Large Language Model
AutoPSV: Automated Process-Supervised Verifier
PSV) to enhance the reasoning capabilities of large language models (LLMs) by automatically annotating the reasoning steps.
MutaPLM: Protein Language Modeling for Mutation Explanation and Engineering Yizhen Luo
Studying protein mutations within amino acid sequences holds tremendous significance in life sciences.
Mixture of In-Context Experts Enhance LLMs' Long Context Awareness
Hongzhan Lin and Ang Lv proposed the idea of MoICE.
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making Y ubin Kim
Foundation models are becoming valuable tools in medicine.
Explaining Datasets in Words: Statistical Models with Natural Language Parameters Ruiqi Zhong Heng Wang Dan Klein Jacob Steinhardt
However, these parameters are often high-dimensional and hard to interpret.
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation Y e Sun
"freely" into massive pre-training datasets to support large-scale pre-training.
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
This unified model can quickly adapt to new tasks without the need to retrain a large model.
