Summary of Fine-tuning and Evaluating Open-source Large Language Models For the Army Domain, by Daniel C. Ruiz and John Sell
Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domainby Daniel C. Ruiz, John…
Fine-Tuning and Evaluating Open-Source Large Language Models for the Army Domainby Daniel C. Ruiz, John…
Predicting Mortality and Functional Status Scores of Traumatic Brain Injury Patients using Supervised Machine Learningby…
Accelerating Direct Preference Optimization with Prefix Sharingby Franklin Wang, Sumanth HegdeFirst submitted to arxiv on:…
GeoFUSE: A High-Efficiency Surrogate Model for Seawater Intrusion Prediction and Uncertainty Reductionby Su Jiang, Chuyang…
On Multi-Stage Loss Dynamics in Neural Networks: Mechanisms of Plateau and Descent Stagesby Zheng-An Chen,…
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGDby Aniket Das, Dheeraj Nagaraj, Soumyabrata Pal, Arun…
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocationby Zhichao Wang, Lin Wang, Yongxin Guo,…
GFlowNet Fine-tuning for Diverse Correct Solutions in Mathematical Reasoning Tasksby Ryoichi Takase, Masaya Tsunokake, Yuta…
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Modelsby Yabin Zhang, Lei ZhangFirst submitted…
Your Image is Secretly the Last Frame of a Pseudo Videoby Wenlong Chen, Wenlin Chen,…