Collections
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Collections including paper arxiv:2505.09388
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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 • 84 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 149 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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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 • 13 -
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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Qwen3 Technical Report
Paper • 2505.09388 • Published • 175 -
WebThinker: Empowering Large Reasoning Models with Deep Research Capability
Paper • 2504.21776 • Published • 55 -
Phi-4-Mini-Reasoning: Exploring the Limits of Small Reasoning Language Models in Math
Paper • 2504.21233 • Published • 45
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Skywork Open Reasoner 1 Technical Report
Paper • 2505.22312 • Published • 50 -
Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities
Paper • 2505.21191 • Published • 2 -
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Paper • 2505.03335 • Published • 168 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 175
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QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 83 -
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Paper • 2505.17612 • Published • 75 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 175 -
Absolute Zero: Reinforced Self-play Reasoning with Zero Data
Paper • 2505.03335 • Published • 168
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Scaling Law for Quantization-Aware Training
Paper • 2505.14302 • Published • 71 -
Reward Reasoning Model
Paper • 2505.14674 • Published • 34 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 175 -
AdaptThink: Reasoning Models Can Learn When to Think
Paper • 2505.13417 • Published • 78
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LLMs for Engineering: Teaching Models to Design High Powered Rockets
Paper • 2504.19394 • Published • 13 -
Generative AI for Character Animation: A Comprehensive Survey of Techniques, Applications, and Future Directions
Paper • 2504.19056 • Published • 16 -
100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models
Paper • 2505.00551 • Published • 37 -
The Leaderboard Illusion
Paper • 2504.20879 • Published • 70
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BLIP3-o: A Family of Fully Open Unified Multimodal Models-Architecture, Training and Dataset
Paper • 2505.09568 • Published • 88 -
Qwen3 Technical Report
Paper • 2505.09388 • Published • 175 -
GuardReasoner-VL: Safeguarding VLMs via Reinforced Reasoning
Paper • 2505.11049 • Published • 59 -
Emerging Properties in Unified Multimodal Pretraining
Paper • 2505.14683 • Published • 128