Challenging Gradient Boosted Decision Trees with Tabular Transformers for Fraud Detection at Booking.comby Sergei Krutikov,…
CG-FedLLM: How to Compress Gradients in Federated Fune-tuning for Large Language Modelsby Huiwen Wu, Xiaohan…
Fine-tuned In-Context Learning Transformers are Excellent Tabular Data Classifiersby Felix den Breejen, Sangmin Bae, Stephen…
ReALLM: A general framework for LLM compression and fine-tuningby Louis Leconte, Lisa Bedin, Van Minh…
Comparative Analysis of Different Efficient Fine Tuning Methods of Large Language Models (LLMs) in Low-Resource…
Efficient Imitation Learning with Conservative World Modelsby Victor Kolev, Rafael Rafailov, Kyle Hatch, Jiajun Wu,…
A Method on Searching Better Activation Functionsby Haoyuan Sun, Zihao Wu, Bo Xia, Pu Chang,…
SPO: Multi-Dimensional Preference Sequential Alignment With Implicit Reward Modelingby Xingzhou Lou, Junge Zhang, Jian Xie,…
Large scale scattering using fast solvers based on neural operatorsby Zongren Zou, Adar Kahana, Enrui…
WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articlesby Tabea…