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17 Jul 2025
Happy to share that our research paper, "An Empirical Study of Large Language Models for Type and Call Graph Analysis in Python and JavaScript" has been accepted for publication in Empirical Software Engineering (EMSE) journal. #LLM #ML4Code #EMSE #AI
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25 Dec 2024
I'm thinking of moving into a different research direction in the future. Of course, my thesis is still going to be on Gaussian processes and I still have a couple of projects to complete. But overall, I'm thinking about how to lay the groundwork for my next step. I'm hesitating between several directions: LLM (text to image/video), Bayesian optimisation, generative methods (diffusion and flow matching), ML4Science (drug discovery, climate science, etc.) and ML4Code. Any thoughts?
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Congrats! ML4Code at Google sounds super interesting.
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14 May 2024
I'm wondering how much better is @openai's newest model, GPT-4o, in coding tasks like HumanEval( ) compared to GPT-4 released last year. I'd like to see some improvement after a year.🙂 #GPT4o #AI #ML4Code
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25 Mar 2024
Hello, ML4Code folks, we have the technical report for Stable-Code-3B out. static1.squarespace.com/stat…

Introducing Stable Code Instruct 3B, our new instruction tuned LLM based on Stable Code 3B. With natural language prompting, this model can handle a variety of tasks such as code generation, math and other software engineering related outputs. This model’s performance rivals models of similar or larger sizes, including Codellama 7B Instruct and DeepSeek-Coder Instruct 1.3B. The model is available now for commercial and non-commercial use with a Stability AI Membership. Learn more and read the research paper here: bit.ly/3TMQCll
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🌟My amazing wife, @Mantri_payal, is in the spotlight for @NCSAatIllinois’ GSWA!🌟 👏High praise from her ML4Code advanced grad class instructor at @IllinoisCS.👏 🔍 Now seeking roles in ML/Software Engineering 🛠 👩‍💻 With 5 years as a full-stack dev! 👩‍💻 linkedin.com/posts/ncsaatill…
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26 Aug 2023
Interesting time to work in #ML4Code. Were I to guess, close to $10^9 in funding for AI coding startups. IDK if they realize how tough the devtools market really is / hope they have a moat. @Replit @Sourcegraph @tabnine @phindsearch @morph_labs @anysphere @magicailabs @codeiumdev
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What happens when Moderne’s fast, 100% accurate code refactoring automation meets #generativeAI? 🚀 Check out this blog from our CTO to learn what it takes to auto-remediate code at scale—and how #ML4Code 🤖can make this even better. hubs.ly/Q01Z35G90

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26 Jun 2023
Repository miners, roll up your sleeves! The web site and Technical Track CfP for #MSR2024 are up! Abstract submission on Nov 14th. We're looking forward to many exciting submissions. For details check conf.researchr.org/home/msr-… #ML4Code #ML4SE #AI4SE #DataScience, #MachineLearning

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31 May 2023
After 3 weeks of "vacation", I just checked my mailbox today and I'm swamped with the number of new papers/tools on LLMs and ML4Code published in a month. For me, it's becoming harder to stay up-to-date with all the new things in the AI/ML space. #LLMs #AI #ML
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Michael Pradel is giving a keynote comparing the attention of the ML4Code and humans. Should they be similar or different?
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22 Mar 2023
We're currently attending the code generation & summarization session at @SANERconf. With @aalkaswan1, @MalihehIzadi, @mehkeshani #saner #conference #ml4se #ml4code #ml #macau
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You can go to ml4se.dev to access our GitHub repo containing papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering. #ml4se #ml4code #ai4se #SE #papers #code

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@DanielNichols10's work in collaboration with Aniruddha Marathe and @tgamblin explores the use of deep learning to model the performance impact of code changes across git commits as a function of AST diffs. #HPC #DeepLearning #ML4code
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Yesterday I defended my PhD thesis on neural networks for source code processing at @CS_HSE! Huge thanks to my advisor, Dmitry Vetrov, for his valuable guidance, to the committee for insightful questions and to @bayesgroup for friendly support during these 4 years! #PhD #ML4Code
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For further research investigating how program structure can push #ML4Code forward, hopeful that python_graphs continues to prove useful!
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Hi @Stanford students - I'll be teaching CS329M, a new grad/adv undergrad course on machine programming, starting in Sept. 2022. Please register if you have interest in #AI/#ML for code (#ml4code)! More details here: sites.google.com/view/gottsc… Please RT!

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The talk is gonna be exciting! I'm even more excited about our follow-up discussions tomorrow! 👩🏻‍💻 Let's connect if you too have a similar interest in #ml4code
18 May 2022
I will speak at Google NYC tomorrow (Thu May 19) at 11:30 ET. My talk will survey exciting results in AI for code, and discuss future challenges and opportunities. Based on joint work with @Pardis and @Aaditya, and @Hanjun and Petros Maniatis from @GoogleAI. (1/n)
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18 May 2022
Happy to see that Type4Py will be presented and discussed at the "Deep Learning for Big Code" seminar this month, which is organized by @the_sri_lab of ETH Zurich. sri.inf.ethz.ch/teaching/big… #ML4Code #DL #bigcode #ML4SE #type4py
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