Summary of How to Train Long-context Language Models (effectively), by Tianyu Gao et al.
How to Train Long-Context Language Models (Effectively)by Tianyu Gao, Alexander Wettig, Howard Yen, Danqi ChenFirst…
Summary of Metametrics: Calibrating Metrics For Generation Tasks Using Human Preferences, by Genta Indra Winata et al.
MetaMetrics: Calibrating Metrics For Generation Tasks Using Human Preferencesby Genta Indra Winata, David Anugraha, Lucky…
Summary of Seal: Semantic-augmented Imitation Learning Via Language Model, by Chengyang Gu et al.
SEAL: SEmantic-Augmented Imitation Learning via Language Modelby Chengyang Gu, Yuxin Pan, Haotian Bai, Hui Xiong,…
Summary of Dataset Distillation Via Knowledge Distillation: Towards Efficient Self-supervised Pre-training Of Deep Networks, by Siddharth Joshi et al.
Dataset Distillation via Knowledge Distillation: Towards Efficient Self-Supervised Pre-Training of Deep Networksby Siddharth Joshi, Jiayi…
Summary of Semi-supervised Fine-tuning Of Vision Foundation Models with Content-style Decomposition, by Mariia Drozdova et al.
Semi-Supervised Fine-Tuning of Vision Foundation Models with Content-Style Decompositionby Mariia Drozdova, Vitaliy Kinakh, Yury Belousov,…
Summary of Bayesian Binary Search, by Vikash Singh et al.
Bayesian Binary Searchby Vikash Singh, Matthew Khanzadeh, Vincent Davis, Harrison Rush, Emanuele Rossi, Jesse Shrader,…
Summary of Cxpmrg-bench: Pre-training and Benchmarking For X-ray Medical Report Generation on Chexpert Plus Dataset, by Xiao Wang et al.
CXPMRG-Bench: Pre-training and Benchmarking for X-ray Medical Report Generation on CheXpert Plus Datasetby Xiao Wang,…
Summary of Machine Learning in Industrial Quality Control Of Glass Bottle Prints, by Maximilian Bundscherer et al.
Machine Learning in Industrial Quality Control of Glass Bottle Printsby Maximilian Bundscherer, Thomas H. Schmitt,…
Summary of Calibrating Language Models with Adaptive Temperature Scaling, by Johnathan Xie et al.
Calibrating Language Models with Adaptive Temperature Scalingby Johnathan Xie, Annie S. Chen, Yoonho Lee, Eric…
Summary of An Unbiased Risk Estimator For Partial Label Learning with Augmented Classes, by Jiayu Hu et al.
An Unbiased Risk Estimator for Partial Label Learning with Augmented Classesby Jiayu Hu, Senlin Shu,…