Summary of Learning on Model Weights Using Tree Experts, by Eliahu Horwitz et al.
Learning on Model Weights using Tree Expertsby Eliahu Horwitz, Bar Cavia, Jonathan Kahana, Yedid HoshenFirst…
Learning on Model Weights using Tree Expertsby Eliahu Horwitz, Bar Cavia, Jonathan Kahana, Yedid HoshenFirst…
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Modelsby Yu…
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Breaking the Manual Annotation Bottleneck: Creating a Comprehensive Legal Case Criticality Dataset through Semi-Automated Labelingby…
Unlocking Legal Knowledge: A Multilingual Dataset for Judicial Summarization in Switzerlandby Luca Rolshoven, Vishvaksenan Rasiah,…
Quamba: A Post-Training Quantization Recipe for Selective State Space Modelsby Hung-Yueh Chiang, Chi-Chih Chang, Natalia…
An Evolved Universal Transformer Memoryby Edoardo Cetin, Qi Sun, Tianyu Zhao, Yujin TangFirst submitted to…
LLM Chain Ensembles for Scalable and Accurate Data Annotationby David Farr, Nico Manzonelli, Iain Cruickshank,…
Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphsby Kai Wang, Siqiang…
MAX: Masked Autoencoder for X-ray Fluorescence in Geological Investigationby An-Sheng Lee, Yu-Wen Pao, Hsuan-Tien Lin,…