Summary of Probing the Emergence Of Cross-lingual Alignment During Llm Training, by Hetong Wang et al.
Probing the Emergence of Cross-lingual Alignment during LLM Trainingby Hetong Wang, Pasquale Minervini, Edoardo M.…
Summary of Towards Robust Evaluation: a Comprehensive Taxonomy Of Datasets and Metrics For Open Domain Question Answering in the Era Of Large Language Models, by Akchay Srivastava et al.
Towards Robust Evaluation: A Comprehensive Taxonomy of Datasets and Metrics for Open Domain Question Answering…
Summary of Langtopo: Aligning Language Descriptions Of Graphs with Tokenized Topological Modeling, by Zhong Guan et al.
LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modelingby Zhong Guan, Hongke Zhao, Likang…
Summary of Skin Cancer Images Classification Using Transfer Learning Techniques, by Md Sirajul Islam et al.
Skin Cancer Images Classification using Transfer Learning Techniquesby Md Sirajul Islam, Sanjeev PantaFirst submitted to…
Summary of Additive Regularization Schedule For Neural Architecture Search, by Mark Potanin and Kirill Vayser and Vadim Strijov
Additive regularization schedule for neural architecture searchby Mark Potanin, Kirill Vayser, Vadim StrijovFirst submitted to…
Summary of Data Plagiarism Index: Characterizing the Privacy Risk Of Data-copying in Tabular Generative Models, by Joshua Ward et al.
Data Plagiarism Index: Characterizing the Privacy Risk of Data-Copying in Tabular Generative Modelsby Joshua Ward,…
Summary of Abnet: Attention Barriernet For Safe and Scalable Robot Learning, by Wei Xiao and Tsun-hsuan Wang and Daniela Rus
ABNet: Attention BarrierNet for Safe and Scalable Robot Learningby Wei Xiao, Tsun-Hsuan Wang, Daniela RusFirst…
Summary of Deriving Hematological Disease Classes Using Fuzzy Logic and Expert Knowledge: a Comprehensive Machine Learning Approach with Cbc Parameters, by Salem Ameen et al.
Deriving Hematological Disease Classes Using Fuzzy Logic and Expert Knowledge: A Comprehensive Machine Learning Approach…
Summary of Sharp Detection Of Low-dimensional Structure in Probability Measures Via Dimensional Logarithmic Sobolev Inequalities, by Matthew T.c. Li et al.
Sharp detection of low-dimensional structure in probability measures via dimensional logarithmic Sobolev inequalitiesby Matthew T.C.…
Summary of Accelerated Stochastic Min-max Optimization Based on Bias-corrected Momentum, by Haoyuan Cai et al.
Accelerated Stochastic Min-Max Optimization Based on Bias-corrected Momentumby Haoyuan Cai, Sulaiman A. Alghunaim, Ali H.SayedFirst…