Test smells 20 years later: detectability, validity, and reliability von Panichella, Annibale, Panichella, Sebastiano, Fraser, Gordon, Sawant, Anand Ashok, Hellendoorn, Vincent J.

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Learning lenient parsing & typing via indirect supervision von Ahmed, Toufique, Devanbu, Premkumar, Hellendoorn, Vincent J

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Memorization and generalization in neural code intelligence models von Rabin, Md Rafiqul Islam, Hussain, Aftab, Alipour, Mohammad Amin, Hellendoorn, Vincent J.

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"Medium" LMs of Code in the Era of LLMs: Lessons From StackOverflow von Mukherjee, Manisha, Hellendoorn, Vincent J

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Learning Defect Prediction from Unrealistic Data von Alrashedy, Kamel, Hellendoorn, Vincent J, Orso, Alessandro

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An Exploratory Study of ML Sketches and Visual Code Assistants von Gomes, Luís F, Hellendoorn, Vincent J, Aldrich, Jonathan, Abreu, Rui

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DiffusER: Discrete Diffusion via Edit-based Reconstruction von Reid, Machel, Hellendoorn, Vincent J, Neubig, Graham

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"Medium" LMs of Code in the Era of LLMs: Lessons From StackOverflow von Mukherjee, Manisha, Hellendoorn, Vincent J

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Revisiting Unnaturalness for Automated Program Repair in the Era of Large Language Models von Yang, Aidan Z. H, Kolak, Sophia, Hellendoorn, Vincent J, Martins, Ruben, Goues, Claire Le

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Comments on Comments: Where Code Review and Documentation Meet von Rao, Nikitha, Tsay, Jason, Hirzel, Martin, Hellendoorn, Vincent J

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A Systematic Evaluation of Large Language Models of Code von Xu, Frank F, Alon, Uri, Neubig, Graham, Hellendoorn, Vincent J

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CAT-LM: Training Language Models on Aligned Code And Tests von Rao, Nikitha, Jain, Kush, Alon, Uri, Goues, Claire Le, Hellendoorn, Vincent J

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Large Language Models for Test-Free Fault Localization von Yang, Aidan Z. H, Martins, Ruben, Goues, Claire Le, Hellendoorn, Vincent J

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Capturing Structural Locality in Non-parametric Language Models von Xu, Frank F, He, Junxian, Neubig, Graham, Hellendoorn, Vincent J

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AI for Low-Code for AI von Rao, Nikitha, Tsay, Jason, Kate, Kiran, Hellendoorn, Vincent J, Hirzel, Martin

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Learning Defect Prediction from Unrealistic Data von Kamel Alrashedy, Hellendoorn, Vincent J, Orso, Alessandro

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An Exploratory Study of ML Sketches and Visual Code Assistants von Gomes, Luís F, Hellendoorn, Vincent J, Aldrich, Jonathan, Abreu, Rui

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DiffusER: Discrete Diffusion via Edit-based Reconstruction von Reid, Machel, Hellendoorn, Vincent J, Neubig, Graham

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Memorization and Generalization in Neural Code Intelligence Models von Md Rafiqul Islam Rabin, Hussain, Aftab, Mohammad Amin Alipour, Hellendoorn, Vincent J

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Are My Invariants Valid? A Learning Approach von Hellendoorn, Vincent J, Devanbu, Premkumar T, Polozov, Oleksandr, Marron, Mark

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