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 42 篇,第 1 / 1 页
- NeurIPS 2025Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling
- NeurIPS 2025Architectural and Inferential Inductive Biases for Exchangeable Sequence Modeling
- NeurIPS 2025Beyond Node-Centric Modeling: Sketching Signed Networks with Simplicial Complexes
- NeurIPS 2025Counterfactual Implicit Feedback Modeling
- NeurIPS 2025Cross-Modal Representational Knowledge Distillation for Enhanced Spike-informed LFP Modeling
- NeurIPS 2025EyeBench: Predictive Modeling from Eye Movements in Reading
- NeurIPS 2025Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
- NeurIPS 2025Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
- NeurIPS 2025From Bytes to Ideas: Language Modeling with Autoregressive U-Nets
- NeurIPS 2025Generalized Top-k Mallows Model for Ranked Choices
- NeurIPS 2025Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder
- NeurIPS 2025In-Context Learning Strategies Emerge Rationally
- NeurIPS 2025Inference-Time Personalized Alignment with a Few User Preference Queries
- NeurIPS 2025Learning CAD Modeling Sequences via Projection and Part Awareness
- NeurIPS 2025Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis
- NeurIPS 2025Listwise Preference Diffusion Optimization for User Behavior Trajectories Prediction
- NeurIPS 2025LiteReality: Graphic-Ready 3D Scene Reconstruction from RGB-D Scans
- NeurIPS 2025Local-Global Associative Frames for Symmetry-Preserving Crystal Structure Modeling
- NeurIPS 2025Model–Behavior Alignment under Flexible Evaluation: When the Best-Fitting Model Isn’t the Right One
- NeurIPS 2025Modeling Cell Dynamics and Interactions with Unbalanced Mean Field Schrödinger Bridge
- NeurIPS 2025Modeling Dynamic Neural Activity by combining Naturalistic Video Stimuli and Stimulus-independent Latent Factors
- NeurIPS 2025MTRec: Learning to Align with User Preferences via Mental Reward Models
- NeurIPS 2025PANTHER: Generative Pretraining Beyond Language for Sequential User Behavior Modeling
- NeurIPS 2025PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling
- NeurIPS 2025Preference Learning with Lie Detectors can Induce Honesty or Evasion
- NeurIPS 2025Principled Fine-tuning of LLMs from User-Edits: A Medley of Preference, Supervision, and Reward
- NeurIPS 2025Provably Efficient Online RLHF with One-Pass Reward Modeling
- NeurIPS 2025RAT: Bridging RNN Efficiency and Attention Accuracy via Chunk-based Sequence Modeling
- NeurIPS 2025Reaction Prediction via Interaction Modeling of Symmetric Difference Shingle Sets
- NeurIPS 2025Red-Teaming Text-to-Image Systems by Rule-based Preference Modeling
- NeurIPS 2025ResponseRank: Data-Efficient Reward Modeling through Preference Strength Learning
- NeurIPS 2025Revisiting Bi-Linear State Transitions in Recurrent Neural Networks
- NeurIPS 2025SAS: Simulated Attention Score
- NeurIPS 2025ShapeCraft: LLM Agents for Structured, Textured and Interactive 3D Modeling
- NeurIPS 2025SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
- NeurIPS 2025STaRFormer: Semi-Supervised Task-Informed Representation Learning via Dynamic Attention-Based Regional Masking for Sequential Data
- NeurIPS 2025Streaming Stochastic Submodular Maximization with On-Demand User Requests
- NeurIPS 2025Teaching Language Models to Evolve with Users: Dynamic Profile Modeling for Personalized Alignment
- NeurIPS 2025Tractable Multinomial Logit Contextual Bandits with Non-Linear Utilities
- NeurIPS 2025User-Instructed Disparity-aware Defocus Control
- NeurIPS 2025Value-Guided Decision Transformer: A Unified Reinforcement Learning Framework for Online and Offline Settings
- NeurIPS 2025Why Popular MOEAs are Popular: Proven Advantages in Approximating the Pareto Front
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。