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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
Collections
Discover the best community collections!
Collections including paper arxiv:2508.19205
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DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 191 -
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
Paper • 2401.00849 • Published • 17 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 42
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How AI Impacts Skill Formation
Paper • 2601.20245 • Published • 9 -
GLM-5: from Vibe Coding to Agentic Engineering
Paper • 2602.15763 • Published • 139 -
SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
Paper • 2602.12670 • Published • 59 -
Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models
Paper • 2602.15772 • Published • 7
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The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
Paper • 2509.26507 • Published • 550 -
mHC: Manifold-Constrained Hyper-Connections
Paper • 2512.24880 • Published • 321 -
NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos
Paper • 2601.00393 • Published • 133 -
LTX-2: Efficient Joint Audio-Visual Foundation Model
Paper • 2601.03233 • Published • 176
-
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
-
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 191 -
COSMO: COntrastive Streamlined MultimOdal Model with Interleaved Pre-Training
Paper • 2401.00849 • Published • 17 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing
Paper • 2311.00571 • Published • 42
-
How AI Impacts Skill Formation
Paper • 2601.20245 • Published • 9 -
GLM-5: from Vibe Coding to Agentic Engineering
Paper • 2602.15763 • Published • 139 -
SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
Paper • 2602.12670 • Published • 59 -
Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models
Paper • 2602.15772 • Published • 7
-
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
Paper • 2509.26507 • Published • 550 -
mHC: Manifold-Constrained Hyper-Connections
Paper • 2512.24880 • Published • 321 -
NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos
Paper • 2601.00393 • Published • 133 -
LTX-2: Efficient Joint Audio-Visual Foundation Model
Paper • 2601.03233 • Published • 176