3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling
Ning Liao, Xiaoxing Wang, Zehao Lin +18
A large language model (LLM) with knowledge in both scientific and general tasks is the foundation of science general intelligence. However, directly continued pretraining an LLM u…
cs.CL2024
Training-free LLM-generated Text Detection by Mining Token Probability Sequences
Yihuai Xu, Yongwei Wang, Yifei Bi +4
Large language models (LLMs) have demonstrated remarkable capabilities in generating high-quality texts across diverse domains. However, the potential misuse of LLMs has raised sig…
q-bio.QM2024★ 3 cited
Autoregressive Enzyme Function Prediction with Multi-scale Multi-modality Fusion
Dingyi Rong, Wenzhuo Zheng, Bozitao Zhong +3
Accurate prediction of enzyme function is crucial for elucidating biological mechanisms and driving innovation across various sectors. Existing deep learning methods tend to rely s…