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 5,852 篇，第 80 / 118 页

  1. ICLR 2024Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
  2. ICLR 2024Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
  3. ICLR 2024Behaviour Distillation
  4. ICLR 2024Benchmarking Algorithms for Federated Domain Generalization
  5. ICLR 2024BEND: Benchmarking DNA Language Models on Biologically Meaningful Tasks
  6. ICLR 2024Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
  7. ICLR 2024Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
  8. ICLR 2024BooookScore: A systematic exploration of book-length summarization in the era of LLMs
  9. ICLR 2024Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
  10. ICLR 2024Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
  11. ICLR 2024Can Transformers Capture Spatial Relations between Objects?
  12. ICLR 2024Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
  13. ICLR 2024CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery
  14. ICLR 2024CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning
  15. ICLR 2024Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning
  16. ICLR 2024CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
  17. ICLR 2024CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment
  18. ICLR 2024Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.
  19. ICLR 2024COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
  20. ICLR 2024COLLIE: Systematic Construction of Constrained Text Generation Tasks
  21. ICLR 2024CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
  22. ICLR 2024Compressing LLMs: The Truth is Rarely Pure and Never Simple
  23. ICLR 2024Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
  24. ICLR 2024Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
  25. ICLR 2024Consistent Multi-Class Classification from Multiple Unlabeled Datasets
  26. ICLR 2024ContextRef: Evaluating Referenceless Metrics for Image Description Generation
  27. ICLR 2024Continual Learning in the Presence of Spurious Correlations: Analyses and a Simple Baseline
  28. ICLR 2024Continual Learning on a Diet: Learning from Sparsely Labeled Streams Under Constrained Computation
  29. ICLR 2024Data Distillation Can Be Like Vodka: Distilling More Times For Better Quality
  30. ICLR 2024Data Filtering Networks
  31. ICLR 2024Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
  32. ICLR 2024Defining and extracting generalizable interaction primitives from DNNs
  33. ICLR 2024DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING
  34. ICLR 2024Depthwise Hyperparameter Transfer in Residual Networks: Dynamics and Scaling Limit
  35. ICLR 2024Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
  36. ICLR 2024Distributionally Robust Optimization with Bias and Variance Reduction
  37. ICLR 2024Does Progress On Object Recognition Benchmarks Improve Generalization on Crowdsourced, Global Data?
  38. ICLR 2024DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing
  39. ICLR 2024Dual RL: Unification and New Methods for Reinforcement and Imitation Learning
  40. ICLR 2024DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
  41. ICLR 2024EasyTPP: Towards Open Benchmarking Temporal Point Processes
  42. ICLR 2024Effective pruning of web-scale datasets based on complexity of concept clusters
  43. ICLR 2024Efficient ConvBN Blocks for Transfer Learning and Beyond
  44. ICLR 2024Efficiently Computing Similarities to Private Datasets
  45. ICLR 2024Embarrassingly Simple Dataset Distillation
  46. ICLR 2024Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
  47. ICLR 2024Energy-based Automated Model Evaluation
  48. ICLR 2024Energy-Based Concept Bottleneck Models: Unifying Prediction, Concept Intervention, and Probabilistic Interpretations
  49. ICLR 2024Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
  50. ICLR 2024Epitopological learning and Cannistraci-Hebb network shape intelligence brain-inspired theory for ultra-sparse advantage in deep 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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