Cheng-Han Chiang's repositories
A-Closer-Look-To-LLM-Evaluation
Code for EMNLP 2023 findings paper "A Closer Look into Using Large Language Models for Automatic Evaluation"
Over-Reasoning-of-LLMs
Data and code for EACL'24 paper: Over-Reasoning and Redundant Calculation of Large Language Models
LLM-Evaluation
Can Large Language Models Be an Alternative to Human Evaluations?
Merging-Facts-Crafting-Fallacies
Code for paper "Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations"
ALCE
[EMNLP 2023] Enabling Large Language Models to Generate Text with Citations. Paper: https://arxiv.org/abs/2305.14627
electra
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
jiant
The jiant toolkit for general-purpose text understanding models
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 Machine Learning for Pytorch, TensorFlow, and JAX.
ZeroSpeech-TTS-without-T
A Pytorch implementation for the ZeroSpeech 2019 challenge.