Summary of Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers, by Siyu Chen et al.
Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformersby Siyu Chen, Heejune Sheen,…
Summary of Eureka: Evaluating and Understanding Large Foundation Models, by Vidhisha Balachandran et al.
Eureka: Evaluating and Understanding Large Foundation Modelsby Vidhisha Balachandran, Jingya Chen, Neel Joshi, Besmira Nushi,…
Summary of Asft: Aligned Supervised Fine-tuning Through Absolute Likelihood, by Ruoyu Wang et al.
ASFT: Aligned Supervised Fine-Tuning through Absolute Likelihoodby Ruoyu Wang, Jiachen Sun, Shaowei Hua, Quan FangFirst…
Summary of From Bytes to Bites: Using Country Specific Machine Learning Models to Predict Famine, by Salloni Kapoor and Simeon Sayer
From Bytes to Bites: Using Country Specific Machine Learning Models to Predict Famineby Salloni Kapoor,…
Summary of Convergence Of Sharpness-aware Minimization Algorithms Using Increasing Batch Size and Decaying Learning Rate, by Hinata Harada and Hideaki Iiduka
Convergence of Sharpness-Aware Minimization Algorithms using Increasing Batch Size and Decaying Learning Rateby Hinata Harada,…
Summary of Shire: Enhancing Sample Efficiency Using Human Intuition in Reinforcement Learning, by Amogh Joshi et al.
SHIRE: Enhancing Sample Efficiency using Human Intuition in REinforcement Learningby Amogh Joshi, Adarsh Kumar Kosta,…
Summary of On the Diagram Of Thought, by Yifan Zhang et al.
On the Diagram of Thoughtby Yifan Zhang, Yang Yuan, Andrew Chi-Chih YaoFirst submitted to arxiv…
Summary of Learning Latent Wireless Dynamics From Channel State Information, by Charbel Bou Chaaya et al.
Learning Latent Wireless Dynamics from Channel State Informationby Charbel Bou Chaaya, Abanoub M. Girgis, Mehdi…
Summary of Benchmarking Large Language Model Uncertainty For Prompt Optimization, by Pei-fu Guo et al.
Benchmarking Large Language Model Uncertainty for Prompt Optimizationby Pei-Fu Guo, Yun-Da Tsai, Shou-De LinFirst submitted…
Summary of Global Lightning-ignited Wildfires Prediction and Climate Change Projections Based on Explainable Machine Learning Models, by Assaf Shmuel et al.
Global Lightning-Ignited Wildfires Prediction and Climate Change Projections based on Explainable Machine Learning Modelsby Assaf…