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bcdnlp avatar

bcdnlp/FAITHSCORE

0
View on GitHub↗
33 stars·7 forks·Python·MIT·11 views

FAITHSCORE

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

Features

  • Evaluation Benchmarks - Evaluates hallucination levels in vision-language models.
  • Hallucination Mitigation - Evaluation framework for measuring hallucinations in vision-language models.

Star history

Star history chart for bcdnlp/faithscoreStar history chart for bcdnlp/faithscore

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with FAITHSCORE

These projects share indexed features with FAITHSCORE. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • masaiahhan/correlationqaMasaiahHan avatar

    MasaiahHan/CorrelationQA

    8View on GitHub↗

    The official repository of the paper "The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs"

    Python
    View on GitHub↗8
  • junyangwang0410/haelmjunyangwang0410 avatar

    junyangwang0410/HaELM

    19View on GitHub↗

    An automatic MLLM hallucination detection framework

    Python
    View on GitHub↗19
  • junyangwang0410/amberjunyangwang0410 avatar

    junyangwang0410/AMBER

    169View on GitHub↗

    An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation

    Python
    View on GitHub↗169
  • openkg-org/easydetectOpenKG-ORG avatar

    OpenKG-ORG/EasyDetect

    64View on GitHub↗

    An Easy-to-use Hallucination Detection Framework for LLMs.

    Pythonaigceasydetectgeneration
    View on GitHub↗64
Compare all 30 related projects→

Frequently asked questions

What does bcdnlp/faithscore do?

FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models

What are the main features of bcdnlp/faithscore?

The main features of bcdnlp/faithscore are: Evaluation Benchmarks, Hallucination Mitigation.

Which projects share features with bcdnlp/faithscore?

Projects with overlapping indexed features include: masaiahhan/correlationqa — The official repository of the paper "The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs". openkg-org/easydetect — An Easy-to-use Hallucination Detection Framework for LLMs. junyangwang0410/haelm — An automatic MLLM hallucination detection framework. junyangwang0410/amber — An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation. pku-yuangroup/chatlaw — ChatLaw is a specialized large language model legal assistant designed to provide automated consulting and question… datawhalechina/prompt-engineering-for-developers — This project is a technical curriculum and development guide focused on large language model prompt engineering,…