界面理解论文趋势 2023–2026
GUI 智能体
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 77 篇被归入该主题的论文。
主要结论
- 界面理解论文从 2023 年的 15 篇增长到 2026 年的 27 篇，三年间扩大到约 1.8 倍。
- NeurIPS 是发界面理解论文最多的会议，2023–2026 年共 23 篇，占四个会议总量的 30%。
- 交叉方向里涨得最快的是AI 智能体：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 9 篇。
- 在「教育与交互」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的用户建模是 2.9 倍，界面理解是 1.8 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 1 | 9 | 2 | 3 | 15 |
| 2024 | 0 | 1 | 11 | 4 | 16 |
| 2025 | 6 | 2 | 5 | 6 | 19 |
| 2026 | 16 | 2 | 2 | 7 | 27 |
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 2026Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering
- ICML 2026A Single Layer to Explain Them All: Understanding Massive Values in Large Language Models
- ICLR 2026Towards Understanding the Shape of Representations in Protein Language Models
- CVPR 2026RISE Single Static Radar-based Indoor Scene Understanding
- NeurIPS 2025The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
- ICML 2025On Understanding Attention-Based In-Context Learning for Categorical Data
- ICLR 2025Toward Understanding In-context vs. In-weight Learning
- CVPR 2025MP-GUI: Modality Perception with MLLMs for GUI Understanding
- ICML 2024CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
- ICLR 2024Understanding In-Context Learning from Repetitions
- CVPR 2024PanoContext-Former: Panoramic Total Scene Understanding with a Transformer
- NeurIPS 2023Understanding the detrimental class-level effects of data augmentation
- ICML 2023How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
- ICLR 2023First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
- CVPR 2023AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation
- NeurIPS 2026Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity
- ICML 2026Understanding the Parameter Space Geometry of Transformers Encoding Boolean Functions
- ICLR 2026Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
- CVPR 20264D-RGPT Toward Region-level 4D Understanding via Perceptual Distillation
- NeurIPS 2025Towards a Geometric Understanding of Tensor Learning via the t-Product
全部界面理解论文
共 9 篇，第 1 / 1 页
- ICLR 2023Deconstructing Distributions: A Pointwise Framework of Learning
- ICLR 2023Evolving Populations of Diverse RL Agents with MAP-Elites
- ICLR 2023First Steps Toward Understanding the Extrapolation of Nonlinear Models to Unseen Domains
- ICLR 2023ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations
- ICLR 2023Towards Understanding Why Mask Reconstruction Pretraining Helps in Downstream Tasks
- ICLR 2023Understanding Embodied Reference with Touch-Line Transformer
- ICLR 2023Understanding weight-magnitude hyperparameters in training binary networks
- ICLR 2023Understanding Why Generalized Reweighting Does Not Improve Over ERM
- ICLR 2023Your Contrastive Learning Is Secretly Doing Stochastic Neighbor Embedding
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 查界面理解在 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": "ui-understanding"}
常见问题
- 2023–2026 年四大会议一共有多少篇界面理解论文？
- 共 77 篇，按年份分别是 2023 年 15 篇、2024 年 16 篇、2025 年 19 篇、2026 年 27 篇。
- NeurIPS 2026 有多少篇界面理解论文？
- NeurIPS 2026 有 16 篇界面理解论文，上一届是 6 篇。
- ICLR 2026 有多少篇界面理解论文？
- ICLR 2026 有 2 篇界面理解论文，上一届是 2 篇。
- ICML 2026 有多少篇界面理解论文？
- ICML 2026 有 2 篇界面理解论文，上一届是 5 篇。
- CVPR 2026 有多少篇界面理解论文？
- CVPR 2026 有 7 篇界面理解论文，上一届是 6 篇。
- 哪个会议的界面理解论文最多？
- NeurIPS，2023–2026 年共 23 篇。