Shypd.aiThe largest open index of AI toolsAwesome-MLLM-Hallucination is an academic research tool that provides a curated list of resources dedicated to hallucination in multimodal large language models (MLLM). It includes papers, codes, and other materials for researchers and practitioners.
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Awesome-MLLM-Hallucination is a comprehensive GitHub repository offering a curated list of resources focused on the phenomenon of hallucination in Multimodal Large Language Models (MLLM), also known as Large Vision-Language Models (LVLM). This resource is invaluable for researchers and practitioners, providing access to papers, code, and other materials. It categorizes resources into hallucination evaluation & analysis and hallucination mitigation, with papers listed from newest to oldest. The repository highlights key observations from recent updates, including diverse analyses of root causes, the rise of training-free mitigation solutions, the importance of contrastive decoding, and emerging RL-based methods. It also covers fresh angles for mitigation such as visual prompting, RAG, and rationale reasoning. The project is actively maintained and welcomes contributions.
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