Summary of Multi-level Personalized Federated Learning on Heterogeneous and Long-tailed Data, by Rongyu Zhang et al.
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Databy Rongyu Zhang, Yun Chen, Chenrui Wu,…
Multi-level Personalized Federated Learning on Heterogeneous and Long-Tailed Databy Rongyu Zhang, Yun Chen, Chenrui Wu,…
Are EEG-to-Text Models Working?by Hyejeong Jo, Yiqian Yang, Juhyeok Han, Yiqun Duan, Hui Xiong, Won…
MIDGARD: Self-Consistency Using Minimum Description Length for Structured Commonsense Reasoningby Inderjeet Nair, Lu WangFirst submitted…
LLMs with Personalities in Multi-issue Negotiation Gamesby Sean Noh, Ho-Chun Herbert ChangFirst submitted to arxiv…
Open Source Language Models Can Provide Feedback: Evaluating LLMs’ Ability to Help Students Using GPT-4-As-A-Judgeby…
Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Modelsby Luke Merrick, Danmei Xu, Gaurav Nuti, Daniel…
Parameter-Efficient Fine-Tuning With Adaptersby Keyu Chen, Yuan Pang, Zi YangFirst submitted to arxiv on: 9…
Poser: Unmasking Alignment Faking LLMs by Manipulating Their Internalsby Joshua Clymer, Caden Juang, Severin FieldFirst…
Prompt When the Animal is: Temporal Animal Behavior Grounding with Positional Recovery Trainingby Sheng Yan,…
Towards Robust Physical-world Backdoor Attacks on Lane Detectionby Xinwei Zhang, Aishan Liu, Tianyuan Zhang, Siyuan…