Trends · 研究趋势
数据来自 Hugging Face 论文的 AI 提取关键词,按月统计研究方向的增长与热度。
Wenyu Du, Tongxu Luo, Zihan Qiu +5 authors
A depthwise stacking operator called $G_{\text{stack}}$ accelerates LLM pre-training, improving performance with less computational expense and providing guidelines for effective use.
Samuel L. Smith, Andrew Brock, Leonard Berrada +1 authors
ConvNets pre-trained on a large dataset match the performance of Vision Transformers on ImageNet with comparable computational resources.
Wenliang Dai, Junnan Li, Dongxu Li +6 authors
InstructBLIP models, built through instruction-aware visual feature extraction on BLIP-2, achieve top performance in vision-language tasks, including zero-shot evaluation and fine-tuned downstream tasks.
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