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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:2504.06263
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OmniSVG: A Unified Scalable Vector Graphics Generation Model
Paper • 2504.06263 • Published • 182 -
InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
Paper • 2510.11341 • Published • 34 -
SVGThinker: Instruction-Aligned and Reasoning-Driven Text-to-SVG Generation
Paper • 2509.24299 • Published -
VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation
Paper • 2511.02778 • Published • 102
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ReZero: Enhancing LLM search ability by trying one-more-time
Paper • 2504.11001 • Published • 16 -
FonTS: Text Rendering with Typography and Style Controls
Paper • 2412.00136 • Published • 1 -
GenEx: Generating an Explorable World
Paper • 2412.09624 • Published • 97 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 158
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Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion
Paper • 2412.09593 • Published • 18 -
CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up
Paper • 2412.16112 • Published • 23 -
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
Paper • 2412.14171 • Published • 24 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 48
-
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
-
OmniSVG: A Unified Scalable Vector Graphics Generation Model
Paper • 2504.06263 • Published • 182 -
InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
Paper • 2510.11341 • Published • 34 -
SVGThinker: Instruction-Aligned and Reasoning-Driven Text-to-SVG Generation
Paper • 2509.24299 • Published -
VCode: a Multimodal Coding Benchmark with SVG as Symbolic Visual Representation
Paper • 2511.02778 • Published • 102
-
ReZero: Enhancing LLM search ability by trying one-more-time
Paper • 2504.11001 • Published • 16 -
FonTS: Text Rendering with Typography and Style Controls
Paper • 2412.00136 • Published • 1 -
GenEx: Generating an Explorable World
Paper • 2412.09624 • Published • 97 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 158
-
Neural LightRig: Unlocking Accurate Object Normal and Material Estimation with Multi-Light Diffusion
Paper • 2412.09593 • Published • 18 -
CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up
Paper • 2412.16112 • Published • 23 -
Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
Paper • 2412.14171 • Published • 24 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 48