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One-RL-to-See-Them-All/Orsta-7B
Image-Text-to-Text • Updated • 483 • 7 -
One-RL-to-See-Them-All/Orsta-32B-0321
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One-RL-to-See-Them-All/Orsta-32B-0326
Image-Text-to-Text • Updated • 112 • 4 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 59
Collections
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Collections including paper arxiv:2505.18129
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One-RL-to-See-Them-All/Orsta-7B
Image-Text-to-Text • Updated • 483 • 7 -
One-RL-to-See-Them-All/Orsta-32B-0321
Image-Text-to-Text • Updated • 12 -
One-RL-to-See-Them-All/Orsta-32B-0326
Image-Text-to-Text • Updated • 112 • 4 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 59
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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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One-RL-to-See-Them-All/Orsta-7B
Image-Text-to-Text • Updated • 483 • 7 -
One-RL-to-See-Them-All/Orsta-32B-0321
Image-Text-to-Text • Updated • 12 -
One-RL-to-See-Them-All/Orsta-32B-0326
Image-Text-to-Text • Updated • 112 • 4 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 59
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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
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Unified Multimodal Understanding and Generation Models: Advances, Challenges, and Opportunities
Paper • 2505.02567 • Published • 74 -
TabSTAR: A Foundation Tabular Model With Semantically Target-Aware Representations
Paper • 2505.18125 • Published • 110 -
Distilling LLM Agent into Small Models with Retrieval and Code Tools
Paper • 2505.17612 • Published • 75 -
One RL to See Them All: Visual Triple Unified Reinforcement Learning
Paper • 2505.18129 • Published • 59
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CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
Paper • 2504.13161 • Published • 92 -
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
Paper • 2402.11984 • Published -
BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling
Paper • 2503.06121 • Published • 5 -
Timer: Transformers for Time Series Analysis at Scale
Paper • 2402.02368 • Published
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CoRAG: Collaborative Retrieval-Augmented Generation
Paper • 2504.01883 • Published • 10 -
VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning
Paper • 2504.08837 • Published • 43 -
Mavors: Multi-granularity Video Representation for Multimodal Large Language Model
Paper • 2504.10068 • Published • 30 -
xVerify: Efficient Answer Verifier for Reasoning Model Evaluations
Paper • 2504.10481 • Published • 84
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DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Paper • 2503.14476 • Published • 128 -
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
Paper • 2504.05118 • Published • 25 -
SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
Paper • 2504.08600 • Published • 29 -
A Minimalist Approach to LLM Reasoning: from Rejection Sampling to Reinforce
Paper • 2504.11343 • Published • 17