Chenyang Yang @cyyang3_u

PhD student @S3DatCMU @SCSatCMU working on Human-centered AI Engineering. I design methods and build systems to empower humans to develop AI applications. cs.cmu.edu/~cyang3 Joined August 2017

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Nadia Nahar @NadiaIIT

7 months ago

📢 Calling for ML practitioners, researchers, & students! We invite you to join our 60-min user study on our new LLM-powered tool for ML evaluation. Enjoy a $35 Amazon gift card as a thank you! Sign up: forms.gle/CaBt6GYD7tikzH… or email [email protected] for details.

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Chenyang Yang @cyyang3_u

10 months ago

ML models make mistakes, but how do we understand and analyze their average behaviors? Check out our #ASE2024 paper w/ Yining Hong, @GraceALewis, @tongshuangwu, Christian Kästner @p0nk on semantic data slicing. Presenting today at 10:30AM in Compango! arxiv.org/pdf/2409.09261

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Anjiang Wei @anjiangw

11 months ago

🤝 New work on LLM for code optimization with @allen_a_nie, @brohanster, and amazing teams at Stanford, Intel, NVIDIA, and Visa Research. We show how LLMs can generate system code that outperforms human experts in parallel matrix multiplication. 🧠🔧 🔗 arxiv.org/abs/2410.15625

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Jenny Liang @jennytliang

a year ago

What challenges do developers face while using AI programming assistants like GitHub Copilot? 🤖🤔 Check out my #ICSE2024 paper (w/ @cyyang3_u and @bradamyers)! I'm presenting this work today at 4:15PM in the Fernando Pessoa room. See you there 🤗 arxiv.org/pdf/2303.17125…

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Sherry Tongshuang Wu @tongshuangwu

3 years ago

Tagging @ujimagic who did the actual work🤪 Check out our position paper on how *model capabilities* (that @marcotcr et al. used in CheckList) can potentially have a broader impact on AI Engineering in general - And @p0nk has the best course on this topic! ckaestne.github.io/seai/F2022/