[NLPCC 2024] Shared Task 10: Regulating Large Language Models
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Updated
Jun 12, 2024
[NLPCC 2024] Shared Task 10: Regulating Large Language Models
Detoxifying Online Discourse: A Guided Response Generation Approach for Reducing Toxicity in User-Generated Text
This reposity contains the source code of the ACL'25 paper "Contrastive Perplexity for Controlled Generation: An Application in Detoxifying Large Language Models". Paper abstract: "The generation of undesirable and factually incorrect content of large language models poses a significant challenge and remains largely an unsolved issue. This pap...
sNeuron-TST adapted as a baseline for the ParaDeHate hate-speech detoxification paper (arXiv:2506.01484), with fixes to run on modern transformers (upstreamed in wenlai-lavine/sNeuron-TST#6).
PMLDL Assignment 1
Exploratory framework for span-guided multilingual text detoxification across English, Chinese, and Korean.
U of T 2025 Winter MIE1517 Final project
Code for studying when harmful-span guidance helps or hurts the toxicity-meaning trade-off in text detoxification.
Fine-tuning FLAN-T5 with PPO and PEFT to generate less toxic text summaries. This notebook leverages Meta AI's hate speech reward model and utilizes RLHF techniques for improved safety.
This repository contains the source code for the frontend of the HealHub Health website: HealHub Health is a website that provides information about mental healthcare servces.
A multilingual text analysis system that performs sentiment analysis and toxicity detection with detoxified text generation.
Multilingual harmful-span detection and controlled detoxification across English, Chinese, and Korean.
To associate your repository with the detoxification topic, visit your repo's landing page and select "manage topics."