Dingkun Long

According to our database, Dingkun Long authored at least 25 papers between 2018 and 2024.

Collaborative distances:

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

2024

Improving General Text Embedding Model: Tackling Task Conflict and Data Imbalance through Model Merging.

Mingxin Li, Zhijie Nie, Yanzhao Zhang, Dingkun Long, Richong Zhang, Pengjun Xie

CoRR, 2024

An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation.

Peiming Guo, Sinuo Liu, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang

CoRR, 2024

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval.

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training.

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

A Two-Stage Adaptation of Large Language Models for Text Ranking.

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

Proceedings of the Findings of the Association for Computational Linguistics, 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

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

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

Towards General Text Embeddings with Multi-stage Contrastive Learning.

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

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

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

2022

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

Dingkun Long, Yanzhao Zhang, Guangwei Xu, Pengjun Xie

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

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

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

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

Understanding Feature Selection and Feature Memorization in Recurrent Neural Networks.

Bokang Zhu, Richong Zhang, Dingkun Long, Yongyi Mao

CoRR, 2019

Recurrent Neural Networks With Finite Memory Length.

Dingkun Long, Richong Zhang, Yongyi Mao

IEEE Access, 2019

2018

Prototypical recurrent unit.

Dingkun Long, Richong Zhang, Yongyi Mao

Neurocomputing, 2018