1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2024
Imp: Highly Capable Large Multimodal Models for Mobile Devices
Zhenwei Shao, Zhou Yu, Jun Yu +5
By harnessing the capabilities of large language models (LLMs), recent large multimodal models (LMMs) have shown remarkable versatility in open-world multimodal understanding. Neve…
cs.LG2023
SelectFormer: Private and Practical Data Selection for Transformers
Xu Ouyang, Felix Xiaozhu Lin, Yangfeng Ji
Critical to a free data market is , i.e. the model owner selects and then appraises training data from the data owner before both parties commit to…
cs.CL2022★ 1 cited
Efficient NLP Model Finetuning via Multistage Data Filtering
Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin +1
As model finetuning is central to the modern NLP, we set to maximize its efficiency. Motivated by redundancy in training examples and the sheer sizes of pretrained models, we explo…