3 papers
cs.CL2026
Beyond Static Models: An Evolving Framework for Continual Learning in Large Language Models across Training Stages
Hongyang Chen, Zhongwu Sun, Hongfei Ye +2
Continual learning (CL) has emerged as a pivotal paradigm to enable large language models (LLMs) to dynamically adapt to evolving knowledge and sequential tasks while mitigating ca…
cs.LG2024
Contextual Representation Anchor Network to Alleviate Selection Bias in Few-Shot Drug Discovery
Ruifeng Li, Wei Liu, Xiangxin Zhou +4
In the drug discovery process, the low success rate of drug candidate screening often leads to insufficient labeled data, causing the few-shot learning problem in molecular propert…
cs.LG2024
Diffusion-based Graph Generative Methods
Hongyang Chen, Can Xu, Lingyu Zheng +2
Being the most cutting-edge generative methods, diffusion methods have shown great advances in wide generation tasks. Among them, graph generation attracts significant research att…