用户建模论文趋势 2023–2026

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。

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 86 篇，第 2 / 2 页

51. ICML 2025Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
52. ICML 2025Universal Approximation of Mean-Field Models via Transformers
53. ICML 2024A Persuasive Approach to Combating Misinformation
54. ICML 2024An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation
55. ICML 2024Better Locally Private Sparse Estimation Given Multiple Samples Per User
56. ICML 2024Coactive Learning for Large Language Models using Implicit User Feedback
57. ICML 2024Decomposing and Editing Predictions by Modeling Model Computation
58. ICML 2024ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling
59. ICML 2024FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames
60. ICML 2024Fewer Truncations Improve Language Modeling
61. ICML 2024GenCO: Generating Diverse Designs with Combinatorial Constraints
62. ICML 2024Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
63. ICML 2024Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
64. ICML 2024Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level Privacy
65. ICML 2024Learning to Play Atari in a World of Tokens
66. ICML 2024Modeling Language Tokens as Functionals of Semantic Fields
67. ICML 2024PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling
68. ICML 2024Partial Multi-View Multi-Label Classification via Semantic Invariance Learning and Prototype Modeling
69. ICML 2024Probabilistic Modeling of Interpersonal Coordination Processes
70. ICML 2024RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences
71. ICML 2024STEER: Assessing the Economic Rationality of Large Language Models
72. ICML 2024VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
73. ICML 2023Algorithms for bounding contribution for histogram estimation under user-level privacy
74. ICML 2023dugMatting: Decomposed-Uncertainty-Guided Matting
75. ICML 2023Federated Linear Contextual Bandits with User-level Differential Privacy
76. ICML 2023Improved Analysis of Score-based Generative Modeling: User-Friendly Bounds under Minimal Smoothness Assumptions
77. ICML 2023Learning to Suggest Breaks: Sustainable Optimization of Long-Term User Engagement
78. ICML 2023Modeling Dynamic Environments with Scene Graph Memory
79. ICML 2023On Excess Mass Behavior in Gaussian Mixture Models with Orlicz-Wasserstein Distances
80. ICML 2023On User-Level Private Convex Optimization
81. ICML 2023R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
82. ICML 2023Reinforcement Learning with History Dependent Dynamic Contexts
83. ICML 2023Robust Satisficing MDPs
84. ICML 2023Strategic Classification with Unknown User Manipulations
85. ICML 2023TRAK: Attributing Model Behavior at Scale
86. ICML 2023User-level Private Stochastic Convex Optimization with Optimal Rates

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。