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2020 – today
- 2024
[c11]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- [c10]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 - [c9]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 - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]Zhijie Nie, Zhangchi Feng, Mingxin Li, Cunwang Zhang, Yanzhao Zhang, Dingkun Long, Richong Zhang:
When Text Embedding Meets Large Language Model: A Comprehensive Survey. CoRR abs/2412.09165 (2024) - 2023
- [j3]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) - [c8]Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie:
Text Representation Distillation via Information Bottleneck Principle. EMNLP 2023: 14372-14383 - [i14]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) - [i13]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) - [i12]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) - [i11]Xin Zhang, Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang:
Language Models are Universal Embedders. CoRR abs/2310.08232 (2023) - [i10]Yanzhao Zhang, Dingkun Long, Zehan Li, Pengjun Xie:
Text Representation Distillation via Information Bottleneck Principle. CoRR abs/2311.05472 (2023) - [i9]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) - 2022
- [c7]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 - [c6]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 - [c5]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 - [i8]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) - [i7]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) - [i6]Dingkun Long, Yanzhao Zhang, Guangwei Xu, Pengjun Xie:
Retrieval Oriented Masking Pre-training Language Model for Dense Passage Retrieval. CoRR abs/2210.15133 (2022) - [i5]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) - 2021
- [c4]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 - 2020
- [c3]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 - [c2]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 - [c1]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 - [i4]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) - [i3]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
- [j2]Dingkun Long, Richong Zhang, Yongyi Mao:
Recurrent Neural Networks With Finite Memory Length. IEEE Access 7: 12511-12520 (2019) - [i2]Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao:
Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks. CoRR abs/1903.00906 (2019) - 2018
- [j1]Dingkun Long, Richong Zhang, Yongyi Mao:
Prototypical recurrent unit. Neurocomputing 311: 146-154 (2018) - 2016
- [i1]Dingkun Long, Richong Zhang, Yongyi Mao:
Prototypical Recurrent Unit. CoRR abs/1611.06530 (2016)
Coauthor Index
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