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 32 篇,第 1 / 1 页
- ICML 2026A Regret Minimization Framework on Preference Learning in Large Language Models
- ICML 2026Approximating Drift-Diffusion Models for User Decisions under Nudging and External Information
- ICML 2026Asymmetric Multi-View Clustering with Hyperbolic Uncertainty Modeling
- ICML 2026Beyond Single Embedding: Modeling User Preferences as Distribution in Federated Recommendation
- ICML 2026CAMEL: Confidence-Gated Reflection for Reward Modeling
- ICML 2026Can LLM Agents Stick to the Script? Modeling Commitment in Interactive Narratives
- ICML 2026Characterizing the Predictive Impact of Modalities with Supervised Latent-Variable Modeling
- ICML 2026Cross-Subject Modeling for Widefield Calcium Imaging via Atlas-Aligned Spatiotemporal Tokenization
- ICML 2026Eating for a Sustainable Planet: Personalized Sustainable Diet Recommendation via Constraint-Aware Decision-Making Modeling
- ICML 2026Federated Variational Preference Alignment with Gumbel-Softmax Prior for Personalized User Preferences
- ICML 2026HyperMLP: An Integrated Perspective for Sequence Modeling
- ICML 2026Machine Learning Hamiltonians are Accurate Energy-Force Predictors
- ICML 2026MASH: Modeling Abstention via Selective Help-Seeking
- ICML 2026MTNL: A Unified Modeling Perspective for Enhancing Tensor Network Learning
- ICML 2026On the Sample Efficiency of Inverse Dynamics Models for Semi-Supervised Imitation Learning
- ICML 2026Personalized Additive Modeling for Multi-level Federated Learning
- ICML 2026Phase-Type Variational Autoencoders for Heavy-Tailed Data
- ICML 2026Query Circuits: Explaining How Language Models Answer User Prompts
- ICML 2026Rethinking Personalization in Large Language Models at the Token Level
- ICML 2026Stochastic Neural Ray Tracing for Radio Frequency Channel Modeling
- ICML 2026Strategy-Aware Optimization Modeling with Reasoning LLMs
- ICML 2026The Sign Estimator: Preference Modeling for LLM Alignment under Heterogeneity
- ICML 2026Thoughtbubbles: an Unsupervised Method for Parallel Thinking in Latent Space
- ICML 2026TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior
- ICML 2026TOM-SWE: User Mental Modeling For Software Engineering Agents
- ICML 2026Transitivity Meets Cyclicity: Explicit Preference Decomposition for Dynamic Large Language Model Alignment
- ICML 2026Understanding the Performance Gap in Preference Learning: A Dichotomy of RLHF and DPO
- ICML 2026Unraveling Syntax: Language Modeling and the Substructure of Grammars
- ICML 2026User-Aware Active Knowledge Acquisition for Emotional Support Dialogue
- ICML 2026VenusBench-Mobile: A Challenging and User-Centric Benchmark for Mobile GUI Agents with Capability Diagnostics
- ICML 2026What Does Preference Learning Recover from Pairwise Comparison Data?
- ICML 2026When Does Predictive Inverse Dynamics Outperform Behavior Cloning?
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。