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 216 篇，第 4 / 5 页

  1. ICLR 2024Pooling Image Datasets with Multiple Covariate Shift and Imbalance
  2. ICLR 2024Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization
  3. ICLR 2024Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
  4. ICLR 2024Proving Test Set Contamination in Black-Box Language Models
  5. ICLR 2024Pushing Boundaries: Mixup's Influence on Neural Collapse
  6. ICLR 2024Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
  7. ICLR 2024Query-Dependent Prompt Evaluation and Optimization with Offline Inverse RL
  8. ICLR 2024Quick-Tune: Quickly Learning Which Pretrained Model to Finetune and How
  9. ICLR 2024R-MAE: Regions Meet Masked Autoencoders
  10. ICLR 2024Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
  11. ICLR 2024ReMasker: Imputing Tabular Data with Masked Autoencoding
  12. ICLR 2024Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
  13. ICLR 2024Repelling Random Walks
  14. ICLR 2024RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
  15. ICLR 2024Rethinking and Extending the Probabilistic Inference Capacity of GNNs
  16. ICLR 2024Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
  17. ICLR 2024RETSim: Resilient and Efficient Text Similarity
  18. ICLR 2024Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
  19. ICLR 2024Robust NAS under adversarial training: benchmark, theory, and beyond
  20. ICLR 2024Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification
  21. ICLR 2024Safe Collaborative Filtering
  22. ICLR 2024Scalable Neural Network Kernels
  23. ICLR 2024Self-Supervised Dataset Distillation for Transfer Learning
  24. ICLR 2024SKILL-MIX: a Flexible and Expandable Family of Evaluations for AI Models
  25. ICLR 2024SliceGPT: Compress Large Language Models by Deleting Rows and Columns
  26. ICLR 2024SmartPlay : A Benchmark for LLMs as Intelligent Agents
  27. ICLR 2024Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
  28. ICLR 2024SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series
  29. ICLR 2024SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
  30. ICLR 2024SpaCE: The Spatial Confounding Environment
  31. ICLR 2024STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models
  32. ICLR 2024Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets
  33. ICLR 2024SWE-bench: Can Language Models Resolve Real-world Github Issues?
  34. ICLR 2024Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching
  35. ICLR 2024TabR: Tabular Deep Learning Meets Nearest Neighbors
  36. ICLR 2024Tangent Transformers for Composition,Privacy and Removal
  37. ICLR 2024The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images
  38. ICLR 2024The Generalization Gap in Offline Reinforcement Learning
  39. ICLR 2024TiC-CLIP: Continual Training of CLIP Models
  40. ICLR 2024Time Travel in LLMs: Tracing Data Contamination in Large Language Models
  41. ICLR 2024To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets
  42. ICLR 2024To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
  43. ICLR 2024Towards Assessing and Benchmarking Risk-Return Tradeoff of Off-Policy Evaluation
  44. ICLR 2024Towards Diverse Behaviors: A Benchmark for Imitation Learning with Human Demonstrations
  45. ICLR 2024Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
  46. ICLR 2024Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  47. ICLR 2024Towards Understanding Factual Knowledge of Large Language Models
  48. ICLR 2024Training Unbiased Diffusion Models From Biased Dataset
  49. ICLR 2024Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets
  50. ICLR 2024Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised 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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