序列推荐论文趋势 2023–2026

主要结论

• 序列推荐论文从 2023 年的 39 篇增长到 2026 年的 43 篇，三年间扩大到约 1.1 倍。
• NeurIPS 是发序列推荐论文最多的会议，2023–2026 年共 67 篇，占四个会议总量的 47%。
• 交叉方向里涨得最快的是MCTS：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 5 篇。
• 在「推荐与广告」的 5 个主题里，它的 2026 年论文数排第 5；同组增长最快的点击率预测是 2.6 倍，序列推荐是 1.1 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 2026An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
• ICML 2026Sequential Group Composition: A Window into the Mechanics of Deep Learning
• ICLR 2026Energy-Regularized Sequential Model Editing on Hyperspheres
• CVPR 2026Online3R Online Learning for Consistent Sequential Reconstruction Based on Geometry
• NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
• ICML 2025A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
• ICLR 2025A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
• NeurIPS 2024CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
• ICML 2024Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
• ICLR 2024Parallelizing non-linear sequential models over the sequence length
• CVPR 2024MuseChat: A Conversational Music Recommendation System for Videos
• NeurIPS 2023Cascading Bandits: Optimizing Recommendation Frequency in Delayed Feedback Environments
• ICML 2023A Kernel Stein Test of Goodness of Fit for Sequential Models
• ICLR 2023Neural-based classification rule learning for sequential data
• CVPR 2023Guided Recommendation for Model Fine-Tuning
• NeurIPS 2026DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments
• ICML 2026Asymptotically Optimal Sequential Testing with Markovian Data
• ICLR 2026Sequential Parallel Duality in Prefix Scannable Models
• CVPR 2026MGDHand Multi-Granularity Prior-to-Inertial Distillation Framework for Sequential 3D Hand Pose
• NeurIPS 2025FFN Fusion: Rethinking Sequential Computation in Large Language Models

全部序列推荐论文

共 142 篇，第 1 / 3 页

1. CVPR 2026MGDHand Multi-Granularity Prior-to-Inertial Distillation Framework for Sequential 3D Hand Pose
2. CVPR 2026Online3R Online Learning for Consistent Sequential Reconstruction Based on Geometry
3. ICLR 2026Bayesian Ensemble for Sequential Decision-Making
4. ICLR 2026CollectiveKV: Decoupling and Sharing Collaborative Information in Sequential Recommendation
5. ICLR 2026Energy-Regularized Sequential Model Editing on Hyperspheres
6. ICLR 2026Grouping Nodes with known Value Differences: A lossless UCT-based Abstraction Algorithm
7. ICLR 2026Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
8. ICLR 2026Revenue Maximization Under Sequential Price Competition Via The Estimation Of $s$-Concave Demand Functions
9. ICLR 2026Revisiting Active Sequential Prediction-Powered Mean Estimation
10. ICLR 2026Sequential Parallel Duality in Prefix Scannable Models
11. ICLR 2026Steering Diffusion Models Towards Credible Content Recommendation
12. ICLR 2026Temporal Sparse Autoencoders: Leveraging the Sequential Nature of Language for Interpretability
13. ICML 2026Asymptotically Optimal Sequential Testing with Markovian Data
14. ICML 2026Beyond First-order Asymptotics in Sequential Mean Testing
15. ICML 2026CRAMER: Control via Request-Aware Masking for Editing Recommenders
16. ICML 2026Efficient Stochastic Optimisation via Sequential Monte Carlo
17. ICML 2026MIMOMamba: From Scalar Duality to Matrix-Valued Attention
18. ICML 2026Mitigating Reward Hacking in LLM-based Recommendation: A Preference Optimization Approach
19. ICML 2026ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation
20. ICML 2026Sequential Group Composition: A Window into the Mechanics of Deep Learning
21. ICML 2026Sequential Kernel-based Conditional Independence Testing via Adaptive Betting
22. ICML 2026The Cost of Learning Under Multiple Change Points
23. ICML 2026Twice Sequential Monte Carlo for Tree Search
24. NeurIPS 2026An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
25. NeurIPS 2026COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams
26. NeurIPS 2026DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments
27. NeurIPS 2026Diffusion Path Samplers via Sequential Monte Carlo
28. NeurIPS 2026DynEdit: Dynamic Entropy-Guided Sequential Editing for Large Language Models
29. NeurIPS 2026Ensembling Language Models with Sequential Monte Carlo
30. NeurIPS 2026Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
31. NeurIPS 2026Loop-Free Inverse Reinforcement Learning via Sequential Value Recovery
32. NeurIPS 2026MARS: Multi-resolution Adaptive Routing for Sequential Recommendation
33. NeurIPS 2026MESSENGER: Memory-Enhanced Sequential Scene Flow Estimation via Autoregressive Next-Frame Forecasting
34. NeurIPS 2026MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data
35. NeurIPS 2026PreDiff: Sequential Recommendation by Denoising Preference Distributions
36. NeurIPS 2026RecMem: Recurrent Memory Compression for Long-Sequence Recommendation
37. NeurIPS 2026RxDiff: Discrete Diffusion for Medication Recommendation with Inference-Time Safety Control
38. NeurIPS 2026Test-Time Sequential Steering of Diffusion Models via Preconditioned Crank-Nicolson
39. NeurIPS 2026The End Justifies the Mean: Linear Ranking Rules for Proportional Sequential Decisions
40. NeurIPS 2026The Post-Training Dilemma: Why We Should Rethink the Sequential SFT-RL Paradigm
41. NeurIPS 2026The Weight Gram Matrix Captures Sequential Feature Linearization in Deep Networks
42. NeurIPS 2026TRACE: Tourism Recommendation with Accountable Citation Evidence
43. NeurIPS 2026VAMIRec: Value-Aware Memory Intervention for Continual Recommendation
44. ICLR 2025A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
45. ICLR 2025An Auditing Test to Detect Behavioral Shift in Language Models
46. ICLR 2025Perturbation-Restrained Sequential Model Editing
47. ICLR 2025Preference Diffusion for Recommendation
48. ICLR 2025RecFlow: An Industrial Full Flow Recommendation Dataset
49. ICLR 2025SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
50. ICML 2025A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings

常见问题

2023–2026 年四大会议一共有多少篇序列推荐论文？

共 142 篇，按年份分别是 2023 年 39 篇、2024 年 31 篇、2025 年 29 篇、2026 年 43 篇。

NeurIPS 2026 有多少篇序列推荐论文？

NeurIPS 2026 有 20 篇序列推荐论文，上一届是 19 篇。

ICLR 2026 有多少篇序列推荐论文？

ICLR 2026 有 10 篇序列推荐论文，上一届是 6 篇。

ICML 2026 有多少篇序列推荐论文？

ICML 2026 有 11 篇序列推荐论文，上一届是 4 篇。

CVPR 2026 有多少篇序列推荐论文？

CVPR 2026 有 2 篇序列推荐论文。

哪个会议的序列推荐论文最多？

NeurIPS，2023–2026 年共 67 篇。