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 1,346 篇，第 12 / 27 页

  1. ICLR 2024The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
  2. ICLR 2024The Generalization Gap in Offline Reinforcement Learning
  3. ICLR 2024TiC-CLIP: Continual Training of CLIP Models
  4. ICLR 2024Time Travel in LLMs: Tracing Data Contamination in Large Language Models
  5. ICLR 2024To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
  6. ICLR 2024To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
  7. ICLR 2024Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
  8. ICLR 2024Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
  9. ICLR 2024Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
  10. ICLR 2024Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  11. ICLR 2024Towards Understanding Factual Knowledge of Large Language Models
  12. ICLR 2024Training Unbiased Diffusion Models From Biased Dataset
  13. ICLR 2024Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets
  14. ICLR 2024Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
  15. ICLR 2024Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks
  16. ICLR 2024Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
  17. ICLR 2024Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models
  18. ICLR 2024Unsupervised Order Learning
  19. ICLR 2024Unveiling the Pitfalls of Knowledge Editing for Large Language Models
  20. ICLR 2024ValUES: A Framework for Systematic Validation of Uncertainty Estimation in Semantic Segmentation
  21. ICLR 2024VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks
  22. ICLR 2024VFLAIR: A Research Library and Benchmark for Vertical Federated Learning
  23. ICLR 2024ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
  24. ICLR 2024VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  25. ICLR 2024WebArena: A Realistic Web Environment for Building Autonomous Agents
  26. ICLR 2024What's In My Big Data?
  27. ICLR 2024When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations
  28. ICLR 2024WildChat: 1M ChatGPT Interaction Logs in the Wild
  29. ICLR 2024Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML
  30. ICLR 2024Zero and Few-shot Semantic Parsing with Ambiguous Inputs
  31. ICML 2024$\texttt{MoE-RBench}$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts
  32. ICML 2024A Closer Look at the Limitations of Instruction Tuning
  33. ICML 2024A connection between Tempering and Entropic Mirror Descent
  34. ICML 2024A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
  35. ICML 2024A Dynamical Model of Neural Scaling Laws
  36. ICML 2024A Field Guide for Pacing Budget and ROS Constraints
  37. ICML 2024A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
  38. ICML 2024A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
  39. ICML 2024A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
  40. ICML 2024A New Branch-and-Bound Pruning Framework for $\ell_0$-Regularized Problems
  41. ICML 2024A Probabilistic Approach to Learning the Degree of Equivariance in Steerable CNNs
  42. ICML 2024A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models
  43. ICML 2024A Tensor Decomposition Perspective on Second-order RNNs
  44. ICML 2024A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks
  45. ICML 2024A Touch, Vision, and Language Dataset for Multimodal Alignment
  46. ICML 2024Achieving Margin Maximization Exponentially Fast via Progressive Norm Rescaling
  47. ICML 2024Active Statistical Inference
  48. ICML 2024Adversarially Robust Deep Multi-View Clustering: A Novel Attack and Defense Framework
  49. ICML 2024Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms
  50. ICML 2024Align Your Steps: Optimizing Sampling Schedules in Diffusion Models

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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