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What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code.

, , , , , и . ICSE, стр. 2377-2388. ACM, (2022)

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Wan-Nien Yao

Wan-Hsuan Yao-Weyrauch

Yao Yao

Hongmei Yao

Yefeng Yao

 

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Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking., , , , , и . ICDM, стр. 1366-1371. IEEE, (2019)Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks., , , , , , , и . ICPR, стр. 278-285. IEEE, (2020)NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries., , , , , , , , и . EACL (Findings), стр. 2377-2388. Association for Computational Linguistics, (2024)FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization., , , , и . CoRR, (2021)DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text., , , , , , , и . CoRR, (2023)Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer., , , , , и . J. Syst. Softw., (июня 2023)Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization., , , , и . ACL (1), стр. 486-500. Association for Computational Linguistics, (2022)Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference., , , , , , , и . EMNLP (1), стр. 5064-5082. Association for Computational Linguistics, (2020)Time-Aware API Popularity Prediction via Heterogeneous Features., , , и . ICWS, стр. 424-431. IEEE Computer Society, (2015)Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention., , , , , , , и . IEEE Trans. Software Eng., 48 (2): 102-119 (2022)