1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.SE2024★ 1 cited
Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software
Dezhi Ran, Mengzhou Wu, Wei Yang +1
By treating data and models as the source code, Foundation Models (FMs) become a new type of software. Mirroring the concept of software crisis, the increasing complexity of FMs ma…
cs.CV2024
Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning
Chuanpu Li, Zeli Chen, Yiwen Zhang +2
Medical image synthesis remains challenging due to misalignment noise during training. Existing methods have attempted to address this challenge by incorporating a registration-gui…
cs.CL2024★ 1 cited
SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training
Nan He, Weichen Xiong, Hanwen Liu +6
The effectiveness of large language models (LLMs) is often hindered by duplicated data in their extensive pre-training datasets. Current approaches primarily focus on detecting and…