用户建模论文趋势 2023–2026
偏好与行为建模
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 335 篇被归入该主题的论文。
主要结论
- 用户建模论文从 2023 年的 49 篇增长到 2026 年的 142 篇，三年间扩大到约 2.9 倍。
- NeurIPS 是发用户建模论文最多的会议，2023–2026 年共 121 篇，占四个会议总量的 36%。
- 交叉方向里涨得最快的是对齐与安全：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 26 篇。
- 在「教育与交互」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的界面理解是 1.8 倍，用户建模是 2.9 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 10 | 16 | 14 | 9 | 49 |
| 2024 | 18 | 12 | 20 | 4 | 54 |
| 2025 | 42 | 17 | 20 | 11 | 90 |
| 2026 | 51 | 40 | 32 | 19 | 142 |
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 2026BehaviorBench: Modeling Real-World User Decisions from Behavioral Traces
- ICML 2026Eating for a Sustainable Planet: Personalized Sustainable Diet Recommendation via Constraint-Aware Decision-Making Modeling
- ICLR 2026A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
- CVPR 2026D-Prism Differentiable Primitives for Structured Dynamic Modeling
- NeurIPS 2025Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes
- ICML 2025How Transformers Learn Structured Data: Insights From Hierarchical Filtering
- ICLR 2025Logic-Logit: A Logic-Based Approach to Choice Modeling
- CVPR 2025Bridging Gait Recognition and Large Language Models Sequence Modeling
- NeurIPS 20244DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
- ICML 2024An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation
- ICLR 2024Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
- CVPR 2024Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining
- NeurIPS 2023FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
- ICML 2023dugMatting: Decomposed-Uncertainty-Guided Matting
- ICLR 2023Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps
- CVPR 2023BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling
- NeurIPS 2026Causally Structured Differential Network Modeling for Single-Cell Perturbation Prediction
- ICML 2026HyperMLP: An Integrated Perspective for Sequence Modeling
- ICLR 2026Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models
- CVPR 2026Learning Personalized Photographic Style from Pairwise User Preferences
全部用户建模论文
共 18 篇，第 1 / 1 页
- NeurIPS 20244DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs
- NeurIPS 2024Aligning LLM Agents by Learning Latent Preference from User Edits
- NeurIPS 2024Belief-State Query Policies for User-Aligned POMDPs
- NeurIPS 2024Deep Bayesian Active Learning for Preference Modeling in Large Language Models
- NeurIPS 2024Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval
- NeurIPS 2024Explaining Datasets in Words: Statistical Models with Natural Language Parameters
- NeurIPS 2024Improving Context-Aware Preference Modeling for Language Models
- NeurIPS 2024Interpolating Item and User Fairness in Multi-Sided Recommendations
- NeurIPS 2024Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
- NeurIPS 2024PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models
- NeurIPS 2024Preference Learning of Latent Decision Utilities with a Human-like Model of Preferential Choice
- NeurIPS 2024Queueing Matching Bandits with Preference Feedback
- NeurIPS 2024Text to Blind Motion
- NeurIPS 2024TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series
- NeurIPS 2024User-Creator Feature Polarization in Recommender Systems with Dual Influence
- NeurIPS 2024User-item fairness tradeoffs in recommendations
- NeurIPS 2024Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary
- NeurIPS 2024Who's asking? User personas and the mechanics of latent misalignment
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 查用户建模在 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": "user-modeling"}
常见问题
- 2023–2026 年四大会议一共有多少篇用户建模论文？
- 共 335 篇，按年份分别是 2023 年 49 篇、2024 年 54 篇、2025 年 90 篇、2026 年 142 篇。
- NeurIPS 2026 有多少篇用户建模论文？
- NeurIPS 2026 有 51 篇用户建模论文，上一届是 42 篇。
- ICLR 2026 有多少篇用户建模论文？
- ICLR 2026 有 40 篇用户建模论文，上一届是 17 篇。
- ICML 2026 有多少篇用户建模论文？
- ICML 2026 有 32 篇用户建模论文，上一届是 20 篇。
- CVPR 2026 有多少篇用户建模论文？
- CVPR 2026 有 19 篇用户建模论文，上一届是 11 篇。
- 哪个会议的用户建模论文最多？
- NeurIPS，2023–2026 年共 121 篇。