Summary of Anomaly Correction Of Business Processes Using Transformer Autoencoder, by Ziyou Gong et al.
Anomaly Correction of Business Processes Using Transformer Autoencoderby Ziyou Gong, Xianwen Fang, Ping WuFirst submitted…
Anomaly Correction of Business Processes Using Transformer Autoencoderby Ziyou Gong, Xianwen Fang, Ping WuFirst submitted…
LegalPro-BERT: Classification of Legal Provisions by fine-tuning BERT Large Language Modelby Amit TewariFirst submitted to…
EyeFormer: Predicting Personalized Scanpaths with Transformer-Guided Reinforcement Learningby Yue Jiang, Zixin Guo, Hamed Rezazadegan Tavakoli,…
All-in-one simulation-based inferenceby Manuel Gloeckler, Michael Deistler, Christian Weilbach, Frank Wood, Jakob H. MackeFirst submitted…
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Modelsby Guangyan Li, Yongqiang Tang,…
Adaptive Patching for High-resolution Image Segmentation with Transformersby Enzhi Zhang, Isaac Lyngaas, Peng Chen, Xiao…
State Space Model for New-Generation Network Alternative to Transformers: A Surveyby Xiao Wang, Shiao Wang,…
Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Modelsby Siyan…
WiTUnet: A U-Shaped Architecture Integrating CNN and Transformer for Improved Feature Alignment and Local Information…
Hierarchical Attention Models for Multi-Relational Graphsby Roshni G. Iyer, Wei Wang, Yizhou SunFirst submitted to…