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A curated list of resources for using LLMs to develop more competitive grant applications.
Llama3-Tutorial（XTuner、LMDeploy、OpenCompass）
The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"
Bio relation extraction labeled dataset
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
BARTScore: Evaluating Generated Text as Text Generation
Convolutional Neural Network for Text Classification in Tensorflow
A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.
The implementation of "Does Multi-Encoder Help? A Case Study on Context-AwareNeural Machine Translation"
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
pytorch实现 Bert 做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持t5模型，支持GPT2进行文章续写。
Text Summarization using Pointer Attention Models
An implementation of pointer generator network by using bert as encoder and transformer decoder.
A BERT-Transformer network for abstractive text summarization
A set of scripts to grab public datasets from resources related to arXiv
Seq2RDF: end-to-end Neural Triple Translation
Cross-type Biomedical Named Entity Recognition with Deep Multi-task Learning (Bioinformatics'19)
A tool to automatically summarize documents abstractively using the BART or PreSumm Machine Learning Model.
Neural Attention Model for Abstractive Summarization
zhongxiangboy / Neural-Attention-Model-For-Abstractive-Sentence-Summarization
Forked from webblearning/Neural-Attention-Model-For-Abstractive-Sentence-SummarizationTensorflow implementation of a Neural Attention Model for Abstractive Summarization.