Mmevol: Empowering multimodal large language models with evol-instruct
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This paper introduces Mmevol, a method that applies evol-instruct to multimodal large language models to enhance their reasoning abilities.
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This paper introduces Mmevol, a method that applies evol-instruct to multimodal large language models to enhance their reasoning abilities.
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WizardMath enhances mathematical reasoning in Llama-2 via Reinforcement Learning from Evol-Instruct Feedback (RLEIF), outperforming many open and closed-source LLMs.
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WizardCoder enhances the open-source Code LLM StarCoder using Code Evol-Instruct to improve code generation performance.
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Introduces Evol-Instruct, a method to generate large amounts of instruction data with varying complexity using LLMs instead of humans to fine-tune a Llama model.