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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
[c56] [c55] [c54] [c51] [c50] [c48] [c47] [c46] [c44] [c42] [i64] [i63] [i62] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [i50] [i47] [i44] [c41] [c37] [c36] [c31] [c30] [i43] [i40] [i39] [i36] [i35] [i33] [i32] [i30] [i28] [i24] [c29] [c25] [c22] [c19] [i23] [i22] [i20] [i15] [i14] [c16] [c10] [i7]
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