Perception Encoder: The best visual embeddings are not at the output of the network
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2504.13181
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Published
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23
Bryan Teo
bteo98
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Perception Encoder: The best visual embeddings are not at the output of
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SIFT-50M: A Large-Scale Multilingual Dataset for Speech Instruction
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amazon-agi/SIFT-50M
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bteo98's activity
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Babel: Open Multilingual Large Language Models Serving Over 90% of Global Speakers
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2503.00865
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63
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models
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2501.03262
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99
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
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2502.14786
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142
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3 months ago
Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
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2501.11873
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66
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
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2501.12948
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384
VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding
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2501.13106
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91
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4 months ago
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
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2412.13663
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148
No More Adam: Learning Rate Scaling at Initialization is All You Need
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2412.11768
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44
Qwen2.5 Technical Report
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2412.15115
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365
Byte Latent Transformer: Patches Scale Better Than Tokens
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2412.09871
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101
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8 months ago
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