qiong Gao, Kuan Zou, Guangwei Xu, Pengjun Xie, Ruijie Guo, Jian Xu, Guanjun Jiang, Luxi Xing, Ping Yang:
Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval. SIGIR 2022: 3046-3056 - [c17]Guangwei Xu, Yanzhao Zhang, Longhui Zhang, Dingkun Long, Pengjun Xie, Ruijie Guo:
Hybrid Retrieval and Multi-stage Ranking at TREC 2022 Deep Learning Track. TREC 2022 - [i23]Boli Chen, Guangwei Xu, Xiaobin Wang, Pengjun Xie, Meishan Zhang, Fei Huang:
AISHELL-NER: Named Entity Recognition from Chinese Speech. CoRR abs/2202.08533 (2022) - [i22]Xinyu Wang, Yongliang Shen, Jiong Cai, Tao Wang, Xiaobin Wang, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang, Kewei Tu, Wei Lu, Yong Jiang:
DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition. CoRR abs/2203.00545 (2022) - [i21]Dingkun Long, Qiong Gao, Kuan Zou, Guangwei Xu, Pengjun Xie, Ruijie Guo, Jian Xu, Guanjun Jiang, Luxi Xing, Ping Yang:
Multi-CPR: A Multi Domain Chinese Dataset for Passage Retrieval. CoRR abs/2203.03367 (2022) - [i20]Yongliang Shen, Xiaobin Wang, Zeqi Tan, Guangwei Xu, Pengjun Xie, Fei Huang, Weiming Lu, Yueting Zhuang:
Parallel Instance Query Network for Named Entity Recognition. CoRR abs/2203.10545 (2022) - [i19]Linzhi Wu, Pengjun Xie, Jie Zhou, Meishan Zhang, Chunping Ma, Guangwei Xu, Min Zhang:
Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting. CoRR abs/2204.11406 (2022) - [i18]Yanzhao Zhang, Dingkun Long, Guangwei Xu, Pengjun Xie:
HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking. CoRR abs/2205.10569 (2022) - [i17]Xin Zhang, Yong Jiang, Xiaobin Wang, Xuming Hu, Yueheng Sun, Pengjun Xie, Meishan Zhang:
Domain-Specific NER via Retrieving Correlated Samples. CoRR abs/2208.12995 (2022) - [i16]Shen Huang, Yuchen Zhai, Xinwei Long, Yong Jiang, Xiaobin Wang, Yin Zhang, Pengjun Xie:
DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking. CoRR abs/2209.13187 (2022) - [i15]Hongqiu Wu, Ruixue Ding, Hai Zhao, Boli Chen, Pengjun Xie, Fei Huang, Min Zhang:
Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning. CoRR abs/2210.10293 (2022) - [i14]Xuming Hu, Yong Jiang, Aiwei Liu, Zhongqiang Huang, Pengjun Xie, Fei Huang, Lijie Wen, Philip S. Yu:
EnTDA: Entity-to-Text based Data Augmentation Approach for Named Entity Recognition Tasks. CoRR abs/2210.10343 (2022) - [i13]Dingkun Long, Yanzhao Zhang, Guangwei Xu, Pengjun Xie:
Retrieval Oriented Masking Pre-training Language Model for Dense Passage Retrieval. CoRR abs/2210.15133 (2022) - [i12]Peijie Jiang, Dingkun Long, Yanzhao Zhang, Pengjun Xie, Meishan Zhang, Min Zhang:
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling. CoRR abs/2210.15231 (2022) - [i11]Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Hai-Tao Zheng, Zhiyuan Liu, Pengjun Xie:
Few-shot Classification with Hypersphere Modeling of Prototypes. CoRR abs/2211.05319 (2022) - [i10]Chengyue Jiang, Yong Jiang, Weiqi Wu, Pengjun Xie, Kewei Tu:
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field. CoRR abs/2212.01581 (2022) - [i9]Xinyu Wang, Jiong Cai, Yong Jiang, Pengjun Xie, Kewei Tu, Wei Lu:
Named Entity and Relation Extraction with Multi-Modal Retrieval. CoRR abs/2212.01612 (2022) - [i8]Chengyue Jiang, Wenyang Hui, Yong Jiang, Xiaobin Wang, Pengjun Xie, Kewei Tu:
Recall, Expand and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing. CoRR abs/2212.09125 (2022) - 2021
- [c16]Binling Nie, Ruixue Ding, Pengjun Xie, Fei Huang, Chen Qian, Luo Si:
Knowledge-aware Named Entity Recognition with Alleviating Heterogeneity. AAAI 2021: 13595-13603 - [c15]Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu:
Few-NERD: A Few-shot Named Entity Recognition Dataset. ACL/IJCNLP (1) 2021: 3198-3213 - [c14]Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, Pengjun Xie:
Counterfactual Inference for Text Classification Debiasing. ACL/IJCNLP (1) 2021: 5434-5445 - [c13]Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Pengjun Xie:
Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition. ACL/IJCNLP (1) 2021: 5558-5570 - [c12]Peijie Jiang, Dingkun Long, Yueheng Sun, Meishan Zhang, Guangwei Xu, Pengjun Xie:
A Fine-Grained Domain Adaption Model for Joint Word Segmentation and POS Tagging. EMNLP (1) 2021: 3587-3598 - [c11]Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing:
Probing BERT in Hyperbolic Spaces. ICLR 2021 - [c10]Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Haitao Zheng, Rui Zhang:
Prototypical Representation Learning for Relation Extraction. ICLR 2021 - [i7]Ning Ding, Xiaobin Wang, Yao Fu, Guangwei Xu, Rui Wang, Pengjun Xie, Ying Shen, Fei Huang, Hai-Tao Zheng, Rui Zhang:
Prototypical Representation Learning for Relation Extraction. CoRR abs/2103.11647 (2021) - [i6]Boli Chen, Yao Fu, Guangwei Xu, Pengjun Xie, Chuanqi Tan, Mosha Chen, Liping Jing:
Probing BERT in Hyperbolic Spaces. CoRR abs/2104.03869 (2021) - [i5]Ning Ding, Guangwei Xu, Yulin Chen, Xiaobin Wang, Xu Han, Pengjun Xie, Haitao Zheng, Zhiyuan Liu:
Few-NERD: A Few-Shot Named Entity Recognition Dataset. CoRR abs/2105.07464 (2021) - [i4]Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Pengjun Xie:
Crowdsourcing Learning as Domain Adaptation: A Case Study on Named Entity Recognition. CoRR abs/2105.14980 (2021) - [i3]Ning Ding, Yulin Chen, Xu Han, Guangwei Xu, Pengjun Xie, Hai-Tao Zheng, Zhiyuan Liu, Juanzi Li, Hong-Gee Kim:
Prompt-Learning for Fine-Grained Entity Typing. CoRR abs/2108.10604 (2021) - 2020
- [c9]Jie Zhou, Chunping Ma, Dingkun Long, Guangwei Xu, Ning Ding, Haoyu Zhang, Pengjun Xie, Gongshen Liu:
Hierarchy-Aware Global Model for Hierarchical Text Classification. ACL 2020: 1106-1117 - [c8]Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, Haitao Zheng:
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation. ACL 2020: 6662-6671 - [c7]Haoyu Zhang, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Fei Huang, Ji Wang:
Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling. IJCAI 2020: 3808-3815 - [i2]Ning Ding, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Xiaobin Wang, Haitao Zheng:
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation. CoRR abs/2007.08186 (2020) - [i1]Haoyu Zhang, Dingkun Long, Guangwei Xu, Pengjun Xie, Fei Huang, Ji Wang:
Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference. CoRR abs/2010.12828 (2020)
2010 – 2019
- 2019
- [c6]Ruixue Ding, Pengjun Xie, Xiaoyan Zhang, Wei Lu, Linlin Li, Luo Si:
A Neural Multi-digraph Model for Chinese NER with Gazetteers. ACL (1) 2019: 1462-1467 - [c5]Zhanming Jie, Pengjun Xie, Wei Lu, Ruixue Ding, Linlin Li:
Better Modeling of Incomplete Annotations for Named Entity Recognition. NAACL-HLT (1) 2019: 729-734 - [c4]Hao Li, Wei Lu, Pengjun Xie, Linlin Li:
Neural Chinese Address Parsing. NAACL-HLT (1) 2019: 3421-3431 - [c3]Xiaobin Wang, Chunping Ma, Huafei Zheng, Chu Liu, Pengjun Xie, Linlin Li, Luo Si:
DM_NLP at SemEval-2018 Task 12: A Pipeline System for Toponym Resolution. SemEval@NAACL-HLT 2019: 917-923 - 2018
- [c2]Chunping Ma, Huafei Zheng, Pengjun Xie, Chen Li, Linlin Li, Si Luo:
DM_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features. SemEval@NAACL-HLT 2018: 707-711 - 2017
- [c1]Yi Yang, Pengjun Xie, Jun Tao, Guangwei Xu, Linlin Li, Si Luo:
Alibaba at IJCNLP-2017 Task 1: Embedding Grammatical Features into LSTMs for Chinese Grammatical Error Diagnosis Task. IJCNLP (Shared Tasks) 2017: 41-46
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-01 00:10 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint