Revisiting Hierarchical Text Classification : Inference and Metrics

This is a repository with the code for the EMNLP 2020 paper "Information-Theoretic Probing with Minimum Description Length"

utilities for decoding deep representations (like sentence embeddings) back to text

k-Nearest Neighbor Information Estimator

Inference code for Llama models

DSPy: The framework for programming—not prompting—foundation models

Erasing concepts from neural representations with provable guarantees

CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior

CausaLM: Causal Model Explanation Through Counterfactual Language Models

A reading list for papers on causality for natural language processing (NLP)

Framework for evaluating Graph Neural Network models on semi-supervised node classification task

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Graph Markov Neural Networks

Graph Convolutional Networks in PyTorch