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 67 篇，第 1 / 2 页

1. NeurIPS 2026An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
2. NeurIPS 2026COSAC: Counterfactual Credit Assignment in Sequential Cooperative Teams
3. NeurIPS 2026DARTS: Targeting Prognostic Covariates in Budget-Constrained Sequential Experiments
4. NeurIPS 2026Diffusion Path Samplers via Sequential Monte Carlo
5. NeurIPS 2026DynEdit: Dynamic Entropy-Guided Sequential Editing for Large Language Models
6. NeurIPS 2026Ensembling Language Models with Sequential Monte Carlo
7. NeurIPS 2026Goal-Conditioned Supervised Learning for Multi-Objective Recommendation
8. NeurIPS 2026Loop-Free Inverse Reinforcement Learning via Sequential Value Recovery
9. NeurIPS 2026MARS: Multi-resolution Adaptive Routing for Sequential Recommendation
10. NeurIPS 2026MESSENGER: Memory-Enhanced Sequential Scene Flow Estimation via Autoregressive Next-Frame Forecasting
11. NeurIPS 2026MoRe: Modular Representations for Principled Continual Representation Learning on Sequential Data
12. NeurIPS 2026PreDiff: Sequential Recommendation by Denoising Preference Distributions
13. NeurIPS 2026RecMem: Recurrent Memory Compression for Long-Sequence Recommendation
14. NeurIPS 2026RxDiff: Discrete Diffusion for Medication Recommendation with Inference-Time Safety Control
15. NeurIPS 2026Test-Time Sequential Steering of Diffusion Models via Preconditioned Crank-Nicolson
16. NeurIPS 2026The End Justifies the Mean: Linear Ranking Rules for Proportional Sequential Decisions
17. NeurIPS 2026The Post-Training Dilemma: Why We Should Rethink the Sequential SFT-RL Paradigm
18. NeurIPS 2026The Weight Gram Matrix Captures Sequential Feature Linearization in Deep Networks
19. NeurIPS 2026TRACE: Tourism Recommendation with Accountable Citation Evidence
20. NeurIPS 2026VAMIRec: Value-Aware Memory Intervention for Continual Recommendation
21. NeurIPS 2025Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features
22. NeurIPS 2025FFN Fusion: Rethinking Sequential Computation in Large Language Models
23. NeurIPS 2025Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models
24. NeurIPS 2025How Patterns Dictate Learnability in Sequential Data
25. NeurIPS 2025HPSERec: A Hierarchical Partitioning and Stepwise Enhancement Framework for Long-tailed Sequential Recommendation
26. NeurIPS 2025Learning Latent Variable Models via Jarzynski-adjusted Langevin Algorithm
27. NeurIPS 2025Martingale Posterior Neural Networks for Fast Sequential Decision Making
28. NeurIPS 2025Merging on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging
29. NeurIPS 2025P-Law: Predicting Quantitative Scaling Law with Entropy Guidance in Large Recommendation Models
30. NeurIPS 2025Path-Enhanced Contrastive Learning for Recommendation
31. NeurIPS 2025Personalized Exercise Recommendation with Semantically-Grounded Knowledge Tracing
32. NeurIPS 2025Photography Perspective Composition: Towards Aesthetic Perspective Recommendation
33. NeurIPS 2025Sequential Attention-based Sampling for Histopathological Analysis
34. NeurIPS 2025SPOT-Trip: Dual-Preference Driven Out-of-Town Trip Recommendation
35. NeurIPS 2025SRA-CL: Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation
36. NeurIPS 2025STAR-Bets: Sequential TArget-Recalculating Bets for Tighter Confidence Intervals
37. NeurIPS 2025Tree of Preferences for Diversified Recommendation
38. NeurIPS 2025TV-Rec: Time-Variant Convolutional Filter for Sequential Recommendation
39. NeurIPS 2025YEAST: Yet Another Sequential Test
40. NeurIPS 2024A distributional simplicity bias in the learning dynamics of transformers
41. NeurIPS 2024Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
42. NeurIPS 2024Breaking Determinism: Fuzzy Modeling of Sequential Recommendation Using Discrete State Space Diffusion Model
43. NeurIPS 2024Complete Graphical Criterion for Sequential Covariate Adjustment in Causal Inference
44. NeurIPS 2024CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence
45. NeurIPS 2024Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
46. NeurIPS 2024End-to-end Learnable Clustering for Intent Learning in Recommendation
47. NeurIPS 2024Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation
48. NeurIPS 2024LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
49. NeurIPS 2024On Softmax Direct Preference Optimization for Recommendation
50. NeurIPS 2024Recursive PAC-Bayes: A Frequentist Approach to Sequential Prior Updates with No Information Loss

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。