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MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Paper • 2407.21770 • Published • 22 -
VILA^2: VILA Augmented VILA
Paper • 2407.17453 • Published • 40 -
The Synergy between Data and Multi-Modal Large Language Models: A Survey from Co-Development Perspective
Paper • 2407.08583 • Published • 12 -
Vision language models are blind
Paper • 2407.06581 • Published • 83
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Congliu/Chinese-DeepSeek-R1-Distill-data-110k-SFT
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Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse
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Internal Consistency and Self-Feedback in Large Language Models: A Survey
Paper • 2407.14507 • Published • 46 -
New Desiderata for Direct Preference Optimization
Paper • 2407.09072 • Published • 10 -
Self-Recognition in Language Models
Paper • 2407.06946 • Published • 25 -
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
Paper • 2407.04842 • Published • 53
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