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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:2509.22186
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tencent/HunyuanOCR
Image-Text-to-Text • 1.0B • Updated • 413k • 650 -
HunyuanOCR Technical Report
Paper • 2511.19575 • Published • 19 -
PaddlePaddle/PaddleOCR-VL
Image-Text-to-Text • 1.0B • Updated • 21.9k • 1.39k -
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Paper • 2510.14528 • Published • 104
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MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 136 -
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Paper • 2510.14528 • Published • 104 -
MinerU: An Open-Source Solution for Precise Document Content Extraction
Paper • 2409.18839 • Published • 34
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PaddlePaddle/PaddleOCR-VL
Image-Text-to-Text • 1.0B • Updated • 21.9k • 1.39k -
nanonets/Nanonets-OCR2-3B
Image-Text-to-Text • 4B • Updated • 90k • 455 -
deepseek-ai/DeepSeek-OCR
Image-Text-to-Text • 3B • Updated • 5.45M • 2.94k -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 136
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Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning
Paper • 2510.03259 • Published • 57 -
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
Paper • 2510.07242 • Published • 30 -
First Try Matters: Revisiting the Role of Reflection in Reasoning Models
Paper • 2510.08308 • Published • 24 -
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 75
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PretrainZero: Reinforcement Active Pretraining
Paper • 2512.03442 • Published • 39 -
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs
Paper • 2512.03383 • Published • 3 -
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
Paper • 2511.21689 • Published • 96 -
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
Paper • 2511.18890 • Published • 29
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MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models
Paper • 2511.18373 • Published • 5 -
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
Paper • 2511.13288 • Published • 17 -
Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens
Paper • 2511.19418 • Published • 26 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 107
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TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 14 -
MinerU: An Open-Source Solution for Precise Document Content Extraction
Paper • 2409.18839 • Published • 34 -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 136 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 121
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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
-
PretrainZero: Reinforcement Active Pretraining
Paper • 2512.03442 • Published • 39 -
UniQL: Unified Quantization and Low-rank Compression for Adaptive Edge LLMs
Paper • 2512.03383 • Published • 3 -
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
Paper • 2511.21689 • Published • 96 -
Nemotron-Flash: Towards Latency-Optimal Hybrid Small Language Models
Paper • 2511.18890 • Published • 29
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tencent/HunyuanOCR
Image-Text-to-Text • 1.0B • Updated • 413k • 650 -
HunyuanOCR Technical Report
Paper • 2511.19575 • Published • 19 -
PaddlePaddle/PaddleOCR-VL
Image-Text-to-Text • 1.0B • Updated • 21.9k • 1.39k -
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Paper • 2510.14528 • Published • 104
-
MASS: Motion-Aware Spatial-Temporal Grounding for Physics Reasoning and Comprehension in Vision-Language Models
Paper • 2511.18373 • Published • 5 -
Multi-Agent Deep Research: Training Multi-Agent Systems with M-GRPO
Paper • 2511.13288 • Published • 17 -
Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens
Paper • 2511.19418 • Published • 26 -
SAM 3: Segment Anything with Concepts
Paper • 2511.16719 • Published • 107
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MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 136 -
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Paper • 2510.14528 • Published • 104 -
MinerU: An Open-Source Solution for Precise Document Content Extraction
Paper • 2409.18839 • Published • 34
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TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 14 -
MinerU: An Open-Source Solution for Precise Document Content Extraction
Paper • 2409.18839 • Published • 34 -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 136 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 121
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PaddlePaddle/PaddleOCR-VL
Image-Text-to-Text • 1.0B • Updated • 21.9k • 1.39k -
nanonets/Nanonets-OCR2-3B
Image-Text-to-Text • 4B • Updated • 90k • 455 -
deepseek-ai/DeepSeek-OCR
Image-Text-to-Text • 3B • Updated • 5.45M • 2.94k -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 136
-
Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning
Paper • 2510.03259 • Published • 57 -
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
Paper • 2510.07242 • Published • 30 -
First Try Matters: Revisiting the Role of Reflection in Reasoning Models
Paper • 2510.08308 • Published • 24 -
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 75