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 23 篇，第 1 / 1 页
- NeurIPS 2026Agentic Abstention: Do Agents Know When to Stop Instead of Act?
- NeurIPS 2026AgentSSL: Can MLE Agents Leverage Unlabeled Data?
- NeurIPS 2026AIRA 2: Overcoming Bottlenecks in AI Research Agents
- NeurIPS 2026Denoise First, Orthogonalize Later: Understanding Momentum in Muon via Spectral Filtering
- NeurIPS 2026DiagEval: Trajectory-Conditioned Diagnosis for Reliable Software Evaluation with GUI Agents
- NeurIPS 2026ECHO: Terminal Agents Learn World Models for Free
- NeurIPS 2026How to Train a Surgeon? Benchmarking Generalist Agents in Surgical Scene Understanding
- NeurIPS 2026Reinforcement Learning Agents Are Swimmers
- NeurIPS 2026Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity
- NeurIPS 2026SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution
- NeurIPS 2026SWE-Marathon: Can AI Agents Autonomously Complete Ultra-Long-Horizon Software Work?
- NeurIPS 2026Understanding Circulant Permutation to Extend the CMinHash Estimator
- NeurIPS 2026Understanding Layer Patching in Model Size Interpolation
- NeurIPS 2026Understanding Sample Efficiency in Predictive Coding
- NeurIPS 2026Understanding the Co-evolutionary Solution Exchange of the MOEA/D: Minimal Communication Gives Maximal Speed-Ups
- NeurIPS 2026Understanding the Curse of Unrolling
- NeurIPS 2025The Graphon Limit Hypothesis: Understanding Neural Network Pruning via Infinite Width Analysis
- NeurIPS 2025Towards a Geometric Understanding of Tensor Learning via the t-Product
- NeurIPS 2025Towards Understanding Transformers in Learning Random Walks
- NeurIPS 2025Understanding Adam Requires Better Rotation Dependent Assumptions
- NeurIPS 2025Understanding Bias Terms in Neural Representations
- NeurIPS 2025Understanding the Evolution of the Neural Tangent Kernel at the Edge of Stability
- NeurIPS 2023Understanding the detrimental class-level effects of data augmentation
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。