Stars
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
[EMNLP'24] MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning
Code for paper Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Official Code Repository for paper "HYDRA: Model Factorization Framework for Black-Box LLM Personalization"
[EMNLP 2024] This is the code for our paper "BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers".
[EMNLP'24] EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records
[DGM4H'23] Code repo for "Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics".
[ACL 2024 Findings] This is the code for our paper "Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models".
[KDD'23] This is the code repo for our KDD'23 paper "DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling".
ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.
The codes for our EMNLP'22 paper: ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select
Examples of how to create colorful, annotated equations in Latex using Tikz.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Docker based sandbox for smart apps