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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 - MetaMorph: Multimodal Understanding and Generation via Instruction Tuning
Arxiv paper - Improving Video Generation with Human Feedback
Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling
Arxiv paper - DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Arxiv paper - Can We Generate Images with CoT? Let’s Verify and Reinforce Image Generation Step by Step
Arxiv paper - Improving Factuality with Explicit Working Memory
Arxiv paper - Diffusion as Shader: 3D-aware Video Diffusion for Versatile Video Generation Control
Arxiv paper - FaceLift: Single Image to 3D Head with View Generation and GS-LRM
Arxiv paper - GenHMR: Generative Human Mesh Recovery
Arxiv paper - Video Creation by Demonstration
Arxiv paper - Byte Latent Transformer: Patches Scale Better Than Tokens
Arxiv paper - Align3R: Aligned Monocular Depth Estimation for Dynamic Videos
Arxiv paper - FreeScale: Unleashing the Resolution of Diffusion Models via Tuning-Free Scale Fusion
Arxiv paper - ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis
Arxiv paper - o1-Coder: an o1 Replication for Coding
Arxiv paper - DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
ICLR 2025 submission - CYCLE-CONSISTENT LEARNING FOR JOINT LAYOUT-TO-IMAGE GENERATION AND OBJECT DETECTION
Arxiv Paper - WonderWorld: Interactive 3D Scene Generation from a Single Image
Arxiv Paper - Hymba: A Hybrid-head Architecture for Small Language Models
Arxiv Paper - Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation
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