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You see what I want you to see: poisoning vulnerabilities in neural code search.

, , , , , , , and . ESEC/SIGSOFT FSE, page 1233-1245. ACM, (2022)

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Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks., , , , , , , and . ICPR, page 278-285. IEEE, (2020)Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking., , , , , and . ICDM, page 1366-1371. IEEE, (2019)Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization., , , , and . ACL (1), page 486-500. Association for Computational Linguistics, (2022)Time-Aware API Popularity Prediction via Heterogeneous Features., , , and . ICWS, page 424-431. IEEE Computer Society, (2015)VISION2UI: A Real-World Dataset with Layout for Code Generation from UI Designs., , , , , , , , and . CoRR, (2024)Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation., , , , , , , and . CoRR, (2024)NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries., , , , , , , , and . EACL (Findings), page 2377-2388. Association for Computational Linguistics, (2024)UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models., , , , , , , , , and 1 other author(s). CoRR, (2024)GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents., , , , , , , , , and 10 other author(s). CoRR, (2024)IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion., , , , , , , and . Proc. ACM Softw. Eng., 1 (FSE): 182-203 (2024)