3 papers
cs.LG2026
Evo: Autoregressive-Diffusion Large Language Models with Evolving Balance
Junde Wu, Minhao Hu, Jiayuan Zhu +7
We introduce \textbf{Evo}, a duality latent trajectory model that bridges autoregressive (AR) and diffusion-based language generation within a continuous evolutionary generative fr…
cs.LG2025
Generalization and Optimization of SGD with Lookahead
Kangcheng Li, Yunwen Lei
The Lookahead optimizer enhances deep learning models by employing a dual-weight update mechanism, which has been shown to improve the performance of underlying optimizers such as…
q-bio.QM2025
Advancing bioinformatics with large language models: components, applications and perspectives
Jiajia Liu, Mengyuan Yang, Yankai Yu +4
Large language models (LLMs) are a class of artificial intelligence models based on deep learning, which have great performance in various tasks, especially in natural language pro…