Shi-Jie Guo

Toward unified and accurate description of multidimensional nuclear observables via a prior-informed large language model

A prior-informed large language model (LLM) driven multi-task learning framework is proposed for the unified and accurate description of multiple nuclear observables. By fine-tuning the pre-trained DeepSeek-R1-1.5B model with Low-Rank Adaptation (LoRA), lightweight adapters are introduced while preserving general pre...