Summary of Non-linear Inference Time Intervention: Improving Llm Truthfulness, by Jakub Hoscilowicz et al.
Non-Linear Inference Time Intervention: Improving LLM Truthfulnessby Jakub Hoscilowicz, Adam Wiacek, Jan Chojnacki, Adam Cieslak,…
Summary of Enhancing Manufacturing Quality Prediction Models Through the Integration Of Explainability Methods, by Dennis Gross et al.
Enhancing Manufacturing Quality Prediction Models through the Integration of Explainability Methodsby Dennis Gross, Helge Spieker,…
Summary of Selective Mixup Fine-tuning For Optimizing Non-decomposable Objectives, by Shrinivas Ramasubramanian et al.
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectivesby Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori, Kunal Samanta,…
Summary of The Artificial Neural Twin — Process Optimization and Continual Learning in Distributed Process Chains, by Johannes Emmert et al.
The Artificial Neural Twin – Process Optimization and Continual Learning in Distributed Process Chainsby Johannes…
Summary of Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness For Multi-label Chest X-ray Classification Using Social Determinants Of Racial Health Inequities, by Dana Moukheiber et al.
Looking Beyond What You See: An Empirical Analysis on Subgroup Intersectional Fairness for Multi-label Chest…
Summary of Neuropictor: Refining Fmri-to-image Reconstruction Via Multi-individual Pretraining and Multi-level Modulation, by Jingyang Huo et al.
NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulationby Jingyang Huo, Yikai Wang, Xuelin…
Summary of Improving Pre-trained Language Model Sensitivity Via Mask Specific Losses: a Case Study on Biomedical Ner, by Micheal Abaho et al.
Improving Pre-trained Language Model Sensitivity via Mask Specific losses: A case study on Biomedical NERby…
Summary of Lisa: Layerwise Importance Sampling For Memory-efficient Large Language Model Fine-tuning, by Rui Pan et al.
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuningby Rui Pan, Xiang Liu, Shizhe…
Summary of Deepmachining: Online Prediction Of Machining Errors Of Lathe Machines, by Xiang-li Lu et al.
DeepMachining: Online Prediction of Machining Errors of Lathe Machinesby Xiang-Li Lu, Hwai-Jung Hsu, Che-Wei Chou,…
Summary of Fedac: An Adaptive Clustered Federated Learning Framework For Heterogeneous Data, by Yuxin Zhang et al.
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Databy Yuxin Zhang, Haoyu Chen, Zheng…