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BiasEval-LLM-MentalHealth

imported

software/biaseval-llm-mentalhealth

Unveiling and Mitigating Bias in Mental Health Analysis with Large Language Models

Machine-generated from the listed sources and not yet reviewed by a human.

record
Category
Software & Systems
Subcategory
unknown
License
MIT(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
fairness · llm · mental-health
Regulatory
unknown
built by · 1

Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.

similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • Source code and models for the paper "Cyberbullying Detection with Fairness Constraints". IEEE Internet Computing, 2020

  • careyoullm · mental-health

    I'm an AI assistant with extensive knowledge in psychology, and my name is Care.

  • cbt-assistantllm · mental-health

    A local AI-powered CBT assistant with chat, RAG-based knowledge search, thought journaling, sleep tracking, mood assessments and SOS practices — all running privately on your machine via Ollama.

  • llm-alcohol-counselorllm · mental-health

    Supplementary Material: This document provides the prompt for "Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational Interviewing" paper:

  • PsyChatllm · mental-health

    PsyChat 是一款基于范例引导与Agentic RAG的智能 AI 心理咨询助手。基于高度匹配的Few-shot与学习笔记,应用理性情绪行为疗法(REBT)帮助用户识别并调整非理性信念,缓解负面情绪。

  • SoulChat2.0llm · mental-health

    Psychological Counselor's Digital Twin Framework(心理咨询师数字孪生框架)

sources
  1. api.github.com/repos/EternityYW/BiasEval-LLM-MentalHealth
    retrieved 2026-08-05 · via github-api

    Machine-imported from GitHub search. Last push 2024-06-21, 12 stars, license reported as MIT. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/4.json→ .entries["biaseval-llm-mentalhealth"]

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