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MLLM-as-a-Judge for Image Safety without Human Labeling
Paper • 2501.00192 • Published • 32 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 110 -
Xmodel-2 Technical Report
Paper • 2412.19638 • Published • 27 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 107
Collections
Discover the best community collections!
Collections including paper arxiv:2505.24726
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Why Language Models Hallucinate
Paper • 2509.04664 • Published • 199 -
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
Paper • 2508.21184 • Published • 3 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Small Language Models are the Future of Agentic AI
Paper • 2506.02153 • Published • 24
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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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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 252 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 263
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Snowflake/Arctic-Text2SQL-R1-7B
8B • Updated • 6.86k • 70 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 133
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MLLM-as-a-Judge for Image Safety without Human Labeling
Paper • 2501.00192 • Published • 32 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 110 -
Xmodel-2 Technical Report
Paper • 2412.19638 • Published • 27 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 107
-
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
-
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 252 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 263
-
Why Language Models Hallucinate
Paper • 2509.04664 • Published • 199 -
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
Paper • 2508.21184 • Published • 3 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Small Language Models are the Future of Agentic AI
Paper • 2506.02153 • Published • 24
-
Snowflake/Arctic-Text2SQL-R1-7B
8B • Updated • 6.86k • 70 -
Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
Paper • 2505.24726 • Published • 282 -
Reinforcement Pre-Training
Paper • 2506.08007 • Published • 265 -
Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights
Paper • 2506.16406 • Published • 133