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 1,987 篇，第 33 / 40 页

  1. NeurIPS 2026Harnessing Data Asymmetry in Manifold Learning
  2. NeurIPS 2026Heavy-Tailed Flow Matching via Random Clocks
  3. NeurIPS 2026HERO: Improving the Reliability and Sensitivity of Generative Model Evaluation Using Historical Data
  4. NeurIPS 2026Hidden Measurement Error in LLM Pipelines Distorts Annotation, Evaluation, and Benchmarking
  5. NeurIPS 2026Hidden Positives: Why Code Retrieval Benchmarks Underestimate Model Quality
  6. NeurIPS 2026Hierarchical Agglomerative Clustering via Relaxed Representatives
  7. NeurIPS 2026Hierarchical Graph Representation Learning with Pooling-Induced Substructures
  8. NeurIPS 2026High Performance Differentially Private Fine-Tuning using Dataset Distillation
  9. NeurIPS 2026High-Dimensional Conditional Independence Testing via Random Projection Aggregation
  10. NeurIPS 2026HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis
  11. NeurIPS 2026Hint Tuning: Less Data Makes Better Reasoners
  12. NeurIPS 2026HOPSE: Scalable Higher-Order Positional and Structural Encoder for Combinatorial Representations
  13. NeurIPS 2026How Deep Are Deep GPs, Really? A Sharp Threshold and a Non-Gaussian Limit for Compositional GPs
  14. NeurIPS 2026How Much of a Model Do We Need? Redundancy and Slimmability in Remote Sensing Foundation Models
  15. NeurIPS 2026How New Strategies Emerge in RL Post-Training: A Controlled Study
  16. NeurIPS 2026How Private is Private? A Comparative Study for Face De-Identification
  17. NeurIPS 2026How to Have a Sensitive Debate
  18. NeurIPS 2026HumanStereo: A Benchmark for Metric Facial Depth Estimation and Its Evaluation
  19. NeurIPS 2026Hybrid Probabilistic Zonotopes for Identifiable and Refinable Predictive Uncertainty
  20. NeurIPS 2026HypMoE-ReID: Hyperspherical Mixture-of-Experts for Large Scale Person Re-Identification
  21. NeurIPS 2026Identification and Bounding of Joint Expectation over Potential Outcomes
  22. NeurIPS 2026ImageNet FID is a Pass Check, Not a Finish Line
  23. NeurIPS 2026Incorporating Neural Network Structure in the Bayesian Learning Rule
  24. NeurIPS 2026Independent Latents, Robust Neural Operators
  25. NeurIPS 2026Inference and estimation with unidentifiable latent treatment effects
  26. NeurIPS 2026Inferring learning rules in deep neural network architectures from animal learning data
  27. NeurIPS 2026Information Discernment in Large Language Models
  28. NeurIPS 2026Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs
  29. NeurIPS 2026Integrating Local and Global Entropy for Uncertainty Quantification in LLMs
  30. NeurIPS 2026IntegrityBench: Can LLMs Be Trusted as Co-Scientists? A Research Integrity Benchmark
  31. NeurIPS 2026InterLV-Search: Benchmarking Interleaved Multimodal Agentic Search
  32. NeurIPS 2026Inverse Linear Bandits via Linear Programs
  33. NeurIPS 2026Inverting Retargeting: Humanoid Datasets Remember Their Operators
  34. NeurIPS 2026Isharah-Selfie: Continuous Sign Language Recognition Dataset for One-handed Signing
  35. NeurIPS 2026Isotropic Activation Functions Enable Deindividuated Neurons and Adaptive Topologies
  36. NeurIPS 2026Iterative Latent Refinement for Value Learning in Offline Goal-Conditioned RL
  37. NeurIPS 2026Jailbreak susceptibility prediction and mitigation via the behavioral geometry of models
  38. NeurIPS 2026Joint Learning of Hierarchical Neural Options and Abstract World Model
  39. NeurIPS 2026Jointly Reinforcing Diversity and Quality in Language Model Generations
  40. NeurIPS 2026JudgmentBench: Comparing Rubric and Preference Evaluation for Quality Assessment
  41. NeurIPS 2026KiteNorm: Variance Regularisation for Stable and Scalable Post-LN Transformers
  42. NeurIPS 2026KNN Implementation Details Can Dramatically Change Performance: An Example from Cover Trees
  43. NeurIPS 2026Knowing Without Saying: How Contextual Evidence Survives but Fails to Surface in Transformers
  44. NeurIPS 2026L-FAME: Longitudinal Focused Attention Meditation EEG Dataset and Benchmark
  45. NeurIPS 2026Label-Efficient Dataset Pruning via Semi-Supervised Pseudo-Labeling
  46. NeurIPS 2026LAION-BVD: A 10-Million-Hour Open Video Dataset for Multimodal Pre-training
  47. NeurIPS 2026Large Language Model Selection with Limited Annotations
  48. NeurIPS 2026Latent Video Prediction for World Modeling: An Evaluation Uncovering Intriguing Favorable Evidence
  49. NeurIPS 2026Lattice Deduction Transformers
  50. NeurIPS 2026Layer Free-Riding in Forward-Forward Networks: Real, Repairable, but Not Accuracy-Dominant

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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