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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2507.23268
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Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108 -
Causal Diffusion Transformers for Generative Modeling
Paper • 2412.12095 • Published • 23 -
Tensor Product Attention Is All You Need
Paper • 2501.06425 • Published • 90 -
TransMLA: Multi-head Latent Attention Is All You Need
Paper • 2502.07864 • Published • 58
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Causal Diffusion Transformers for Generative Modeling
Paper • 2412.12095 • Published • 23 -
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
Paper • 2412.09619 • Published • 28 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 48 -
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28
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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 • 77
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OpenMed NER: Open-Source, Domain-Adapted State-of-the-Art Transformers for Biomedical NER Across 12 Public Datasets
Paper • 2508.01630 • Published • 11 -
TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs
Paper • 2508.02455 • Published • 3 -
The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models
Paper • 2507.23313 • Published • 1 -
PixNerd: Pixel Neural Field Diffusion
Paper • 2507.23268 • Published • 51
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GenEx: Generating an Explorable World
Paper • 2412.09624 • Published • 97 -
IamCreateAI/Ruyi-Mini-7B
Image-to-Video • Updated • 233 • 610 -
Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation
Paper • 2412.06016 • Published • 20 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
OpenMed NER: Open-Source, Domain-Adapted State-of-the-Art Transformers for Biomedical NER Across 12 Public Datasets
Paper • 2508.01630 • Published • 11 -
TreeRanker: Fast and Model-agnostic Ranking System for Code Suggestions in IDEs
Paper • 2508.02455 • Published • 3 -
The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models
Paper • 2507.23313 • Published • 1 -
PixNerd: Pixel Neural Field Diffusion
Paper • 2507.23268 • Published • 51
-
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108 -
Causal Diffusion Transformers for Generative Modeling
Paper • 2412.12095 • Published • 23 -
Tensor Product Attention Is All You Need
Paper • 2501.06425 • Published • 90 -
TransMLA: Multi-head Latent Attention Is All You Need
Paper • 2502.07864 • Published • 58
-
GenEx: Generating an Explorable World
Paper • 2412.09624 • Published • 97 -
IamCreateAI/Ruyi-Mini-7B
Image-to-Video • Updated • 233 • 610 -
Track4Gen: Teaching Video Diffusion Models to Track Points Improves Video Generation
Paper • 2412.06016 • Published • 20 -
Byte Latent Transformer: Patches Scale Better Than Tokens
Paper • 2412.09871 • Published • 108
-
Causal Diffusion Transformers for Generative Modeling
Paper • 2412.12095 • Published • 23 -
SnapGen: Taming High-Resolution Text-to-Image Models for Mobile Devices with Efficient Architectures and Training
Paper • 2412.09619 • Published • 28 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 48 -
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 14 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
-
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 • 77