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Collections including paper arxiv:2506.18254
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4 days ago
4 days ago-
Describe Anything: Detailed Localized Image and Video Captioning
Paper • 2504.16072 • Published • 61 -
EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment
Paper • 2410.09604 • Published -
Geospatial Mechanistic Interpretability of Large Language Models
Paper • 2505.03368 • Published • 9 -
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
Paper • 2505.02836 • Published • 7
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4 days ago
4 days ago-
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding
Paper • 2411.04952 • Published • 30 -
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Paper • 2411.05005 • Published • 13 -
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
Paper • 2411.04075 • Published • 17 -
Self-Consistency Preference Optimization
Paper • 2411.04109 • Published • 19
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4 days ago
4 days ago-
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
Paper • 2506.04207 • Published • 45 -
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Paper • 2504.11468 • Published • 29 -
RLPR: Extrapolating RLVR to General Domains without Verifiers
Paper • 2506.18254 • Published • 31
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3 days ago
3 days ago-
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 30 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 123 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 5
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3 days ago
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4 days ago
4 days ago-
Advancing Multimodal Reasoning: From Optimized Cold Start to Staged Reinforcement Learning
Paper • 2506.04207 • Published • 45 -
SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models
Paper • 2504.11468 • Published • 29 -
RLPR: Extrapolating RLVR to General Domains without Verifiers
Paper • 2506.18254 • Published • 31
Collection by
4 days ago
4 days ago-
Describe Anything: Detailed Localized Image and Video Captioning
Paper • 2504.16072 • Published • 61 -
EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment
Paper • 2410.09604 • Published -
Geospatial Mechanistic Interpretability of Large Language Models
Paper • 2505.03368 • Published • 9 -
Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
Paper • 2505.02836 • Published • 7
Collection by
3 days ago
3 days ago-
RL + Transformer = A General-Purpose Problem Solver
Paper • 2501.14176 • Published • 28 -
Towards General-Purpose Model-Free Reinforcement Learning
Paper • 2501.16142 • Published • 30 -
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
Paper • 2501.17161 • Published • 123 -
MaxInfoRL: Boosting exploration in reinforcement learning through information gain maximization
Paper • 2412.12098 • Published • 5
Collection by
4 days ago
4 days ago-
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding
Paper • 2411.04952 • Published • 30 -
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models
Paper • 2411.05005 • Published • 13 -
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models
Paper • 2411.04075 • Published • 17 -
Self-Consistency Preference Optimization
Paper • 2411.04109 • Published • 19