Summary of Egogen: An Egocentric Synthetic Data Generator, by Gen Li et al.
EgoGen: An Egocentric Synthetic Data Generatorby Gen Li, Kaifeng Zhao, Siwei Zhang, Xiaozhong Lyu, Mihai…
Summary of A Study on Training and Developing Large Language Models For Behavior Tree Generation, by Fu Li et al.
A Study on Training and Developing Large Language Models for Behavior Tree Generationby Fu Li,…
Summary of Pomp: Probability-driven Meta-graph Prompter For Llms in Low-resource Unsupervised Neural Machine Translation, by Shilong Pan et al.
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translationby Shilong Pan, Zhiliang…
Summary of Derm-t2im: Harnessing Synthetic Skin Lesion Data Via Stable Diffusion Models For Enhanced Skin Disease Classification Using Vit and Cnn, by Muhammad Ali Farooq et al.
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification…
Summary of Refining Pre-trained Motion Models, by Xinglong Sun et al.
Refining Pre-Trained Motion Modelsby Xinglong Sun, Adam W. Harley, Leonidas J. GuibasFirst submitted to arxiv…
Summary of Syncdr : Training Cross Domain Retrieval Models with Synthetic Data, by Samarth Mishra et al.
SynCDR : Training Cross Domain Retrieval Models with Synthetic Databy Samarth Mishra, Carlos D. Castillo,…
Summary of Safesynthdp: Leveraging Large Language Models For Privacy-preserving Synthetic Data Generation Using Differential Privacy, by Md Mahadi Hasan Nahid et al.
SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacyby Md Mahadi…
Summary of Rate Of Model Collapse in Recursive Training, by Ananda Theertha Suresh and Andrew Thangaraj and Aditya Nanda Kishore Khandavally
Rate of Model Collapse in Recursive Trainingby Ananda Theertha Suresh, Andrew Thangaraj, Aditya Nanda Kishore…
Summary of Matchminer-ai: An Open-source Solution For Cancer Clinical Trial Matching, by Ethan Cerami et al.
MatchMiner-AI: An Open-Source Solution for Cancer Clinical Trial Matchingby Ethan Cerami, Pavel Trukhanov, Morgan A.…
Summary of Generate to Discriminate: Expert Routing For Continual Learning, by Yewon Byun et al.
Generate to Discriminate: Expert Routing for Continual Learningby Yewon Byun, Sanket Vaibhav Mehta, Saurabh Garg,…