PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiencyby Preferred Elements, Kenshin Abe, Kaizaburo Chubachi,…
SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selectionby Han Shen, Pin-Yu Chen, Payel Das,…
Exploring the design space of deep-learning-based weather forecasting systemsby Shoaib Ahmed Siddiqui, Jean Kossaifi, Boris…
One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptationby Fabian Paischer, Lukas Hauzenberger,…
Let’s Ask GNN: Empowering Large Language Model for Graph In-Context Learningby Zhengyu Hu, Yichuan Li,…
Joint Fine-tuning and Conversion of Pretrained Speech and Language Models towards Linear Complexityby Mutian He,…
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learningby Jiashi Gao, Ziwei Wang, Xiangyu Zhao,…
Convex Distillation: Efficient Compression of Deep Networks via Convex Optimizationby Prateek Varshney, Mert PilanciFirst submitted…
Dissecting Fine-Tuning Unlearning in Large Language Modelsby Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng,…
Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMsby Ruijia Niu, Dongxia Wu, Rose Yu, Yi-An…