VepAgent: Bridging Causal-Transition via Tool-Augmented Reinforcement Learning for Video Event Prediction
cs.CV
Submitted: 2026-10-05
Updated: 2026-10-05
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Qwen3-VL Technical Report
- Qwen2.5-VL Technical Report
- RefineX: Learning to Refine Pre-training Data at Scale from Expert-Guided Programs
- Reward and Guidance through Rubrics: Promoting Exploration to Improve Multi-Domain Reasoning
- PromptCD: Test-Time Behavior Enhancement via Polarity-Prompt Contrastive Decoding
- PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection
- Layout2Scene: 3D Semantic Layout Guided Scene Generation via Geometry and Appearance Diffusion Priors
- Exploring the Effect of Reinforcement Learning on Video Understanding: Insights from SEED-Bench-R1
- Pelican-VLA 0.5: Attending Before Acting Benefits Generalization
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- OpenAI o1 System Card
- Imagine while Reasoning in Space: Multimodal Visualization-of-Thought
- GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision
- STDR: Spatio-Temporal Decoupling for Real-Time Dynamic Scene Rendering
- FactGuard: Agentic Video Misinformation Detection via Reinforcement Learning
- Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement
- AutoDesign: Meta-Harness Optimization for Long-Horizon Agentic Design
- LATTE: Learning to Think with Vision Specialists
- Navigating Tomorrow: Reliably Assessing Large Language Models Performance on Future Event Prediction
- LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
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