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MM-IFEngine: Enhancing Multimodal Instruction by br.naveenkumar.gowda is a document available to read on EtoBox.
What is MM-IFEngine: Enhancing Multimodal Instruction about?
The document presents the MM-IFEngine, a pipeline designed to generate high-quality multimodal instruction-following datasets, addressing the limitations of existing benchmarks in terms of diversity and complexity. It introduces two datasets, MM-IFInstruct-23k for Supervised Fine-Tuning and MM-IFDPO-23k for Direct Preference Optimization, which significantly improve performance on various instruction-following benchmarks. The paper also outlines the MM-IFEval benchmark, which features diverse constraints an
- Author
- br.naveenkumar.gowda
- Language
- EN