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Weiyang Liu
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Weiyang Liu
@Besteuler
Assistant Professor of CSE @CUHKofficial. Postdoc @MPI_IS. PhD @Cambridge_Uni & @GeorgiaTech. Previous Intern @Google & @nvidia. All opinions are my own.
wyliu.com
Joined May 2009
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  • user avatar
    Weiyang Liu
    @Besteuler
    Oct 27, 2025
    🤯 Merging many finetuned LLMs into one model, effectively? Introducing Functional Dual Anchor (FDA), a new framework for model merging. 🚀 Current merging works poorly due to the underlying parameter conflicts. FDA shifts knowledge integration to the input-representation space
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    Weiyang Liu
    @Besteuler
    Jan 17, 2024
    🥳Very happy that all our three submissions are accepted to ICLR 2024! G-Shell is accepted as Oral and MetaMath as Spotlight! This year's ICLR batch well represents my current research focus. 1/6
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    Weiyang Liu
    @Besteuler
    Nov 14, 2023
    📢Introducing BOFT: A New General Finetuning Method for the Adaptation of Foundation Models! Our latest research reveals that orthogonal finetuning is a versatile approach, effective across various tasks including vision, NLP, and text-to-image generation. 🧵1/5
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    Weiyang Liu
    @Besteuler
    Oct 17, 2025
    🚀 Glad to introduce SimKO (Simple Pass@K Optimization) Current GRPO-based methods overfit to safe responses -- great Pass@1, poor Pass@K. 🔍 We find this stems from probability over-concentration: the model collapses onto its top-1 token, losing exploration. This appears to be
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    Weiyang Liu
    @Besteuler
    Dec 4, 2023
    🌟 Introducing GraphDreamer - A new framework to synthesize 3D scenes from scene graphs. GraphDreamer enables accurate 3D object disentanglement and composition with only the scene graph input! 1/6
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    Weiyang Liu
    @Besteuler
    Apr 12, 2024
    🥳Excited to see orthogonal finetuning (OFT/BOFT) gets integrated into the Hugging Face PEFT library (github.com/huggingface/pe…)! It takes us a lot of extra efforts to refine the code. Check out the official guide and effortlessly use BOFT in your project: huggingface.co/docs/peft/main…
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    Weiyang Liu
    @Besteuler
    Jun 23, 2023
    We release the first version of our code at github.com/Zeju1997/oft. We are still adding in more details. 😉
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    AK
    @_akhaliq
    Jun 13, 2023
    Controlling Text-to-Image Diffusion by Orthogonal Finetuning paper page: huggingface.co/papers/2306.07… Large text-to-image diffusion models have impressive capabilities in generating photorealistic images from text prompts. How to effectively guide or control these powerful models to
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    Weiyang Liu
    @Besteuler
    Jun 14, 2024
    Another demo of verbalized machine learning -- medical image classification. See the intriguing pattern that VML discovers automatically. :) Paper link here: arxiv.org/abs/2406.04344
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    Weiyang Liu
    @Besteuler
    Jul 27, 2024
    📢Interested in fully interpretably machine learning using Large Language Models? Come chat with @TimZXiao and me about "Verbalized Machine Learning" at the ICL workshop (Saturday) #ICML2024! ⏲️Poster session: 10:25 - 11:15 AM & 3:20 - 4:15 PM 📍Location: Lehar 4 📰Paper:
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    Weiyang Liu
    @Besteuler
    Jun 8, 2024
    🌟 Excited to share our latest work: Verbalized Machine Learning (VML)! VML revisits traditional ML with language models. What's the different? Classic ML: Training in numerical space. VML: Training in natural language space. 🔗arxiv.org/abs/2406.04344 #MachineLearning #AI
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    Weiyang Liu
    @Besteuler
    Aug 18, 2025
    Excited to see Orthogonal Finetuning (OFT) and Quantized OFT (QOFT) now merged into LLaMA-Factory! 🎉 OFT & QOFT are memory/time/parameter-efficient and excel at preserving pretraining knowledge. Try them in: 🔗 LLaMA-Factory: github.com/hiyouga/LLaMA-… 🔗 PEFT:
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    Weiyang Liu
    @Besteuler
    Aug 16, 2024
    🚀 Excited to introduce our new work: SGP-Bench! Can Large Language Models (LLMs) understand symbolic graphics programs? 🖥️ Imagine giving a model a symbolic graphics program like SVG or CAD and asking it to answer questions about the visual content without actually seeing the
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  • user avatar
    Weiyang Liu
    @Besteuler
    Apr 22, 2022
    😆Happy to release OpenSphere, a PyTorch-based deep face recognition library. 👀It implements all our related work (SphereFace #CVPR2017, SphereFace+ #NeurIPS2018, SphereFace-R #TPAMI2022, SphereFace2 #ICLR2022)! Web: opensphere.world Code: github.com/ydwen/opensphe… 1/4
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    Weiyang Liu
    @Besteuler
    Sep 22, 2023
    We discover that simple augmentations to math questions lead to highly non-trivial performance gains. I now understand why everyone talks about data-centric AI. You can do many complex things to twist your model/architecture, but data augmentation is usually all you need.
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    AK
    @_akhaliq
    Sep 22, 2023
    MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models paper page: huggingface.co/papers/2309.12… Large language models (LLMs) have pushed the limits of natural language understanding and exhibited excellent problem-solving ability. Despite the great success,
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