NishilBalar/Awesome-LVLM-Hallucination
up-to-date curated list of state-of-the-art Large vision language models hallucinations research work, papers & resources
When working with Large Vision Language Models (LVLMs), also known as Multimodal Large Language Models (MLLMs), you might encounter 'hallucinations' where the model generates text describing things not present in the visual input. This resource provides an organized collection of state-of-the-art research papers, code, and descriptions related to detecting and mitigating these LVLM hallucinations. It's for researchers, developers, or practitioners who are building, evaluating, or deploying LVLMs and need to address their reliability.
283 stars.
Use this if you are actively working with Large Vision Language Models and need to understand, evaluate, or reduce instances where these models generate inaccurate or fabricated information from images.
Not ideal if you are looking for a pre-packaged tool or library that directly solves hallucination problems without requiring a deep dive into research papers and methodologies.
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Feb 08, 2026
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