Summary of Autonomous Data Selection with Zero-shot Generative Classifiers For Mathematical Texts, by Yifan Zhang et al.
Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Textsby Yifan Zhang, Yifan Luo, Yang…
Summary of Efficient Non-parametric Uncertainty Quantification For Black-box Large Language Models and Decision Planning, by Yao-hung Hubert Tsai et al.
Efficient Non-Parametric Uncertainty Quantification for Black-Box Large Language Models and Decision Planningby Yao-Hung Hubert Tsai,…
Summary of Radin: Souping on a Budget, by Thibaut Menes and Olivier Risser-maroix
RADIN: Souping on a Budgetby Thibaut Menes, Olivier Risser-MaroixFirst submitted to arxiv on: 31 Jan…
Summary of Vocabulary-defined Semantics: Latent Space Clustering For Improving In-context Learning, by Jian Gu et al.
Vocabulary-Defined Semantics: Latent Space Clustering for Improving In-Context Learningby Jian Gu, Aldeida Aleti, Chunyang Chen,…
Summary of Dirichlet-based Prediction Calibration For Learning with Noisy Labels, by Chen-chen Zong et al.
Dirichlet-Based Prediction Calibration for Learning with Noisy Labelsby Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie, Sheng-Jun…
Summary of Class Relevance Learning For Out-of-distribution Detection, by Butian Xiong et al.
Class Relevance Learning For Out-of-distribution Detectionby Butian Xiong, Liguang Zhou, Tin Lun Lam, Yangsheng XuFirst…