The article introduces SPHINX-X, a Multi-modality Large Language Model (MLLM) series, which is an enhancement of the SPHINX framework. The researchers have improved the architecture and training efficiency by removing…
Continue readingThe study introduces CMMU, a benchmark tool for evaluating the understanding and reasoning abilities of multi-modal large language models (MLLMs) in Chinese. It comprises 3,603 questions across 7 subjects, covering…
Continue readingThis academic article discusses the potential of GPT-4V (multi-modal large language models) in marine analysis. Despite the success of GPT-4V in various fields, its use in domain-specific analysis like marine…
Continue readingThe article presents OPERA, a novel decoding method for multi-modal large language models (MLLMs) to reduce hallucinations. The approach is based on an Over-trust Penalty and a Retrospection-Allocation strategy. This…
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