ConvLLaVA's Visual Compression, Efficient LLVM, Multilingual Aya 23, and AutoCoder's Code Mastery
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ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of Generalization Aya 23: Open Weight Releases to Further Multilingual Progress Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training AutoCoder: Enhancing Code Large Language Model with AIEV-Instruct
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