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How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation.

, , , , , , and . CoRR, (2024)

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Shot Boundary Detection based on Multilevel Difference of Colour Histograms., , and . ICMIP, page 15-22. IEEE, (2016)HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction., , , , , and . CoRR, (2021)CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning., , , , , , and . CoRR, (2020)REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes., , , , , , , and . ASE, page 1952-1962. IEEE, (2023)A renovated algorithm for extracting moving target from background in real time video tracking system., , and . ICPR, page 646-648. IEEE, (1988)A Unified Framework for Mini-game Testing: Experience on WeChat., , , , , and . ESEC/SIGSOFT FSE, page 1623-1634. ACM, (2023)On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study., , , , , , , and . ICSE, page 74:1-74:13. ACM, (2024)API-guided Dataset Synthesis to Finetune Large Code Models., , , and . CoRR, (2024)Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach., , , and . CoRR, (2023)Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings., , , , , , and . ICSE, page 2253-2265. ACM, (2022)