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 32 / 40 页

  1. NeurIPS 2026Evaluating Epistemic Uncertainty: Beyond OOD Detection and Active Learning
  2. NeurIPS 2026Evaluating Physical Reasoning in LLM Agents Requires Construction Benchmarks
  3. NeurIPS 2026EVALUATION CARDS: An Interpretive Layer for AI Evaluation Reporting
  4. NeurIPS 2026Explanation Multiplicity in SHAP: Characterization and Assessment
  5. NeurIPS 2026Exploring Starts Are Not Enough: Counterexamples and a Fix for Monte Carlo Exploring Starts
  6. NeurIPS 2026Exposing and Mitigating Temporal Attack in Deepfake Video Detection
  7. NeurIPS 2026Extending Myerson's Optimal Auctions to Correlated Bidders via Neural Network Interpolation
  8. NeurIPS 2026ExtrapAir: Air Quality Inference at Unmonitored Locations via Weather-Bridged Spatial Attention
  9. NeurIPS 2026Eyes on VLM: Benchmarking Gaze Following and Social Gaze Prediction in Vision Language Models
  10. NeurIPS 2026FacePhys: State of the Heart Learning
  11. NeurIPS 2026Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models
  12. NeurIPS 2026Fair Bubble Sort: Provably Optimal Fair Ranking with Continuous Sensitive Attributes
  13. NeurIPS 2026Fair Range k-Supplier Clustering in Offline and Streaming Models
  14. NeurIPS 2026Faithful Embeddings of Irregular and Asynchronous Data for Online Log-NCDEs
  15. NeurIPS 2026Faithfulness Metrics Don't Measure Faithfulness: A Meta-Evaluation with Ground Truth
  16. NeurIPS 2026FaithSieve: Fine-Grained Evaluation of Math Proofs with Faithful Formal Evidence
  17. NeurIPS 2026FakeParts: a New Family of AI-Generated Video Forgeries
  18. NeurIPS 2026Fast and Accurate Probing of In-Training LLMs' Downstream Performances
  19. NeurIPS 2026Fast and slow gradient descent dynamics of logistic regression through weak alignment
  20. NeurIPS 2026Fast and Stable Triangular Inversion for Delta-Rule Linear Transformers
  21. NeurIPS 2026FAST-Brain: A Flow-Aligned Spatio-Temporal Surrogate Brain Model
  22. NeurIPS 2026Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations
  23. NeurIPS 2026FiTS: Interpretable Spiking Neurons via Frequency Selectivity and Temporal Shaping
  24. NeurIPS 2026Fixed-Size Active Statistical Inference
  25. NeurIPS 2026Flash-KMeans: Fast and Memory-Efficient Exact K-Means
  26. NeurIPS 2026Flexible Intensities Matter: A comprehensive re-evaluation of Classical and Neural Temporal Point Processes
  27. NeurIPS 2026Flow-Direct: Feedback-Efficient and Reusable Guidance for Flow Models via Non-Parametric Guidance Field
  28. NeurIPS 2026Flow-Guided Target-Space Alignment via Path Consistency
  29. NeurIPS 2026FlyingDrones: A Dataset and Benchmark for Optical Flow Estimation from UAV motion
  30. NeurIPS 2026ForceBody: Force-Paired Parametric Body Motion with Torque Uncertainty
  31. NeurIPS 2026Fourier Contour Learning for Efficient and Traceable Cardiac MRI Quantification
  32. NeurIPS 2026FrameSelect: A Unified Library for Video Frame Selection and Evaluation
  33. NeurIPS 2026Frontier Task Synthesis Via Solution-Centric Evolution
  34. NeurIPS 2026fxBench: Evaluating and Understanding Formula Suggestions in Spreadsheets
  35. NeurIPS 2026Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention
  36. NeurIPS 2026GEMS-3D: A Large-Scale 3D Gravity, Electrical, Magnetic, and Seismic Earth Simulation Dataset for Multimodal Geophysical Learning
  37. NeurIPS 2026GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators
  38. NeurIPS 2026Generalised Linear Models in Deep Bayesian RL with Learnable Basis Functions
  39. NeurIPS 2026GeoDial: A Multimodal Dialog Tutoring Dataset for Geometry Problem-Solving with Visual Tutor Turns
  40. NeurIPS 2026Geometric Analysis of Neural Regression Collapse via Intrinsic Dimension
  41. NeurIPS 2026Georeferenced Cross-View 3D Reconstruction from Ground and Satellite Images
  42. NeurIPS 2026gfnx: Fast and Scalable Library for Generative Flow Networks in JAX
  43. NeurIPS 2026GMOS: Grounding Moving Object Segmentation in 3D Space and Time
  44. NeurIPS 2026GPT-Image-Edit-1M: An Auditable Million-Scale Dataset for Instruction-Guided Image Editing
  45. NeurIPS 2026GUI-Libra: Data-Efficient Post-Training for Reliable Reasoning-and-Acting in Native GUI Agents
  46. NeurIPS 2026Gumbo: Gumbel Optimized High-Temperature Speculative Sampling
  47. NeurIPS 2026Hack-Verifiable Environments: Towards Evaluating Reward Hacking at Scale
  48. NeurIPS 2026haphazard: A unified library and benchmark for online learning under varying feature availability
  49. NeurIPS 2026Harbor Adapters and Harbor-Mix: Infrastructure and a Curated Meta-Dataset for Large-Scale Agentic Evaluation
  50. NeurIPS 2026Harnessing Accurate and Automatic Trend Detection in Data Streams via Tbps-Level Inference

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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