Read more at source.
Read more at source.
Tian's paper, titled 'Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction', presents a new method for creating AI-generated images. The paper is noted for its quality presentation, experimental validation, and insights, making it a compelling model to experiment with.
The decision to award Tian, whom ByteDance reportedly sued for over $1 million in damages last month for sabotaging company research projects, stirred discussions online about how NeurIPS is run and the evaluation process of AI research work. Questions were raised about the ethical standards upheld by the conference.
In response to the controversy, a spokesperson for NeurIPS clarified that the award was given to the paper, not Tian himself. The conference evaluates paper submissions based on scientific merit, without separate considerations on authorship or other factors, in line with the NeurIPS blind review process.
An anonymous blog post circulated on various platforms accused Tian of serious misconduct, including hoarding ByteDance's computing resources for his own work and disrupting experiments. The post called for ByteDance to retract the research out of respect for its other researchers and the academic community.
The search committees considered all accepted NeurIPS papers equally, and made decisions independently based on the scientific merit of the papers, without making separate considerations on authorship or other factors, in keeping with the NeurIPS blind review process.
