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 85 篇,第 1 / 2 页
- ICLR 2026A Scalable Inter-edge Correlation Modeling in CopulaGNN for Link Sign Prediction
- ICLR 2026Ads that Stick: Near-Optimal Ad Optimization through Psychological Behavior Models
- ICLR 2026Behavior Learning (BL)
- ICLR 2026Beyond Binary Preferences: A Principled Framework for Reward Modeling with Ordinal Feedback
- ICLR 2026Beyond Markovian Drifts: Action-Biased Geometric Walks with Memory for Personalized Summarization
- ICLR 2026Beyond Pairwise: Empowering LLM Alignment With (Ranked) Choice Modeling
- ICLR 2026Causally Robust Preference Learning with Reasons
- ICLR 2026Chessformer: A Unified Architecture for Chess Modeling
- ICLR 2026ChronoPlay: A Framework for Modeling Dual Dynamics and Authenticity in Game RAG Benchmarks
- ICLR 2026Disentangling Length Bias in Preference Learning via Response-Conditioned Modeling
- ICLR 2026DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning
- ICLR 2026DynaGuard: A Dynamic Guardian Model With User-Defined Policies
- ICLR 2026Flipping the Dialogue: Training and Evaluating User Language Models
- ICLR 2026From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database Agents
- ICLR 2026iFusion: Integrating Dynamic Interest Streams via Diffusion Model for Click-Through Rate Prediction
- ICLR 2026Lean Finder: Semantic Search for Mathlib That Understands User Intents
- ICLR 2026Learned Meta-Tokens for Language Modeling
- ICLR 2026Learning Human Habits with Rule-Guided Active Inference
- ICLR 2026Learning to summarize user information for personalized reinforcement learning from human feedback
- ICLR 2026Learning What Matters Now: Dynamic Preference Inference under Contextual Shifts
- ICLR 2026Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
- ICLR 2026MENLO: From Preferences to Proficiency – Evaluating and Modeling Native-like Quality Across 47 Languages
- ICLR 2026MIMIC-Bench: Exploring the User-Like Thinking and Mimicking Capabilities of Multimodal Large Language Models
- ICLR 2026Model-Guided Microstimulation Steers Primate Visual Behavior
- ICLR 2026More Than What Was Chosen: LLM-based Explainable Recommendation Beyond Noisy User Preferences
- ICLR 2026NextQuill: Causal Preference Modeling for Enhancing LLM Personalization
- ICLR 2026Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
- ICLR 2026PGRF-Net: A Prototype-Guided Relational Fusion Network for Diagnostic Multivariate Time-Series Anomaly Detection
- ICLR 2026Plan-R1: Safe and Feasible Trajectory Planning as Language Modeling
- ICLR 2026ProPerSim: Developing Proactive and Personalized AI Assistants through User-Assistant Simulation
- ICLR 2026REAL: Reading Out Transformer Activations for Precise Localization in Language Model Steering
- ICLR 2026Robust Preference Alignment via Directional Neighborhood Consensus
- ICLR 2026Routing, Cascades, and User Choice for LLMs
- ICLR 2026Steerable Adversarial Scenario Generation through Test-Time Preference Alignment
- ICLR 2026Swap-guided Preference Learning for Personalized Reinforcement Learning from Human Feedback
- ICLR 2026Theoretical Modeling of Large Language Model Self-Improvement Training Dynamics Through Solver-Verifier Gap
- ICLR 2026Towards Cognitively-Faithful Decision-Making Models to Improve AI Alignment
- ICLR 2026Towards Persistent Noise-Tolerant Active Learning of Regular Languages with Class Query
- ICLR 2026What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data
- ICLR 2026Your Language Model Secretly Contains Personality Subnetworks
- ICLR 2025BLEND: Behavior-guided Neural Population Dynamics Modeling via Privileged Knowledge Distillation
- ICLR 2025BRAID: Input-driven Nonlinear Dynamical Modeling of Neural-Behavioral Data
- ICLR 2025Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization
- ICLR 2025Causally Motivated Sycophancy Mitigation for Large Language Models
- ICLR 2025Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment
- ICLR 2025Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
- ICLR 2025Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
- ICLR 2025Framer: Interactive Frame Interpolation
- ICLR 2025HelpSteer2-Preference: Complementing Ratings with Preferences
- ICLR 2025Language Representations Can be What Recommenders Need: Findings and Potentials
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。