# Research Assistance

A specialized model for scientific paper abstract generation fine-tuned based on the PEGASUS architecture

A T5-small fine-tuned model for generating scientific paper abstracts, capable of extracting key information from research papers.

ChemVLM is a multimodal large language model focused on applications in the chemical field, combining text and image processing capabilities.

The first open-source large language model for chemistry and molecular science, built upon InternLM-2, specializing in the field of chemistry and molecular science.

A large language model optimized for the plant science domain based on the LLaMa-2-13b-base architecture, continuously pre-trained and fine-tuned with 1.5 million plant science papers

A biology domain model fine-tuned based on GPT-2, with unspecified training data and purposes

This is an abstract generation model trained via the AutoTrain platform, based on the BioBART architecture, suitable for text summarization tasks.

PMC_LLaMA_7B is a version fine-tuned on PMC papers from the S2ORC dataset based on LLaMA-7b, focusing on text generation tasks in the medical field.

This model is a question-answering system fine-tuned on the squad_v2 dataset based on PubMedBERT, suitable for medical domain Q&A tasks.

This model is a fine-tuned version of facebook/bart-base on the pub_med_summarization_dataset, primarily designed for medical literature summarization tasks.

A text generation model fine-tuned on medical literature abstract datasets based on BART-large-cnn, excelling in medical abstract generation tasks