IEEE

An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-Tuning

Abstract: Catastrophic forgetting (CF) is a phenomenon that occurs in machine learning when a model forgets previously learned information while acquiring new knowledge for achieving satisfactory ...
EurekAlert!

Insilico Medicine launches science MMAI gym to train frontier LLMs into pharmaceutical-grade scientific engines

New “AI GYM for Science” dramatically boosts the biological and chemical intelligence of any causal or frontier LLM, delivering up to 10x performance gains on key drug discovery benchmarks and ...
Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
IEEE

Channel Prediction in 6G Non-Terrestrial Networks With Deep Learning: a Physical Layer Analysis

Abstract: Channel prediction on the user equipment side has recently been identified as one of the main use cases for artificial intelligence in the radio access network. With advanced neural networks ...