Bringing BERT into modernity via both architecture changes and scaling

Curated papers on Large Language Models in Healthcare and Medical domain

An easy-to-use, flexible website template for labs.

Adding guardrails to large language models.

Extract full next-token probabilities via language model APIs

Open source clinical text de-identification

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

SHEPHERD: Few shot learning for phenotype-driven diagnosis of patients with rare genetic diseases

Papers on fairness in NLP

Concise, consistent, and legible badges in SVG and raster format

Flexible components pairing 🤗 Transformers with ⚡ Pytorch Lightning

Open source annotation tool for machine learning practitioners.

Multimodal Question Answering in the Medical Domain: A summary of Existing Datasets and Systems

🤖 A Python library for learning and evaluating knowledge graph embeddings

Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)

Must-read Papers on pre-trained language models.

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

ERNIE Pytorch Version

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

Pre-training of Graph Augmented Transformers for Medication Recommendation

Chronic Disease Prediction Using Medical Notes

Graph-based Attention Model

Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension

Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019

Natural language generation for discrete data in EHRs

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.