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

每年论文数

各会议论文数

按年份和会议统计

用户建模论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023101614949
2024181220454
20254217201190
202651403219142

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

全部用户建模论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 85 篇，第 2 / 2 页

  1. ICLR 2025Logic-Logit: A Logic-Based Approach to Choice Modeling
  2. ICLR 2025Long-Sequence Recommendation Models Need Decoupled Embeddings
  3. ICLR 2025Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions
  4. ICLR 2025MuHBoost: Multi-Label Boosting For Practical Longitudinal Human Behavior Modeling
  5. ICLR 2025PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment
  6. ICLR 2025Rethinking Reward Modeling in Preference-based Large Language Model Alignment
  7. ICLR 2025Strong Preferences Affect the Robustness of Preference Models and Value Alignment
  8. ICLR 2024Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
  9. ICLR 2024Conformal Language Modeling
  10. ICLR 2024Enhancing Neural Training via a Correlated Dynamics Model
  11. ICLR 2024Future Language Modeling from Temporal Document History
  12. ICLR 2024Learning Multi-Faceted Prototypical User Interests
  13. ICLR 2024LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models
  14. ICLR 2024Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems
  15. ICLR 2024Representation Deficiency in Masked Language Modeling
  16. ICLR 2024Tool-Augmented Reward Modeling
  17. ICLR 2024Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
  18. ICLR 2024Turning large language models into cognitive models
  19. ICLR 2024When should we prefer Decision Transformers for Offline Reinforcement Learning?
  20. ICLR 2023Augmentation Component Analysis: Modeling Similarity via the Augmentation Overlaps
  21. ICLR 2023Continuous-Discrete Convolution for Geometry-Sequence Modeling in Proteins
  22. ICLR 2023Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
  23. ICLR 2023Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
  24. ICLR 2023Memorization-Dilation: Modeling Neural Collapse Under Noise
  25. ICLR 2023Modeling content creator incentives on algorithm-curated platforms
  26. ICLR 2023Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization
  27. ICLR 2023Neural Lagrangian Schr\"{o}dinger Bridge: Diffusion Modeling for Population Dynamics
  28. ICLR 2023Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling
  29. ICLR 2023OTOv2: Automatic, Generic, User-Friendly
  30. ICLR 2023Preference Transformer: Modeling Human Preferences using Transformers for RL
  31. ICLR 2023Quality-Similar Diversity via Population Based Reinforcement Learning
  32. ICLR 2023Scenario-based Question Answering with Interacting Contextual Properties
  33. ICLR 2023The Surprising Computational Power of Nondeterministic Stack RNNs
  34. ICLR 2023Toeplitz Neural Network for Sequence Modeling
  35. ICLR 2023User-Interactive Offline Reinforcement Learning

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"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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