---
title: "Daxin Jiang — all works — Elamur Research"
description: "All 26 works of Daxin Jiang in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/daxin-jiang/works/"
---
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# Daxin Jiang — all works

26 works · [← Daxin Jiang](https://md.research.elamur.ai/free/en/authors/daxin-jiang/)

1. **[CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://md.research.elamur.ai/free/en/papers/feng-2020-codebert-pre-trained-model-programming/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhangyin Feng, Daya Guo, Duyu Tang, et al.*2020 · 2,967 citations*
2. **[Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training ↗](https://doi.org/10.1609/aaai.v34i07.6795) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Gen Li et al.*2020 · 925 citations*
3. **[WizardLM: Empowering large pre-trained language models to follow complex instructions](https://md.research.elamur.ai/free/en/papers/xu-2023-wizardlm-empowering-large-pre-trained/) [International Conference on Learning Representations (ICLR)](https://md.research.elamur.ai/free/en/venues/international-conference-on-learning-representations-iclr/)**Can Xu, Qingfeng Sun, Kai Zheng, et al.*2023 · 741 citations*
4. [**K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters arXiv:2002.01808**Ruize Wang, Duyu Tang, Nan Duan, et al.*2020 · 666 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-k-adapter-infusing-knowledge-pre/)
5. [**Text Embeddings by Weakly-Supervised Contrastive Pre-training arXiv:2212.03533**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2022 · 598 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-text-embeddings-weakly-supervised-contrastive/)
6. **[XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation](https://md.research.elamur.ai/free/en/papers/liang-2020-xglue-new-benchmark-dataset-cross/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yaobo Liang, Nan Duan, Yeyun Gong, et al.*2020 · 358 citations*
7. **[Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks](https://md.research.elamur.ai/free/en/papers/huang-2019-unicoder-universal-language-encoder-pre/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Haoyang Huang, Yaobo Liang, Nan Duan, et al.*2019 · 265 citations*
8. **[Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering ↗](https://doi.org/10.1609/aaai.v34i05.6364) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Shangwen Lv et al.*2020 · 247 citations*
9. **[Context-aware query classification ↗](https://doi.org/10.1145/1571941.1571945) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Huanhuan Cao et al.*2009 · 161 citations*
10. **[Joint Type Inference on Entities and Relations via Graph Convolutional Networks ↗](https://aclanthology.org/P19-1131/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Changzhi Sun et al.*2019 · 157 citations*
11. **[Reinforced Multi-Teacher Selection for Knowledge Distillation ↗](https://arxiv.org/abs/2012.06048) arXiv:2012.06048 · no summary yet**Fei Yuan et al.*2020 · 143 citations*
12. **[Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model](https://md.research.elamur.ai/free/en/papers/hu-2025-open-reasoner-zero-open-source/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Jingcheng Hu, Yinmin Zhang, Qi Han, et al.*2025 · 128 citations*
13. **[WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach ↗](https://aclanthology.org/2021.findings-emnlp.23/) Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yet**Junjie Huang et al.*2021 · 128 citations*
14. **[PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks ↗](https://aclanthology.org/2022.acl-long.292/) Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yufei Wang et al.*2022 · 110 citations*
15. **[Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base ↗](https://aclanthology.org/D19-1248/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Tao Shen et al.*2019 · 110 citations*
16. **[THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption ↗](https://aclanthology.org/2022.findings-acl.277/) Findings of the Association for Computational Linguistics: ACL 2022 · no summary yet**Tianyu Chen et al.*2022 · 107 citations*
17. **[SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval](https://md.research.elamur.ai/free/en/papers/wang-2023-simlm-pre-training-representation-bottleneck/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Liang Wang, Nan Yang, Xiaolong Huang, et al.*2023 · 106 citations*
18. **[CoSQA: 20,000+ Web Queries for Code Search and Question Answering ↗](https://aclanthology.org/2021.acl-long.442/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Junjie Huang et al.*2021 · 99 citations*
19. **[Large Language Models are Diverse Role-Players for Summarization Evaluation](https://md.research.elamur.ai/free/en/papers/wu-2023-large-language-models-diverse-role/) [Lecture notes in computer science](https://md.research.elamur.ai/free/en/venues/lecture-notes-in-computer-science/)**Ning Wu, Ming Gong, Linjun Shou, et al.*2023 · 86 citations*
20. **[RikiNet: Reading Wikipedia Pages for Natural Question Answering ↗](https://aclanthology.org/2020.acl-main.604/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Dayiheng Liu et al.*2020 · 78 citations*
21. **[Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension ↗](https://aclanthology.org/2020.acl-main.599/) Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yet**Bo Zheng et al.*2020 · 72 citations*
22. **[Deep LSTM based Feature Mapping for Query Classification ↗](https://aclanthology.org/N16-1176/) Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Yangyang Shi et al.*2016 · 64 citations*
23. **[Code Execution with Pre-trained Language Models ↗](https://aclanthology.org/2023.findings-acl.308/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Chenxiao Liu et al.*2023 · 38 citations*
24. **[Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning ↗](https://arxiv.org/abs/1909.05438) arXiv:1909.05438 · no summary yet**Yibo Sun et al.*2019 · 38 citations*
25. [**Augmented Large Language Models with Parametric Knowledge Guiding arXiv:2305.04757**Ziyang Luo, Can Xu, Pu Zhao, et al.*2023 · 32 citations*](https://md.research.elamur.ai/free/en/papers/luo-2023-augmented-large-language-models-parametric/)
26. [**Large Language Models are Strong Zero-Shot Retriever arXiv:2304.14233**Tao Shen, Guodong Long, Xiubo Geng, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/shen-2023-large-language-models-strong-zero/)