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An LLM-free Multi-dimensional Benchmark for Multi-modal Hallucination Evaluation
FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models
An Easy-to-use Hallucination Detection Framework for LLMs.
The official repository of the paper "The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs"
The main features of masaiahhan/correlationqa are: Evaluation Benchmarks, Hallucination Mitigation.
Projects with overlapping indexed features include: junyangwang0410/haelm — An automatic MLLM hallucination detection framework. openkg-org/easydetect — An Easy-to-use Hallucination Detection Framework for LLMs. bcdnlp/faithscore — FaithScore: Fine-grained Evaluations of Hallucinations in Large Vision-Language Models. 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,…