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In this episode, we discuss Welcome to the Era of Experience by David Silver, Richard S. Sutton. The paper discusses the forthcoming era of artificial intelligence marked by agents with superhuman capabilities. These agents will primarily learn through experience. The note highlights the essential features that will characterize this new phase in AI development.
Arxiv paper - Describe Anything: Detailed Localized Image and Video Captioning
Arxiv paper - MCNC: MANIFOLD-CONSTRAINED REPARAMETERIZATION FOR NEURAL COMPRESSION
Arxiv paper - Self-Improving Robust Preference Optimization
Arxiv paper - LLM Post-Training: A Deep Dive into Reasoning Large Language Models
Arxiv paper - MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation
Arxiv paper - InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models
Arxiv paper - EquiVDM: Equivariant Video Diffusion Models with Temporally Consistent Noise
Arxiv paper - TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
Arxiv paper - Reasoning Models Don’t Always Say What They Think
Arxiv paper - Slow-Fast Architecture for Video Multi-Modal Large Language Models
Arxiv paper - TextCrafter: Accurately Rendering Multiple Texts in Complex Visual Scenes
Arxiv paper - VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning
Arxiv paper - SynCity: Training-Free Generation of 3D Worlds
Arxiv paper - HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Arxiv paper - Video-T1: Test-Time Scaling for Video Generation
Arxiv paper - Calibrated Multi-Preference Optimization for Aligning Diffusion Models
Arxiv paper - Personalize Anything for Free with Diffusion Transformer
Arxiv paper - Story-Adapter: A Training-free Iterative Framework for Long Story Visualization
Arxiv paper - ReCamMaster: Camera-Controlled Generative Rendering from A Single Video
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