# Research Assistant Tool

A statically quantized model based on the T5 architecture, specialized for academic paper abstract generation tasks

A biomedical-specific model fine-tuned based on Llama-3.2-1B-Instruct, trained on 625,000 samples with 25,000 chain-of-thought (CoT) guidance samples to enhance reasoning capabilities

This model is a fine-tuned version of t5-small, optimized for summarizing scientific and medical texts using the PubMed dataset.

TF-ID is a visual object detection model specifically designed for extracting tables and charts from academic papers, fine-tuned based on Florence-2

This is a biomedical paper abstract generation model based on the LED architecture, specifically optimized for PubMed literature.

A biomedical literature section classification model fine-tuned on PubMedBERT for identifying text section types

SciFive is a text-to-text transfer model specifically designed for biomedical literature, trained on PubMed and PMC open-access journal full-text databases.

A paper abstract-to-title generation model fine-tuned on mt5-small, trained for 4 hours on the arxiv dataset

A text generation model fine-tuned on biomedical paper abstract datasets based on the BART-large architecture