Summary of Privacy-preserving Fine-tuning Of Large Language Models Through Flatness, by Tiejin Chen et al.
Privacy-preserving Fine-tuning of Large Language Models through Flatnessby Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi…
Summary of Chatbot Arena: An Open Platform For Evaluating Llms by Human Preference, By Wei-lin Chiang et al.
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preferenceby Wei-Lin Chiang, Lianmin Zheng,…
Summary of Unsupervised Learning Of Harmonic Analysis Based on Neural Hsmm with Code Quality Templates, by Yui Uehara
Unsupervised Learning of Harmonic Analysis Based on Neural HSMM with Code Quality Templatesby Yui UeharaFirst…
Summary of Contrastive Augmented Graph2graph Memory Interaction For Few Shot Continual Learning, by Biqing Qi et al.
Contrastive Augmented Graph2Graph Memory Interaction for Few Shot Continual Learningby Biqing Qi, Junqi Gao, Xingquan…
Summary of Da-net: a Disentangled and Adaptive Network For Multi-source Cross-lingual Transfer Learning, by Ling Ge et al.
DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learningby Ling Ge, Chunming Hu,…
Summary of Promise: Promptable Medical Image Segmentation Using Sam, by Jinfeng Wang et al.
ProMISe: Promptable Medical Image Segmentation using SAMby Jinfeng Wang, Sifan Song, Xinkun Wang, Yiyi Wang,…
Summary of Large Language Models Are In-context Molecule Learners, by Jiatong Li et al.
Large Language Models are In-Context Molecule Learnersby Jiatong Li, Wei Liu, Zhihao Ding, Wenqi Fan,…
Summary of Regression-aware Inference with Llms, by Michal Lukasik et al.
Regression-aware Inference with LLMsby Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix Yu, Sanjiv KumarFirst…
Summary of Tegee: Task Definition Guided Expert Ensembling For Generalizable and Few-shot Learning, by Xingwei Qu et al.
TEGEE: Task dEfinition Guided Expert Ensembling for Generalizable and Few-shot Learningby Xingwei Qu, Yiming Liang,…
Summary of On the Essence and Prospect: An Investigation Of Alignment Approaches For Big Models, by Xinpeng Wang et al.
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Modelsby Xinpeng Wang,…