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Scaling Up LLMs: Simple Sampling, Voting Strategy for Improved Performance
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Scaling Up LLMs: Simple Sampling, Voting Strategy for Improved Performance

Jimmy W. -
0
EVA-CLIP-18B: Scaling Up the Future with 18 Billion Parameters
AI News

EVA-CLIP-18B: Scaling Up the Future with 18 Billion Parameters

Jimmy W. -
0
Unified Representation: Scaling Generative Models for Diverse Visual Data
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Unified Representation: Scaling Generative Models for Diverse Visual Data

Jimmy W. -
0
AIM: Vision Models Scaling Up with Autoregressive Pre-Training
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AIM: Vision Models Scaling Up with Autoregressive Pre-Training

Jimmy W. -
0
Exphormer: Scaling Graph Transformers with Sparse Expander Attention
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Exphormer: Scaling Graph Transformers with Sparse Expander Attention

Jimmy W. -
0
Scaling Robot Learning with Crowdsourced Feedback: A Breakthrough in AI Training
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Scaling Robot Learning with Crowdsourced Feedback: A Breakthrough in AI Training

Jimmy W. -
0
Scaling Robot Learning with Crowdsourced Nonexpert Feedback
AI News

Scaling Robot Learning with Crowdsourced Nonexpert Feedback

Jimmy W. -
0
Optimizing Model EMA: Scaling Rule for Enhanced Machine Learning Performance
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Optimizing Model EMA: Scaling Rule for Enhanced Machine Learning Performance

Jimmy W. -
0
AltUp: Scaling Transformer Neural Networks without Computational Burdens
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AltUp: Scaling Transformer Neural Networks without Computational Burdens

Jimmy W. -
0
Scaling Vision Language Models: The Power of Contrastive Pre-Training and SigLIP
AI News

Scaling Vision Language Models: The Power of Contrastive Pre-Training and SigLIP

Jimmy W. -
0
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