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BERT2Code: Can Pretrained Language Models be Leveraged for Code Search? arXiv (2021)."},{"key":"e_1_3_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1162"},{"key":"e_1_3_3_2_40_2","unstructured":"Paul Jaccard. 1901. \u00c9tude comparative de la distribution florale dans une portion des Alpes et des Jura. Bull Soc Vaudoise Sci Nat 37 (1901) 547\u2013579."},{"key":"e_1_3_3_2_41_2","doi-asserted-by":"crossref","unstructured":"Monoshiz\u00a0Mahbub Khan and Zhe Yu. 2025. Approaching code search for python as a translation retrieval problem with dual encoders. Empirical Software Engineering 30 1 (2025) 1\u201328.","DOI":"10.1007\/s10664-024-10580-3"},{"key":"e_1_3_3_2_42_2","unstructured":"Hanjae Kim Jiyoung Lee and Kwanghoon Sohn. 2024. Prototype-guided Attention Distillation for Discriminative Person Search. TPAMI (2024)."},{"key":"e_1_3_3_2_43_2","doi-asserted-by":"crossref","unstructured":"Haodong Li Xiaofeng Zhang and Haicheng Qu. 2025. 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In AAAI, Vol.\u00a038. 4695\u20134703."},{"key":"e_1_3_3_2_77_2","volume-title":"Introduction to information retrieval","author":"Sch\u00fctze Hinrich","year":"2008","unstructured":"Hinrich Sch\u00fctze, Christopher\u00a0D Manning, and Prabhakar Raghavan. 2008. Introduction to information retrieval. Vol.\u00a039."},{"key":"e_1_3_3_2_78_2","unstructured":"Ensheng Shi Wenchao Gub Yanlin Wang Lun Du Hongyu Zhang Shi Han Dongmei Zhang and Hongbin Sun. 2022. Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation. arXiv (2022)."},{"key":"e_1_3_3_2_79_2","first-page":"2198","volume-title":"ICSE","author":"Shi Ensheng","year":"2023","unstructured":"Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, and Hongbin Sun. 2023. Cocosoda: Effective contrastive learning for code search. In ICSE. 2198\u20132210."},{"key":"e_1_3_3_2_80_2","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1145\/3387904.3389269","volume-title":"ICPC","author":"Shuai Jianhang","year":"2020","unstructured":"Jianhang Shuai, Ling Xu, Chao Liu, Meng Yan, Xin Xia, and Yan Lei. 2020. Improving code search with co-attentive representation learning. In ICPC. 196\u2013207."},{"key":"e_1_3_3_2_81_2","doi-asserted-by":"publisher","DOI":"10.1145\/1925805.1925815"},{"key":"e_1_3_3_2_82_2","first-page":"11697","volume-title":"EMNLP","author":"Singh Mukul","year":"2023","unstructured":"Mukul Singh, Jos\u00e9 Cambronero, Sumit Gulwani, Vu Le, Carina Negreanu, and Gust Verbruggen. 2023. Codefusion: A pre-trained diffusion model for code generation. In EMNLP. 11697\u201311708."},{"key":"e_1_3_3_2_83_2","volume-title":"ICML","author":"Song Andrew\u00a0H","year":"2024","unstructured":"Andrew\u00a0H Song, Richard\u00a0J Chen, Guillaume Jaume, Anurag\u00a0Jayant Vaidya, Alexander Baras, and Faisal Mahmood. 2024. Multimodal prototyping for cancer survival prediction. In ICML."},{"key":"e_1_3_3_2_84_2","doi-asserted-by":"crossref","unstructured":"Qihong Song Haize Hu and Tebo Dai. 2024. CMCS: contrastive-metric learning via vector-level sampling and augmentation for code search. Scientific Reports 14 1 (2024) 14549.","DOI":"10.1038\/s41598-024-64205-2"},{"key":"e_1_3_3_2_85_2","unstructured":"Xunzhu Tang Saad Ezzini Haoye Tian Yewei Song Jacques Klein Tegawende\u00a0F Bissyande et\u00a0al. 2023. Hyperbolic code retrieval: a novel approach for efficient code search using hyperbolic space embeddings. arXiv (2023)."},{"key":"e_1_3_3_2_86_2","unstructured":"A Vaswani. 2017. Attention is all you need. NeurIPS (2017)."},{"key":"e_1_3_3_2_87_2","doi-asserted-by":"publisher","DOI":"10.1109\/ASE.2019.00012"},{"key":"e_1_3_3_2_88_2","doi-asserted-by":"crossref","unstructured":"Chaozheng Wang Zhenhao Nong Cuiyun Gao Zongjie Li Jichuan Zeng Zhenchang Xing and Yang Liu. 2022. Enriching query semantics for code search with reinforcement learning. Neural Networks 145 (2022) 22\u201332.","DOI":"10.1016\/j.neunet.2021.09.025"},{"key":"e_1_3_3_2_89_2","doi-asserted-by":"crossref","unstructured":"Liang Wang Nan Yang and Furu Wei. 2023. Query2doc: Query expansion with large language models. arXiv (2023).","DOI":"10.18653\/v1\/2023.emnlp-main.585"},{"key":"e_1_3_3_2_90_2","unstructured":"Ming Wang Yuanzhong Liu Xiaoyu Liang Songlian Li Yijie Huang Xiaoming Zhang Sijia Shen Chaofeng Guan Daling Wang Shi Feng et\u00a0al. 2024. LangGPT: Rethinking structured reusable prompt design framework for LLMs from the programming language. arXiv (2024)."},{"key":"e_1_3_3_2_91_2","unstructured":"Wenhua Wang Yuqun Zhang Zhengran Zeng and Guandong Xu. 2020. Trans\u2227 3: A transformer-based framework for unifying code summarization and code search. arXiv (2020)."},{"key":"e_1_3_3_2_92_2","unstructured":"Xin Wang Yasheng Wang Fei Mi Pingyi Zhou Yao Wan Xiao Liu Li Li Hao Wu Jin Liu and Xin Jiang. 2021. Syncobert: Syntax-guided multi-modal contrastive pre-training for code representation. arXiv (2021)."},{"volume-title":"EMNLP","author":"Wang Yue","key":"e_1_3_3_2_93_2","unstructured":"Yue Wang, Hung Le, Akhilesh\u00a0Deepak Gotmare, Nghi\u00a0DQ Bui, Junnan Li, and Steven Hoi. [n. d.]. CodeT5+: Open Code Large Language Models for Code Understanding and Generation. In EMNLP."},{"key":"e_1_3_3_2_94_2","doi-asserted-by":"crossref","unstructured":"Yue Wang Weishi Wang Shafiq Joty and Steven\u00a0CH Hoi. 2021. Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation. arXiv (2021).","DOI":"10.18653\/v1\/2021.emnlp-main.685"},{"key":"e_1_3_3_2_95_2","unstructured":"Jinfeng Wei and Xiaofeng Zhang. 2024. DOPRA: Decoding Over-accumulation Penalization and Re-allocation in Specific Weighting Layer. arXiv (2024)."},{"key":"e_1_3_3_2_96_2","first-page":"342","volume-title":"SANER","author":"Xu Ling","year":"2021","unstructured":"Ling Xu, Huanhuan Yang, Chao Liu, Jianhang Shuai, Meng Yan, Yan Lei, and Zhou Xu. 2021. Two-stage attention-based model for code search with textual and structural features. In SANER. 342\u2013353."},{"key":"e_1_3_3_2_97_2","unstructured":"Zishan Xu Xiaofeng Zhang Wei Chen Jueting Liu Tingting Xu and Zehua Wang. 2024. MuralDiff: Diffusion for Ancient Murals Restoration on Large-Scale Pre-Training. IEEE Transactions on Emerging Topics in Computational Intelligence (2024)."},{"key":"e_1_3_3_2_98_2","unstructured":"An Yang Baosong Yang Beichen Zhang Binyuan Hui Bo Zheng Bowen Yu Chengyuan Li Dayiheng Liu Fei Huang Haoran Wei et\u00a0al. 2024. Qwen2. 5 Technical Report. arXiv (2024)."},{"key":"e_1_3_3_2_99_2","doi-asserted-by":"crossref","unstructured":"Jietao Yang Guoheng Huang Yanzhang Luo Xiaofeng Zhang Xiaochen Yuan Xuhang Chen Chi-Man Pun and Mu-yan Cai. 2025. TCIA: A Transformer-CNN Model with Illumination Adaptation for Enhancing Cell Image Saliency and Contrast. IEEE TIM (2025).","DOI":"10.1109\/TIM.2025.3527542"},{"key":"e_1_3_3_2_100_2","doi-asserted-by":"crossref","unstructured":"Yang Yang Zhiying Cui Junjie Xu Changhong Zhong Wei-Shi Zheng and Ruixuan Wang. 2023. Continual learning with bayesian model based on a fixed pre-trained feature extractor. Visual Intelligence 1 1 (2023) 5.","DOI":"10.1007\/s44267-023-00005-y"},{"key":"e_1_3_3_2_101_2","volume-title":"ICLR","author":"Ye Hangting","year":"2024","unstructured":"Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dan dan Guo, and Yi Chang. 2024. PTaRL: Prototype-based tabular representation learning via space calibration. In ICLR."},{"key":"e_1_3_3_2_102_2","doi-asserted-by":"crossref","first-page":"2309","DOI":"10.1145\/3366423.3380295","volume-title":"WWW","author":"Ye Wei","year":"2020","unstructured":"Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, and Shikun Zhang. 2020. Leveraging code generation to improve code retrieval and summarization via dual learning. In WWW. 2309\u20132319."},{"key":"e_1_3_3_2_103_2","first-page":"6982","volume-title":"CVPR","author":"Yu Lu","year":"2020","unstructured":"Lu Yu, Bartlomiej Twardowski, Xialei Liu, Luis Herranz, Kai Wang, Yongmei Cheng, Shangling Jui, and Joost van\u00a0de Weijer. 2020. Semantic drift compensation for class-incremental learning. In CVPR. 6982\u20136991."},{"key":"e_1_3_3_2_104_2","unstructured":"Xiaosong Yuan Chen Shen Shaotian Yan Xiaofeng Zhang Liang Xie Wenxiao Wang Renchu Guan Ying Wang and Jieping Ye. 2024. Instance-adaptive Zero-shot Chain-of-Thought Prompting. arXiv (2024)."},{"key":"e_1_3_3_2_105_2","doi-asserted-by":"crossref","unstructured":"Chen Zeng Yue Yu Shanshan Li Xin Xia Zhiming Wang Mingyang Geng Linxiao Bai Wei Dong and Xiangke Liao. 2023. degraphcs: Embedding variable-based flow graph for neural code search. TOSEM 32 2 (2023) 1\u201327.","DOI":"10.1145\/3546066"},{"key":"e_1_3_3_2_106_2","doi-asserted-by":"crossref","unstructured":"Feng Zhang Haoran Niu Iman Keivanloo and Ying Zou. 2017. Expanding queries for code search using semantically related api class-names. TSE 44 11 (2017) 1070\u20131082.","DOI":"10.1109\/TSE.2017.2750682"},{"key":"e_1_3_3_2_107_2","doi-asserted-by":"crossref","unstructured":"Fan Zhang Manman Peng Yuanyuan Shen and Qiang Wu. 2024. Hierarchical features extraction and data reorganization for code search. Journal of Systems and Software 208 (2024) 111896.","DOI":"10.1016\/j.jss.2023.111896"},{"key":"e_1_3_3_2_108_2","doi-asserted-by":"crossref","unstructured":"Xiaofeng Zhang Feng Chen Cailing Wang Ming Tao and Guo-Ping Jiang. 2020. Sienet: Siamese expansion network for image extrapolation. IEEE Signal Processing Letters 27 (2020) 1590\u20131594.","DOI":"10.1109\/LSP.2020.3019705"},{"key":"e_1_3_3_2_109_2","unstructured":"Xiaofeng Zhang Yihao Quan Chaochen Gu Chen Shen Xiaosong Yuan Shaotian Yan Hao Cheng Kaijie Wu and Jieping Ye. 2024. Seeing Clearly by Layer Two: Enhancing Attention Heads to Alleviate Hallucination in LVLMs. arXiv (2024)."},{"key":"e_1_3_3_2_110_2","unstructured":"Xiaofeng Zhang Chen Shen Xiaosong Yuan Shaotian Yan Liang Xie Wenxiao Wang Chaochen Gu Hao Tang and Jieping Ye. 2024. From Redundancy to Relevance: Enhancing Explainability in Multimodal Large Language Models. arXiv (2024)."},{"key":"e_1_3_3_2_111_2","doi-asserted-by":"crossref","unstructured":"Xu Zhang Yanzheng Xiang Zejie Liu Xiaoyu Hu and Deyu Zhou. 2024. I2R: Intra and inter-modal representation learning for code search. Intelligent Data Analysis 28 3 (2024) 807\u2013823.","DOI":"10.3233\/IDA-230082"},{"key":"e_1_3_3_2_112_2","doi-asserted-by":"crossref","unstructured":"Xiaofeng Zhang Zishan Xu Hao Tang Chaochen Gu Wei Chen and Abdulmotaleb El\u00a0Saddik. 2025. Wakeup-Darkness: When Multimodal Meets Unsupervised Low-light Image Enhancement. 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AAAI (2025).","DOI":"10.1609\/aaai.v39i10.33107"},{"key":"e_1_3_3_2_116_2","first-page":"1","volume-title":"IJCNN","author":"Zhang Xiaofeng","year":"2023","unstructured":"Xiaofeng Zhang, Yudi Zhao, Chaochen Gu, Changsheng Lu, and Shanying Zhu. 2023. SpA-Former: An Effective and lightweight Transformer for image shadow removal. In IJCNN. 1\u20138."},{"volume-title":"ICLR","author":"Zhang Yilan","key":"e_1_3_3_2_117_2","unstructured":"Yilan Zhang, Yingxue Xu, Jianqi Chen, Fengying Xie, and Hao Chen. [n. d.]. Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction. In ICLR."},{"key":"e_1_3_3_2_118_2","doi-asserted-by":"crossref","first-page":"60","DOI":"10.18293\/SEKE2022-078","volume-title":"SEKE","author":"Zhao Wei","year":"2022","unstructured":"Wei Zhao and Yan Liu. 2022. Utilizing Edge Attention in Graph-Based Code Search.. In SEKE. 60\u201366."},{"key":"e_1_3_3_2_119_2","volume-title":"BIBM","author":"Zheng Fuchen","year":"2024","unstructured":"Fuchen Zheng, Xuhang Chen, Weihuang Liu, Haolun Li, Yingtie Lei, Jiahui He, Chi-Man Pun, and Shounjun Zhou. 2024. SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation. In BIBM."},{"key":"e_1_3_3_2_120_2","doi-asserted-by":"crossref","unstructured":"Xu Zheng Peng\u00a0Yuan Zhou Athanasios\u00a0V Vasilakos and Lin Wang. 2024. 360sfuda++: Towards source-free uda for panoramic segmentation by learning reliable category prototypes. TPAMI (2024).","DOI":"10.1109\/CVPR52733.2024.02634"},{"key":"e_1_3_3_2_121_2","first-page":"2468","volume-title":"SMC","author":"Zhou Ziyang","year":"2024","unstructured":"Ziyang Zhou, Yingtie Lei, Xuhang Chen, Shenghong Luo, Wenjun Zhang, Chi-Man Pun, and Zhen Wang. 2024. Docdeshadower: Frequency-aware transformer for document shadow removal. 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