tran minh thang
thangtm
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Recent Activity
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reasoning_model
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DLM
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about 5 hours ago
reasoning_model
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OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
Paper • 2511.16334 • Published • 92 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 101 -
ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute
Paper • 2509.04475 • Published • 3 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 93
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Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
Paper • 2510.20150 • Published • 4 -
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
Paper • 2511.06221 • Published • 131 -
We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Paper • 2508.10433 • Published • 144 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 93
-
PaddlePaddle/PaddleOCR-VL
Image-Text-to-Text • 1.0B • Updated • 17.1k • 1.43k -
nanonets/Nanonets-OCR2-3B
Image-Text-to-Text • 4B • Updated • 100k • 468 -
deepseek-ai/DeepSeek-OCR
Image-Text-to-Text • 3B • Updated • 3.91M • 3.02k -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 139
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TiDAR: Think in Diffusion, Talk in Autoregression
Paper • 2511.08923 • Published • 117 -
Diffusion Language Models are Super Data Learners
Paper • 2511.03276 • Published • 128 -
What Makes Diffusion Language Models Super Data Learners?
Paper • 2510.04071 • Published -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper • 2512.15745 • Published • 77
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FuseAI/FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview
33B • Updated • 41 • 129 -
Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency
Paper • 2506.08343 • Published • 54 -
Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
Paper • 2509.26226 • Published • 33
-
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
Paper • 2511.16334 • Published • 92 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 101 -
ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute
Paper • 2509.04475 • Published • 3 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 93
-
TiDAR: Think in Diffusion, Talk in Autoregression
Paper • 2511.08923 • Published • 117 -
Diffusion Language Models are Super Data Learners
Paper • 2511.03276 • Published • 128 -
What Makes Diffusion Language Models Super Data Learners?
Paper • 2510.04071 • Published -
LLaDA2.0: Scaling Up Diffusion Language Models to 100B
Paper • 2512.15745 • Published • 77
-
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
Paper • 2510.20150 • Published • 4 -
Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
Paper • 2511.06221 • Published • 131 -
We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
Paper • 2508.10433 • Published • 144 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 93
-
FuseAI/FuseO1-DeepSeekR1-QwQ-SkyT1-32B-Preview
33B • Updated • 41 • 129 -
Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency
Paper • 2506.08343 • Published • 54 -
Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
Paper • 2509.26226 • Published • 33
-
PaddlePaddle/PaddleOCR-VL
Image-Text-to-Text • 1.0B • Updated • 17.1k • 1.43k -
nanonets/Nanonets-OCR2-3B
Image-Text-to-Text • 4B • Updated • 100k • 468 -
deepseek-ai/DeepSeek-OCR
Image-Text-to-Text • 3B • Updated • 3.91M • 3.02k -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 139