Poster "model fine-tuning" Papers
10 papers found
A Large-scale Training Paradigm for Graph Generative Models
Yu Wang, Ryan Rossi, Namyong Park et al.
ICLR 2025poster
1
citations
An OpenMind for 3D Medical Vision Self-supervised Learning
Tassilo Wald, Constantin Ulrich, Jonathan Suprijadi et al.
ICCV 2025posterarXiv:2412.17041
12
citations
CAMEx: Curvature-aware Merging of Experts
Dung Viet Nguyen, Minh Nguyen, Luc Nguyen et al.
ICLR 2025posterarXiv:2502.18821
6
citations
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
Egor Zverev, Sahar Abdelnabi, Soroush Tabesh et al.
ICLR 2025posterarXiv:2403.06833
45
citations
Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
Ming Wen, Jiaqi Zhu, Yuedong Xu et al.
NeurIPS 2025posterarXiv:2507.09990
Escaping the SpuriVerse: Can Large Vision-Language Models Generalize Beyond Seen Spurious Correlations?
Yiwei Yang, Chung Peng Lee, Shangbin Feng et al.
NeurIPS 2025posterarXiv:2506.18322
3
citations
Machine Unlearning via Simulated Oracle Matching
Kristian G Georgiev, Roy Rinberg, Sam Park et al.
ICLR 2025poster
3
citations
$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
Guanjie Chen, Xinyu Zhao, Tianlong Chen et al.
ICML 2024poster
Language Models as Science Tutors
Alexis Chevalier, Jiayi Geng, Alexander Wettig et al.
ICML 2024poster
MGit: A Model Versioning and Management System
Wei Hao, Daniel Mendoza, Rafael Mendes et al.
ICML 2024poster