d223302

A-Closer-Look-To-LLM-Evaluation

Code for EMNLP 2023 findings paper "A Closer Look into Using Large Language Models for Automatic Evaluation"

albert-embryology

LLM-Evaluation

Can Large Language Models Be an Alternative to Human Evaluations?

AACL2022-Pretrain-Language-Model-Tutorial

SubjectiveEvaluation

Transformer-Structure

ALCE

[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627

d223302.github.io

electra

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

jiant

The jiant toolkit for general-purpose text understanding models

MCD_DA

MOS-evaluation

Non-Targeted-Adversarial-Attacks

A non-targeted adversarial attack method, which won the first place in NIPS 2017 non-targeted adversarial attacks competition

OptiPrompt

NAACL'2021: Factual Probing Is [MASK]: Learning vs. Learning to Recall

SierraBreeze

OSX-like window decoration for KDE Plasma written in C++

self-rag

This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

TextAttack

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

ZeroSpeech-TTS-without-T

A Pytorch implementation for the ZeroSpeech 2019 challenge.