Papers

• ReCoSplat: Autoregressive Feed-Forward Gaussian Splatting Using Render-and-Compare

  Hong Kong University of Science and Technology, Shanghai Jiao Tong University, Swiss Federal Institute of Technology in Zurich, University of California, Merced

  Published on: 2026-03-10 6 authors
• MM-Zero: Self-Evolving Multi-Model Vision Language Models From Zero Data

  Brown University, University of Illinois Urbana-Champaign, University of Maryland, University of Southern California, Washington University in St. Louis

  Published on: 2026-03-10 11 authors
• Scalable Training of Mixture-of-Experts Models with Megatron Core

  Published on: 2026-03-08 45 authors
• Scalable Training of Mixture-of-Experts Models with Megatron Core

  Published on: 2026-03-08 1 author
• AI+HW 2035: Shaping the Next Decade

  University of Illinois Urbana-Champaign

  Published on: 2026-03-05 1 author
• FlashAttention-4: Algorithm and Kernel Pipelining Co-Design for Asymmetric Hardware Scaling

  Princeton University

  Published on: 2026-03-05 1 author
• Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline

  Nanjing University

  Published on: 2026-03-05 1 author
• RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots

  The University of Texas

  Published on: 2026-03-04 1 author
• ManipulationNet: An Infrastructure for Benchmarking Real-World Robot Manipulation with Physical Skill Challenges and Embodied Multimodal Reasoning

  Rice University

  Published on: 2026-03-04 1 author
• V1 : Unifying Generation and Self-Verification for Parallel Reasoners

  UC Berkeley

  Published on: 2026-03-04 1 author
• ROBOMETER: Scaling General-Purpose Robotic Reward Models via Trajectory Comparisons

  University of Southern California

  Published on: 2026-03-02 2 authors
• CuTe Layout Representation and Algebra

  Published on: 2026-03-02 1 author
• Mode Seeking meets Mean Seeking for Fast Long Video Generation

  Published on: 2026-02-27 1 author
• VGG-T3: Offline Feed-Forward 3D Reconstruction at Scale

  University of Toronto

  Published on: 2026-02-26 1 author
• Test-Time Training with KV Binding Is Secretly Linear Attention

  Published on: 2026-02-24 1 author
• Toward the Thermodynamic Limit: Neural Operators for Non-equilibrium Dynamics of Mott Insulators

  Published on: 2026-02-23 1 author
• El Agente Gráfico: Structured Execution Graphs for Scientific Agents

  University of Toronto

  Published on: 2026-02-19 1 author
• EgoScale: Scaling Dexterous Manipulation with Diverse Egocentric Human Data

  University of California

  Published on: 2026-02-18 1 author
• World Action Models are Zero-shot Policies

  Published on: 2026-02-17 1 author
• Isaac Lab: A GPU-Accelerated Simulation Framework for Multi-Modal Robot Learning

  1 author
• iGRPO: Self-Feedback–Driven LLM Reasonin

  Published on: 2026-02-09 1 author
• DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos

  Published on: 2026-02-06 1 author
• Learning to Discover at Test Time

  Stanford University, UC San Diego

  Published on: 2026-02-05 1 author
• Pretraining Large Language Models with NVFP4

  Published on: 2025-09-29 90 authors
• 3D-GENERALIST: Vision-Language-Action Models for Crafting 3D Worlds

  Stanford University

  Published on: 2025-08-19 1 author
• GR00T N1: An Open Foundation Model for Generalist Humanoid Robots

  Published on: 2025-05-27 1 author
• Describe Anything: Detailed Localized Image and Video Captioning

  UC Berkeley

  Published on: 2025-04-22 11 authors
• One-Minute Video Generation with Test-Time Training

  Stanford University

  Published on: 2025-04-07 1 author
• Data Scaling Laws for End-to-End Autonomous Driving

  New York University, Stanford University, University of Toronto

  Published on: 2025-04-06 10 authors
• Cosmos World Foundation Model Platform for Physical AI

  Published on: 2025-01-07 1 author
• NVLM: Open Frontier-Class Multimodal LLMs

  Published on: 2024-10-22 1 author
• Nemotron-4-340B-Instruct

  Published on: 2024-10-12 1 author
• ChipNeMo: Domain-Adapted LLMs for Chip Design

  Published on: 2024-04-04 1 author
• Eureka: Human-Level Reward Design via Coding Large Language Models

  Published on: 2023-10-19
• SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

  Published on: 2023-10-09 1 author
• Neuralangelo: High-Fidelity Neural Surface Reconstruction

  Johns Hopkins University

  Published on: 2023-06-05 1 author
• Voyager: An Open-Ended Embodied Agent with Large Language Models

  Caltech, Stanford University

  Published on: 2023-05-25 4 authors
• Reflexion: Language Agents with Verbal Reinforcement Learning

  Stanford University

  Published on: 2023-03-20 8 authors
• FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

  University of Michigan

  Published on: 2022-02-22 1 author
• Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

  Published on: 2022-01-16 1 author