Pinned Repositories
COMP90042_Workshops
COMP90051_2020_S1
Materials for SML 2020 S1
COMP90051_Workshops
Diverse_Adversaries_for_Mitigating_Bias_in_Training
Source codes for EACL 2021 paper "Diverse Adversaries for Mitigating Bias in Training"
Fair_Dataset_Distillation
Source codes for SustaiNLP@EMNLP 2022 paper "Towards Fair Supervised Dataset Distillation for Text Classification"
Fair_Enough
Source codes for EACL 2023 paper "Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP"
do-not-answer
Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
fairlib
A framework for assessing and improving classification fairness.
OpenFactVerification
Loki: Open-source solution designed to automate the process of verifying factuality
OpenRedTeaming
Papers about red teaming LLMs and Multimodal models.
HanXudong's Repositories
HanXudong/COMP90051_Workshops
HanXudong/COMP90042_Workshops
HanXudong/COMP90051_2020_S1
Materials for SML 2020 S1
HanXudong/Diverse_Adversaries_for_Mitigating_Bias_in_Training
Source codes for EACL 2021 paper "Diverse Adversaries for Mitigating Bias in Training"
HanXudong/Fair_Dataset_Distillation
Source codes for SustaiNLP@EMNLP 2022 paper "Towards Fair Supervised Dataset Distillation for Text Classification"
HanXudong/Fair_Enough
Source codes for EACL 2023 paper "Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP"
HanXudong/An_Unsupervised_Locality-based_Method_for_Bias_Mitigation
Source codes for ICLR 2023 paper "Everybody Needs Good Neighbours: An Unsupervised Locality-based Method for Bias Mitigation"
HanXudong/GLoM
Source codes for EMNLP 2019 paper "Grounding learning of modifier dynamics: An application to color naming"
HanXudong/Systematic_Evaluation_of_Predictive_Fairness
Source codes for AACL 2022 paper "Systematic Evaluation of Predictive Fairness"
HanXudong/ReImplementation_Robust_and_Privacy_preserving_Text_Representations
PyTorch ReImplementations for ''Towards Robust and Privacy-preserving Text Representations''
HanXudong/Achieving_Fairness_Through_Balanced_Training
Source codes for EMNLP 2022 paper "Balancing out Bias: Achieving Fairness Through Balanced Training"
HanXudong/alpa
Training and serving large-scale neural networks
HanXudong/amazing-github-template
🚀 Useful README.md, LICENSE, CONTRIBUTING.md, CODE_OF_CONDUCT.md, SECURITY.md, GitHub Issues, Pull Requests and Actions templates to jumpstart your projects.
HanXudong/Balanced-Datasets-Are-Not-Enough
[ICCV'19] Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations
HanXudong/dataset-distillation
Soft-Label Dataset Distillation and Text Dataset Distillation
HanXudong/Decoupling_Adversarial_Training_for_Fair_NLP
Source codes for ACL 2021 paper "Decoupling Adversarial Training for Fair NLP"
HanXudong/demog-text-removal
HanXudong/Does_Representational_Fairness_Imply_Empirical_Fairness
Source codes for AACL 2022 paper "Does Representational Fairness Imply Empirical Fairness?"
HanXudong/fairbatch
HanXudong/fairness-with-overlapping-groups
HanXudong/FastChat
An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.
HanXudong/HaowangResume
HanXudong/k2-safety-sft
HanXudong/lm-evaluation-harness
A framework for few-shot evaluation of autoregressive language models.
HanXudong/Multilingual_Fairness_LREC
Data and code repository of " Multilingual Fairness Evaluation for Hate Speech Detection ". LREC 2020.
HanXudong/OpenKE
An Open-Source Package for Knowledge Embedding (KE)
HanXudong/ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
HanXudong/Python-double-corrected-variance-estimator
A Python implementation for double-corrected-variance-estimator
HanXudong/readmine
Example README file demonstrating a suggested README file structure for software projects
HanXudong/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization