Summary of Blob: Bayesian Low-rank Adaptation by Backpropagation For Large Language Models, By Yibin Wang et al.
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Modelsby Yibin Wang, Haizhou Shi, Ligong…
Summary of They’re All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Bias, by Salma Abdel Magid et al.
They’re All Doctors: Synthesizing Diverse Counterfactuals to Mitigate Associative Biasby Salma Abdel Magid, Jui-Hsien Wang,…
Summary of Cross-domain Open-world Discovery, by Shuo Wen and Maria Brbic
Cross-domain Open-world Discoveryby Shuo Wen, Maria BrbicFirst submitted to arxiv on: 17 Jun 2024CategoriesMain: Machine…
Summary of Few-shot Recognition Via Stage-wise Retrieval-augmented Finetuning, by Tian Liu et al.
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuningby Tian Liu, Huixin Zhang, Shubham Parashar, Shu KongFirst submitted…
Summary of Promoting Data and Model Privacy in Federated Learning Through Quantized Lora, by Jianhao Zhu et al.
Promoting Data and Model Privacy in Federated Learning through Quantized LoRAby JianHao Zhu, Changze Lv,…
Summary of A Unified Graph Selective Prompt Learning For Graph Neural Networks, by Bo Jiang et al.
A Unified Graph Selective Prompt Learning for Graph Neural Networksby Bo Jiang, Hao Wu, Ziyan…
Summary of Candidate Pseudolabel Learning: Enhancing Vision-language Models by Prompt Tuning with Unlabeled Data, By Jiahan Zhang et al.
Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Databy Jiahan Zhang, Qi…
Summary of Humor in Ai: Massive Scale Crowd-sourced Preferences and Benchmarks For Cartoon Captioning, by Jifan Zhang et al.
Humor in AI: Massive Scale Crowd-Sourced Preferences and Benchmarks for Cartoon Captioningby Jifan Zhang, Lalit…
Summary of Flextron: Many-in-one Flexible Large Language Model, by Ruisi Cai et al.
Flextron: Many-in-One Flexible Large Language Modelby Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang…
Summary of Do As I Do (safely): Mitigating Task-specific Fine-tuning Risks in Large Language Models, by Francisco Eiras et al.
Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Modelsby Francisco Eiras,…