Summary of Legal Judgment Reimagined: Predex and the Rise Of Intelligent Ai Interpretation in Indian Courts, by Shubham Kumar Nigam et al.
Legal Judgment Reimagined: PredEx and the Rise of Intelligent AI Interpretation in Indian Courtsby Shubham…
Summary of Vectorized Conditional Neural Fields: a Framework For Solving Time-dependent Parametric Partial Differential Equations, by Jan Hagnberger et al.
Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equationsby Jan Hagnberger,…
Summary of Twins: Revisiting Non-stationarity in Multivariate Time Series Forecasting, by Jiaxi Hu et al.
TwinS: Revisiting Non-Stationarity in Multivariate Time Series Forecastingby Jiaxi Hu, Qingsong Wen, Sijie Ruan, Li…
Summary of Credit Card Fraud Detection Using Advanced Transformer Model, by Chang Yu et al.
Credit Card Fraud Detection Using Advanced Transformer Modelby Chang Yu, Yongshun Xu, Jin Cao, Ye…
Summary of Cross-variable Linear Integrated Enhanced Transformer For Photovoltaic Power Forecasting, by Jiaxin Gao et al.
Cross-variable Linear Integrated ENhanced Transformer for Photovoltaic power forecastingby Jiaxin Gao, Qinglong Cao, Yuntian Chen,…
Summary of Synthetic Oversampling: Theory and a Practical Approach Using Llms to Address Data Imbalance, by Ryumei Nakada et al.
Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalanceby Ryumei Nakada,…
Summary of A Comparison Of Recent Algorithms For Symbolic Regression to Genetic Programming, by Yousef A. Radwan et al.
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programmingby Yousef A. Radwan, Gabriel…
Summary of Advancing Anomaly Detection: Non-semantic Financial Data Encoding with Llms, by Alexander Bakumenko (1) et al.
Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMsby Alexander Bakumenko, Kateřina Hlaváčková-Schindler, Claudia Plant,…
Summary of Computational Limits Of Low-rank Adaptation (lora) For Transformer-based Models, by Jerry Yao-chieh Hu et al.
Computational Limits of Low-Rank Adaptation (LoRA) for Transformer-Based Modelsby Jerry Yao-Chieh Hu, Maojiang Su, En-Jui…
Summary of Global Clipper: Enhancing Safety and Reliability Of Transformer-based Object Detection Models, by Qutub Syed Sha et al.
Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Modelsby Qutub Syed Sha, Michael…