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Xinyun Chen (Google DeepMind) - Leveraging Execution Feedback for Program Synthesis with LLMs
Xinyun Chen (Google DeepMind) - Leveraging Execution Feedback for Program Synthesis with LLMs
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Michael Pradel (University of Stuttgart) - Neural Software Analysis: Recent Advances on...
Michael Pradel (University of Stuttgart) - Neural Software Analysis: Recent Advances on...
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Jingxuan He (ETH) - Large Language Models for Code: Security Hardening and Adversarial Testing
Jingxuan He (ETH) - Large Language Models for Code: Security Hardening and Adversarial Testing
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Timofey Bryksin (JetBrains) - Improving Code Completion by Learning from Anonymous IDE Usage Logs
Timofey Bryksin (JetBrains) - Improving Code Completion by Learning from Anonymous IDE Usage Logs
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Baishakhi Ray (Columbia) - Towards Code-Aware AI Models for Code
Baishakhi Ray (Columbia) - Towards Code-Aware AI Models for Code
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Miltos Allamanis (Google Brain) - Learning to Complete Code with Sketches
Miltos Allamanis (Google Brain) - Learning to Complete Code with Sketches
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Uri Alon (CMU) - Natural Language Reasoning with Language Models of Code
Uri Alon (CMU) - Natural Language Reasoning with Language Models of Code
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Jacob Andreas (MIT) - Learning to program by learning to read
Jacob Andreas (MIT) - Learning to program by learning to read
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