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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 10 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 18 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 62 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
Collections
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Collections including paper arxiv:2401.10891
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 153 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
Paper • 2105.09501 • Published • 1 -
Cross-modal Contrastive Learning for Speech Translation
Paper • 2205.02444 • Published -
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
Paper • 2210.03052 • Published -
Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning
Paper • 2212.10240 • Published • 1
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Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
Paper • 2312.06134 • Published • 3 -
Efficient Monotonic Multihead Attention
Paper • 2312.04515 • Published • 8 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 40 -
Exploring Format Consistency for Instruction Tuning
Paper • 2307.15504 • Published • 8
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Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis
Paper • 2401.09048 • Published • 10 -
Improving fine-grained understanding in image-text pre-training
Paper • 2401.09865 • Published • 18 -
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
Paper • 2401.10891 • Published • 62 -
Scaling Up to Excellence: Practicing Model Scaling for Photo-Realistic Image Restoration In the Wild
Paper • 2401.13627 • Published • 78
-
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation
Paper • 2105.09501 • Published • 1 -
Cross-modal Contrastive Learning for Speech Translation
Paper • 2205.02444 • Published -
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
Paper • 2210.03052 • Published -
Diffusion Glancing Transformer for Parallel Sequence to Sequence Learning
Paper • 2212.10240 • Published • 1
-
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning
Paper • 2312.06134 • Published • 3 -
Efficient Monotonic Multihead Attention
Paper • 2312.04515 • Published • 8 -
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 40 -
Exploring Format Consistency for Instruction Tuning
Paper • 2307.15504 • Published • 8
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 153 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25