数据集与基准论文趋势 2023–2026

新数据集与评测协议

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 5,856 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

数据集与基准论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023227162166382937
20244482163183641,346
20256374191893371,582
20266236352754581,991

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

全部数据集与基准论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 948 篇，第 5 / 19 页

  1. ICML 2026Rethinking Personalization in Large Language Models at the Token Level
  2. ICML 2026Revisiting Distribution Correction Estimation for Offline Imitation Learning with Suboptimal Dataset
  3. ICML 2026Revisiting Parameter-Based Knowledge Editing in Large Language Models: Theoretical Limits and Empirical Evidence
  4. ICML 2026Revisiting Pre-Propagation GNNs: Robust Diffusion Operators and Hidden-State Re-Propagation
  5. ICML 2026Revisiting the Volume Hypothesis
  6. ICML 2026Richer Bayesian Last Layers with Subsampled NTK Features
  7. ICML 2026Riemannian Neural Optimal Transport
  8. ICML 2026RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models
  9. ICML 2026ROAMM: A Benchmark Dataset for Multimodal Human Attention Decoding and EEG-to-Text Modeling During Naturalistic Reading
  10. ICML 2026Routing and Reasoned Evaluation with Large Language Models
  11. ICML 2026RubricRobustness: Evaluating the Sensitivity of Rubrics-Based Benchmarks to Simple Perturbations
  12. ICML 2026SafeSci: Safety Evaluation of Large Language Models in Science Domains and Beyond
  13. ICML 2026Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors
  14. ICML 2026Scalable Topology-Preserving Graph Coarsening: Concepts and Algorithms
  15. ICML 2026Scaling Continual Learning to 300+ Tasks with Bi-Level Routing Mixture-of-Experts
  16. ICML 2026scDataset: Scalable Data Loading for Deep Learning on Large-Scale Single-Cell Omics
  17. ICML 2026Seizure-Semiology-Suite($S^3$): A Clinically Multimodal Dataset, Benchmark, and Models for Seizure Semiology Understanding
  18. ICML 2026Selecting Samples on Graphs: A Unified Dataset Pruning Framework for Lossless Training Acceleration
  19. ICML 2026Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
  20. ICML 2026Set Diffusion: Interpolating Token Orderings between Autoregression and Diffusion for Fast and Flexible Decoding
  21. ICML 2026Set-Coupled Guidance: Set-Level Coordination in Diffusion-Based Dataset Distillation
  22. ICML 2026SHARP-Q: Spectral Hessian Alignment and Rectification for Post-training Quantization
  23. ICML 2026Simple Denoising Diffusion Language Models
  24. ICML 2026SMILE: Extended Deep Submodular Function-Based Instruction and In-context Learning Demonstration Selection
  25. ICML 2026Sparse and Faithful Local Explanations with Piecewise Linear Surrogates
  26. ICML 2026Sparse Autoencoders are Topic Models
  27. ICML 2026Spectral Collapse Drives Loss of Plasticity in Deep Continual Learning
  28. ICML 2026SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding
  29. ICML 2026SpikeNet: Sparse Spike-Driven Mask Vector Transformer for Energy-Efficient and Stable Spiking Point Cloud Processing
  30. ICML 2026Stabilizing PPO via Latent-Space Regularization and KDE-Driven Exploration
  31. ICML 2026STABLEVAL: Disagreement-Aware and Stable Evaluation of AI Systems
  32. ICML 2026Strategic Candidacy in Generative AI Arenas
  33. ICML 2026Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
  34. ICML 2026Stronger Benchmarks for Prediction as a Service with Constraints
  35. ICML 2026Subliminal Effects in Your Data: A General Mechanism via Log-Linearity
  36. ICML 2026SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale
  37. ICML 2026Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code
  38. ICML 2026TabICLv2: A Better, Faster, Scalable, and Open Tabular Foundation Model
  39. ICML 2026TelecomTS: A Multi-Modal Observability Dataset for Time Series and Language Analysis
  40. ICML 2026Telescope: Improving Zero Shot Detection of LLM Generated Content By Measuring Token Repetition Probability
  41. ICML 2026The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes
  42. ICML 2026The Illusion of Generalization in Tabular Language Models
  43. ICML 2026Time-PEFT: Temporal and Multichannel Complexity-Based Fine-Tuning for Time-Series Foundation Models
  44. ICML 2026Time-Series Decomposition as a Standalone Task: A Mechanism-Driven Diagnostic Benchmark
  45. ICML 2026TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
  46. ICML 2026TokSuite: Measuring the Impact of Tokenizer Choice on Language Model Behavior
  47. ICML 2026Topology-Aware Contrastive Learning: Regulating Representation Connectivity via Persistent Homology
  48. ICML 2026Towards Foundation Models for Zero-Shot Time Series Anomaly Detection: Leveraging Synthetic Data and Relative Context Discrepancy
  49. ICML 2026Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
  50. ICML 2026Trajectory Seriation via Spectral Tangent Alignment and Global Embedding

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 查数据集与基准在 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": "dataset-and-benchmarks"}

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数据集与基准论文？
共 5,856 篇，按年份分别是 2023 年 937 篇、2024 年 1,346 篇、2025 年 1,582 篇、2026 年 1,991 篇。
NeurIPS 2026 有多少篇数据集与基准论文？
NeurIPS 2026 有 623 篇数据集与基准论文，上一届是 637 篇。
ICLR 2026 有多少篇数据集与基准论文？
ICLR 2026 有 635 篇数据集与基准论文，上一届是 419 篇。
ICML 2026 有多少篇数据集与基准论文？
ICML 2026 有 275 篇数据集与基准论文，上一届是 189 篇。
CVPR 2026 有多少篇数据集与基准论文？
CVPR 2026 有 458 篇数据集与基准论文，上一届是 337 篇。
哪个会议的数据集与基准论文最多？
NeurIPS，2023–2026 年共 1,935 篇。

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