Code repository for Kim et al's ACL 2024 paper: "Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs"

Code, models, and data for "Personalized Text Generation with Fine-Grained Linguistic Control". EACL 2024, Personalization of Generative AI.

Code and data for Koo et al's ACL 2024 paper "Benchmarking Cognitive Biases in Large Language Models as Evaluators"

A curated list of reinforcement learning with human feedback resources (continually updated)

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

A curated list of modern Generative Artificial Intelligence projects and services

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"

Multilingual/multidomain question generation datasets, models, and python library for question generation.

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

Attention Is All You Need | a PyTorch Tutorial to Transformers

pytorch implementation of various models for snli and mnli task

Awesome Knowledge Distillation

PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

The Annotated Encoder Decoder with Attention

pytorch implementation of Attention is all you need

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

Must-read Papers on Textual Adversarial Attack and Defense

Must-read papers on graph neural networks (GNN)

Using annotated transfer model for seq2seq modeling as a character level spelling corrector system

⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

sequence-to-sequence model for progressive Named Entity Recognition