7 Papers & Radios | AI绘画引入人类反馈;微软多模态ChatGPT?
机器之心 & ArXiv Weekly
参与:楚航、罗若天、梅洪源
本周重要论文包括谷歌研究院和加州大学伯克利分校在文本到图像模型中引入人类反馈、以及微软最新的多模态大模型等。
Language Is Not All You Need: Aligning Perception with Language Models Learning Harmonic Molecular Representations on Riemannian Manifold Single-cell biological network inference using a heterogeneous graph transformer Towards Stable Test-time Adaptation in Dynamic Wild World A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT Aligning Text-to-Image Models using Human Feedback Large Torsion Thin Artificial Muscles Tensegrity Structure for Twist Manipulation ArXiv Weekly Radiostation:NLP、CV、ML 更多精选论文(附音频)
作者:Shaohan Huang 等 论文地址:https://arxiv.org/pdf/2302.14045.pdf
作者:Yiqun Wang 等 论文地址:https://openreview.net/pdf?id=ySCL-NG_I3
作者:Anjun Ma 等 论文地址:https://www.nature.com/articles/s41467-023-36559-0#Sec9
作者:Shuaicheng Niu 等 论文地址:https://openreview.net/pdf?id=g2YraF75Tj
作者:Ce Zhou 等 论文地址:https://arxiv.org/pdf/2302.09419.pdf
作者:Kimin Lee 等 论文地址:https://arxiv.org/pdf/2302.12192v1.pdf
作者:Ryota Kobayashi 等 论文地址:https://ieeexplore.ieee.org/document/10016717
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