世界模型论文趋势 2023–2026
学习环境动力学、交互式视频世界、latent 动力学与可规划的世界表征
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 425 篇被归入该主题的论文。
主要结论
- 世界模型论文从 2023 年的 23 篇增长到 2026 年的 250 篇,三年间扩大到约 11 倍。
- NeurIPS 是发世界模型论文最多的会议,2023–2026 年共 159 篇,占四个会议总量的 37%。
- 交叉方向里涨得最快的是多模态大模型:同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 34 篇。
- 在「前沿系统」的 4 个主题里,它的 2026 年论文数排第 4;同组增长最快的AI 智能体是 12 倍,世界模型是 11 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 13 | 7 | 3 | 0 | 23 |
| 2024 | 19 | 11 | 12 | 4 | 46 |
| 2025 | 42 | 24 | 27 | 13 | 106 |
| 2026 | 85 | 56 | 69 | 40 | 250 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026A Hierarchical World Model for Driving
- ICML 2026A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments
- ICLR 2026Astra: General Interactive World Model with Autoregressive Denoising
- CVPR 2026Active Intelligence in Video Avatars via Closed-loop World Modeling
- NeurIPS 2025COME: Adding Scene-Centric Forecasting Control to Occupancy World Model
- ICML 2025A Causal World Model Underlying Next Token Prediction: Exploring GPT in a Controlled Environment
- ICLR 2025AdaWM: Adaptive World Model based Planning for Autonomous Driving
- CVPR 2025DIO: Decomposable Implicit 4D Occupancy-Flow World Model
- NeurIPS 2024A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
- ICML 20243D-VLA: A 3D Vision-Language-Action Generative World Model
- ICLR 2024Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
- CVPR 2024DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
- NeurIPS 2023Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models
- ICML 2023Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling
- ICLR 2023Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
- NeurIPS 2026A World Model of Radiologist Reading for Medical Image Representation Learning
- ICML 2026Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning
- ICLR 2026Building spatial world models from sparse transitional episodic memories
- CVPR 2026Chain of World World Model Thinking in Latent Motion
- NeurIPS 2025DMWM: Dual-Mind World Model with Long-Term Imagination
全部世界模型论文
共 46 篇,第 1 / 1 页
- CVPR 2024DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
- CVPR 2024Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving
- CVPR 2024ReCoRe: Regularized Contrastive Representation Learning of World Model
- CVPR 2024UnO: Unsupervised Occupancy Fields for Perception and Forecasting
- ICLR 2024Copilot4D: Learning Unsupervised World Models for Autonomous Driving via Discrete Diffusion
- ICLR 2024Grounding Multimodal Large Language Models to the World
- ICLR 2024Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
- ICLR 2024Locality Sensitive Sparse Encoding for Learning World Models Online
- ICLR 2024MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning
- ICLR 2024Mastering Memory Tasks with World Models
- ICLR 2024Neurosymbolic Grounding for Compositional World Models
- ICLR 2024Reward-Free Curricula for Training Robust World Models
- ICLR 2024Robust agents learn causal world models
- ICLR 2024SafeDreamer: Safe Reinforcement Learning with World Models
- ICLR 2024TD-MPC2: Scalable, Robust World Models for Continuous Control
- ICML 20243D-VLA: A 3D Vision-Language-Action Generative World Model
- ICML 2024AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors
- ICML 2024Do Transformer World Models Give Better Policy Gradients?
- ICML 2024Efficient World Models with Context-Aware Tokenization
- ICML 2024Genie: Generative Interactive Environments
- ICML 2024HarmonyDream: Task Harmonization Inside World Models
- ICML 2024Hieros: Hierarchical Imagination on Structured State Space Sequence World Models
- ICML 2024Improving Token-Based World Models with Parallel Observation Prediction
- ICML 2024Learning Latent Dynamic Robust Representations for World Models
- ICML 2024Learning to Model the World With Language
- ICML 2024Learning to Play Atari in a World of Tokens
- ICML 2024RoboDreamer: Learning Compositional World Models for Robot Imagination
- NeurIPS 2024A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data
- NeurIPS 2024Diffusion for World Modeling: Visual Details Matter in Atari
- NeurIPS 2024DrivingDojo Dataset: Advancing Interactive and Knowledge-Enriched Driving World Model
- NeurIPS 2024Evaluating the World Model Implicit in a Generative Model
- NeurIPS 2024Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search
- NeurIPS 2024GenRL: Multimodal-foundation world models for generalization in embodied agents
- NeurIPS 2024Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
- NeurIPS 2024In-Context Symmetries: Self-Supervised Learning through Contextual World Models
- NeurIPS 2024iVideoGPT: Interactive VideoGPTs are Scalable World Models
- NeurIPS 2024Learning World Models for Unconstrained Goal Navigation
- NeurIPS 2024Leveraging Separated World Model for Exploration in Visually Distracted Environments
- NeurIPS 2024Making Offline RL Online: Collaborative World Models for Offline Visual Reinforcement Learning
- NeurIPS 2024Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model Disentanglement
- NeurIPS 2024Operator World Models for Reinforcement Learning
- NeurIPS 2024PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation
- NeurIPS 2024Policy-shaped prediction: avoiding distractions in model-based reinforcement learning
- NeurIPS 2024Simplifying Latent Dynamics with Softly State-Invariant World Models
- NeurIPS 2024Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
- NeurIPS 2024WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查世界模型在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "world-models"}
常见问题
- 2023–2026 年四大会议一共有多少篇世界模型论文?
- 共 425 篇,按年份分别是 2023 年 23 篇、2024 年 46 篇、2025 年 106 篇、2026 年 250 篇。
- NeurIPS 2026 有多少篇世界模型论文?
- NeurIPS 2026 有 85 篇世界模型论文,上一届是 42 篇。
- ICLR 2026 有多少篇世界模型论文?
- ICLR 2026 有 56 篇世界模型论文,上一届是 24 篇。
- ICML 2026 有多少篇世界模型论文?
- ICML 2026 有 69 篇世界模型论文,上一届是 27 篇。
- CVPR 2026 有多少篇世界模型论文?
- CVPR 2026 有 40 篇世界模型论文,上一届是 13 篇。
- 哪个会议的世界模型论文最多?
- NeurIPS,2023–2026 年共 159 篇。