Author: LLama 2 7B Chat
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LLaMA-2, the next generation of LLaMA. Meta trained and released LLaMA-2 in three model sizes: 7, 13, and 70 billion parameters. The model architecture remains largely unchanged from that of LLaMA-1 models, but 40% more data was used to train the foundational models. The accompanying preprint also mentions a model with 34B parameters that might be released in the future upon satisfying safety targets.
Computer Science, Computer Vision and Pattern Recognition
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Out-of-Distribution Generalization via Risk Extrapolation: A New Principle for Nonlinear ICA
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Enhancing Text-Driven Motion Generation with Language Understanding
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Enhancing Satellite Image Captioning with Numerical Metadata
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DreamComposer: Elevating Diffusion Models for Novel View Synthesis
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Enhancing Video Captioning with Rare Objects and Diverse Language
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Reversing the Curse: Uncovering the Limits of Autoregressive Language Models
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Adaptive Machine Learning-Enhanced Optimization for Scalar Field Reconstruction
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Audio and Speech Processing, Electrical Engineering and Systems Science
Adapting HuBERT for Japanese Speech Recognition: A Comparative Study
Computer Science, Machine Learning
Hierarchical Goal Regression in Serialized Task Networks: A Fine-Grained Analysis
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