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 51 篇,第 1 / 2 页
- NeurIPS 2026AMPS: Adaptive Modality Preference Steering via Functional Entropy
- NeurIPS 2026APM: Evaluating Style Personalization in LLMs with Arbitrary Preference Mappings
- NeurIPS 2026Atomic Trajectory Modeling with State Space Models for Biomolecular Dynamics
- NeurIPS 2026BehaviorBench: Modeling Real-World User Decisions from Behavioral Traces
- NeurIPS 2026Borda-Based Fair Multi-User Dueling Bandit in Tabular and Generalized Linear Settings
- NeurIPS 2026Bridging Textual Profiles and Latent User Embeddings for Personalization
- NeurIPS 2026Causally Structured Differential Network Modeling for Single-Cell Perturbation Prediction
- NeurIPS 2026Class-Domain Incremental Learning with Extensible Multi-Center Modeling
- NeurIPS 2026Compute Allocation Under Model-Provider Competition
- NeurIPS 2026Controllable User Simulation
- NeurIPS 2026DeFlow: Decoupling Behavior-Prior Modeling and Value Maximization for Offline Policy Extraction
- NeurIPS 2026Discrete Neural Interlingua for Ontology-Agnostic EHR Modeling
- NeurIPS 2026Drift-Aware Multimodal User Representation Learning via Multi-Scale Temporal Modeling and Sparse Mixture-of-Experts
- NeurIPS 2026Dynamic Context Modeling for Longitudinal Mental Health Monitoring under Distribution Shift
- NeurIPS 2026Express Language Modeling
- NeurIPS 2026Focusable Monocular Depth Estimation
- NeurIPS 2026Geometrically Disentangling Concept Learning from the Language Modeling Loss
- NeurIPS 2026How Does Personalized Memory Shape LLM Behavior? Benchmarking Rational Preference Utilization in Personalized Assistants
- NeurIPS 2026How to Interpret Agent Behavior
- NeurIPS 2026JARVIS-Bench: Benchmarking Personal Intelligence Agents on Long-Horizon Real-User Daily Traces
- NeurIPS 2026Leaderboard Hacking: Preference-Based Model Evaluations are Vulnerable to Manipulation
- NeurIPS 2026Learning Reusable Motor Motifs for Continuous Animal Behavior Modeling
- NeurIPS 2026Learning What Evaluators Value: A Reliable Approach to Modeling Evaluator Preferences
- NeurIPS 2026Leveraging Psychophysical Attentional Distribution for Gaze-Augmented Reward Modeling
- NeurIPS 2026LIME: Link-based User-item Interaction Modeling with Decoupled XOR Attention for Efficient Test Time Scaling
- NeurIPS 2026Loss is Not Behavior: A Unified Output-Space Analysis of Gradient-Based Machine Unlearning
- NeurIPS 2026Measuring and Mitigating the Distributional Gap Between Real and Simulated User Behaviors
- NeurIPS 2026MiniPIC: Flexible Position-Independent Caching in <100LOC
- NeurIPS 2026Model Incrimination: Investigating Whether Concerning Behavior Reflects Misalignment
- NeurIPS 2026Modeling Whole-Slide Images as Dynamic Tumor Microenvironment Fields
- NeurIPS 2026Neural-Behavioral Representation of Natural Whole-body Movement in Monkeys
- NeurIPS 2026OmniSimulator: Aligning Small Language Models for Authentic Heterogeneous Behavior Modeling
- NeurIPS 2026On the Complexity of Preference-Based Bandits
- NeurIPS 2026On the Runway Cascade of Transformers for Language Modeling
- NeurIPS 2026PreDiff: Sequential Recommendation by Denoising Preference Distributions
- NeurIPS 2026Preferential dynamic modeling with forward-backward smoothing
- NeurIPS 2026PriSM: Prior-guided Shared-basis Mixture Personalization for LLMs under Sparse User Histories
- NeurIPS 2026PRISMIC: Reconstructing User Preference via Intent Decomposition and Consolidation
- NeurIPS 2026PrivacySIM: Evaluating LLM Simulation of User Privacy Behavior
- NeurIPS 2026ProactBench: Beyond What The User Asked For
- NeurIPS 2026Raven: High-Recall Sequence Modeling via Sparse Memory Routing
- NeurIPS 2026Recon: Reconstruction-Guided Reasoning Synthesis for User Modeling
- NeurIPS 2026Recovering Evolving User Preference State via Adaptive Interaction-aware Representation Correction
- NeurIPS 2026Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
- NeurIPS 2026Seahorse: A Unified Benchmarking Framework for Spatiotemporal Event Modeling
- NeurIPS 2026TimeOperator: A Function-to-Function Approach to Time Series Modeling
- NeurIPS 2026Towards Realistic Conversational Multimodal Instruction Following
- NeurIPS 2026TReDS: Trajectory-Grounded Requirement-Capability Modeling for Training Distribution Shaping in Tool-Interactive Tasks
- NeurIPS 2026UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence
- NeurIPS 2026VINCIE-NExT: Unlocking Video Editing from Images via In-Context Modeling
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。