Summary of Tinyagent: Function Calling at the Edge, by Lutfi Eren Erdogan et al.
TinyAgent: Function Calling at the Edgeby Lutfi Eren Erdogan, Nicholas Lee, Siddharth Jha, Sehoon Kim,…
Summary of Self-supervised Vision Transformers For Writer Retrieval, by Tim Raven et al.
Self-Supervised Vision Transformers for Writer Retrievalby Tim Raven, Arthur Matei, Gernot A. FinkFirst submitted to…
Summary of Enhancing Event Reasoning in Large Language Models Through Instruction Fine-tuning with Semantic Causal Graphs, by Mazal Bethany et al.
Enhancing Event Reasoning in Large Language Models through Instruction Fine-Tuning with Semantic Causal Graphsby Mazal…
Summary of Fedmcp: Parameter-efficient Federated Learning with Model-contrastive Personalization, by Qianyi Zhao et al.
FedMCP: Parameter-Efficient Federated Learning with Model-Contrastive Personalizationby Qianyi Zhao, Chen Qu, Cen Chen, Mingyuan Fan,…
Summary of Forget to Flourish: Leveraging Machine-unlearning on Pretrained Language Models For Privacy Leakage, by Md Rafi Ur Rashid et al.
Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakageby Md Rafi Ur…
Summary of More Fine-tuning with 10x Fewer Parameters, by Wenxuan Tan et al.
MoRe Fine-Tuning with 10x Fewer Parametersby Wenxuan Tan, Nicholas Roberts, Tzu-Heng Huang, Jitian Zhao, John…
Summary of Visionts: Visual Masked Autoencoders Are Free-lunch Zero-shot Time Series Forecasters, by Mouxiang Chen et al.
VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecastersby Mouxiang Chen, Lefei Shen, Zhuo…
Summary of An Empirical Study Of Scaling Laws For Transfer, by Matthew Barnett
An Empirical Study of Scaling Laws for Transferby Matthew BarnettFirst submitted to arxiv on: 30…
Summary of Entropic Distribution Matching in Supervised Fine-tuning Of Llms: Less Overfitting and Better Diversity, by Ziniu Li et al.
Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversityby Ziniu Li,…
Summary of Reinforcement Learning Without Human Feedback For Last Mile Fine-tuning Of Large Language Models, by Alec Solway
Reinforcement Learning without Human Feedback for Last Mile Fine-Tuning of Large Language Modelsby Alec SolwayFirst…