Summary of Vtune: Verifiable Fine-tuning For Llms Through Backdooring, by Eva Zhang et al.
vTune: Verifiable Fine-Tuning for LLMs Through Backdooringby Eva Zhang, Arka Pal, Akilesh Potti, Micah GoldblumFirst…
vTune: Verifiable Fine-Tuning for LLMs Through Backdooringby Eva Zhang, Arka Pal, Akilesh Potti, Micah GoldblumFirst…
Beyond Toxic Neurons: A Mechanistic Analysis of DPO for Toxicity Reductionby Yushi Yang, Filip Sondej,…
Personalized Hierarchical Split Federated Learning in Wireless Networksby Md-Ferdous Pervej, Andreas F. MolischFirst submitted to…
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Passby Tong Chen, Hao…
Curriculum Learning for Few-Shot Domain Adaptation in CT-based Airway Tree Segmentationby Maxime Jacovella, Ali Keshavarzi,…
Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoderby Siting Li,…
Aligning Large Language Models and Geometric Deep Models for Protein Representationby Dong Shu, Bingbing Duan,…
ReCapture: Generative Video Camera Controls for User-Provided Videos using Masked Video Fine-Tuningby David Junhao Zhang,…
Q-SFT: Q-Learning for Language Models via Supervised Fine-Tuningby Joey Hong, Anca Dragan, Sergey LevineFirst submitted…
SG-I2V: Self-Guided Trajectory Control in Image-to-Video Generationby Koichi Namekata, Sherwin Bahmani, Ziyi Wu, Yash Kant,…