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Jie Fu
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@bigaidream

Jie Fu

@bigaidream
Providing abundant verification services, which (could) lead to sentient-friendly; Prev. postdoc with @Yoshua_Bengio @Mila_Quebec | PhD @NUSingapore
bigaidream.github.io
Joined September 2013
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  • @bigaidream
    Jie Fu
    @bigaidream
    Aug 7
    🐸 We propose a super efficient approach for mechanistic interpretability: decompose weight matrices from a pretrained LLM into sparse circuit units directly, instead of training a separate sparse representation. See more in the blog post: huggingface.co/spaces/veri-sa…
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  • @bigaidream
    Jie Fu
    @bigaidream
    May 10, 2024
    Our work on inferring cell replicational age on single-cell ATAC data has been published in Nature Biotechnology!
    @picapica668
    Zhang Yi
    @picapica668
    May 9, 2024
    Our work on infering cell replicational age on single-cell ATAC data is published! Congratulations to Yu, Wan, Lingao and Jie @bigaidream
  • @bigaidream
    Jie Fu
    @bigaidream
    Apr 5, 2024
    Try our code editing 👩‍💻👨‍💻🧑‍💻 benchmark for LLMs
    @GeZhang86038849
    Ge Zhang
    @GeZhang86038849
    Apr 5, 2024
    [1/n] 🚀🚀🚀 Excited to share our latest work: "CodeEditorBench:Evaluating Code Editing Capability of Large Language Models"! codeeditorbench.github.io ### 🧐 Highlights of the CodeEditorBench: > 8K meticulously collected code editing questions from five sources: namely
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  • @bigaidream
    Jie Fu
    @bigaidream
    Apr 3, 2024
    Our work on the unreasonable effectiveness of 弱智吧😝
    @9hills
    九原客
    @9hills
    Apr 3, 2024
    看论文看到哈哈大笑,用「弱智吧」标题+GPT-4回答微调后的Yi-34B模型评估结果超过了精心收集的 SFT 指令集数据,安全性评估也是第二名。 弱智吧就是百度弱智吧,里面的帖子是这种画风:「既然监狱里全是罪犯,👮♀️为什么不去监狱里抓人?」 论文:arxiv.org/pdf/2403.18058…
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  • @bigaidream
    Jie Fu
    @bigaidream
    Apr 2, 2024
    Our new work on the dynamics of LLMs across scales & domains🪄
    @GeZhang86038849
    Ge Zhang
    @GeZhang86038849
    Apr 2, 2024
    [1/n] 🎉🎉🎉 Excited to share our latest work: "The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis"! We delve into the dynamics of LLMs across different scales and domains. 💡Highlights include: 🗺️ Comprehensive Model Evaluation:
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