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Why Program Synthesis Is Next (Kevin Ellis and Zenna Tavares)
Xinyun Chen (Google DeepMind) - Leveraging Execution Feedback for Program Synthesis with LLMs
Google I/O Extended (AI) Seattle - Generative AI and Program Synthesis
CodeGen: Open-Source Program Synthesis for Local Agent Workflows
[OOPSLA24] Statically Contextualizing Large Language Models with Typed Holes
[OOPSLA'25] Laurel: Unblocking Automated Verification with Large Language Models
Lecture: #9 Language Models for Code Generation - ScaDS.AI Dresden/Leipzig
Deep Learning as Program Synthesis | SLT Seminar
SenSys 2025 -- GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development
Gorilla: The Game-Changing Large Language Model Powered by Massive APIs
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages - ArXiv:2305.02
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Last Updated: October 1, 2026
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Panel discussion with Francois Chollet, Kevin Ellis, and Zenna Tavares on why In this video we discuss the paper " Kevin Ellis (Cornell) and Zenna Tavares (BASIS) argue that the next wave of AI needs to learn humans do: building abstract ... Laurel: Unblocking Automated Verification with Klaudia-Doris Thellmann and Bernhard Stadler give an overview of state-of-the-art In the SLT seminar, Zach Furman from The University of Melbourne discusses evidence for deep learning as
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