d223302

A-Closer-Look-To-LLM-Evaluation

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

AACL2022-Pretrain-Language-Model-Tutorial

albert-embryology

ALCE

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

d223302.github.io

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"

Over-Reasoning-of-LLMs

Data and code for EACL'24 paper: Over-Reasoning and Redundant Calculation of Large Language Models

SubjectiveEvaluation

Transformer-Structure

d223302/A-Closer-Look-To-LLM-Evaluation

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

d223302/albert-embryology

d223302/Over-Reasoning-of-LLMs

Data and code for EACL'24 paper: Over-Reasoning and Redundant Calculation of Large Language Models

d223302/LLM-Evaluation

Can Large Language Models Be an Alternative to Human Evaluations?

d223302/AACL2022-Pretrain-Language-Model-Tutorial

d223302/Merging-Facts-Crafting-Fallacies

Code for paper "Merging Facts, Crafting Fallacies: Evaluating the Contradictory Nature of Aggregated Factual Claims in Long-Form Generations"

d223302/SubjectiveEvaluation

d223302/Transformer-Structure

d223302/ALCE

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

d223302/d223302.github.io

d223302/electra

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

d223302/jiant

The jiant toolkit for general-purpose text understanding models

d223302/MCD_DA

d223302/MOS-evaluation

d223302/Non-Targeted-Adversarial-Attacks

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

d223302/OptiPrompt

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

d223302/SierraBreeze

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

d223302/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.

d223302/stanford-tensorflow-tutorials

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

d223302/TextAttack

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

d223302/transformers

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

d223302/ZeroSpeech-TTS-without-T

A Pytorch implementation for the ZeroSpeech 2019 challenge.