-
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 • 152 -
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:2412.15115
-
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 239 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 18 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper • 2403.03206 • Published • 71
-
Attention Is All You Need
Paper • 1706.03762 • Published • 115 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 19 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 21 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 250
-
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 377 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
meta-llama/Llama-4-Scout-17B-16E-Instruct
Image-Text-to-Text • Updated • 202k • • 1.23k -
keras-io/GauGAN-Image-generation
Updated • 15 • 5
-
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 • 152 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Z-Image: An Efficient Image Generation Foundation Model with Single-Stream Diffusion Transformer
Paper • 2511.22699 • Published • 239 -
A Survey on Diffusion Language Models
Paper • 2508.10875 • Published • 34 -
Scalable Diffusion Models with Transformers
Paper • 2212.09748 • Published • 18 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper • 2403.03206 • Published • 71
-
Attention Is All You Need
Paper • 1706.03762 • Published • 115 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 19 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 21 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 250
-
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 377 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 627 -
meta-llama/Llama-4-Scout-17B-16E-Instruct
Image-Text-to-Text • Updated • 202k • • 1.23k -
keras-io/GauGAN-Image-generation
Updated • 15 • 5