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 948 篇，第 4 / 19 页

  1. ICML 2026MAnchors: Memorization-Based Acceleration of Anchors via Rule Reuse and Transformation
  2. ICML 2026Many Needles in a Haystack: Active Hit Discovery for Perturbation Experiments
  3. ICML 2026Markov Chain Monte Carlo without Evaluating the Target: an Auxiliary Variable Approach
  4. ICML 2026Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
  5. ICML 2026Mind Your Margin and Boundary: Are Your Distilled Datasets Truly Robust?
  6. ICML 2026MIND: Decoupling Model-Induced Label Noise via Latent Manifold Disentanglement
  7. ICML 2026Minibatch Optimal Transport and Perplexity Bound Estimation in Discrete Flow Matching
  8. ICML 2026MLUBench: A Benchmark for Lifelong Unlearning Evaluation in MLLMs
  9. ICML 2026MM-Snowball: Evaluating and Mitigating Hallucination Snowballing in Multimodal Multi-Turn Dialogue
  10. ICML 2026Modeling Attributional Style at Scale: A Dataset and Analysis for Psychological Attribution Assessment and Reframing
  11. ICML 2026MORE: A Multilingual Document Parsing Benchmark and Evaluation
  12. ICML 2026MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations
  13. ICML 2026Narrowing the ANN–SNN Gap for Continuous 1D Temporal Signal Classification with Multi-Scale Temporal Encoding and Sparsity-Regularized Transform Encoding
  14. ICML 2026Near-Optimal Convergence of Accelerated Gradient Methods under Generalized and $(L_0,L_1)$-Smoothness
  15. ICML 2026Needles in the Haystack: Addressing Signal Dilution Improves scRNA-seq Perturbation Response Modeling and Evaluation
  16. ICML 2026Neural Logistic Bandits
  17. ICML 2026NeuralFLoC: Neural Flow-Based Joint Registration and Clustering of Functional Data
  18. ICML 2026New Algorithms for Fully-Dynamic k-center with Outliers
  19. ICML 2026New Bounds for Kernel Sums via Fast Spherical Embeddings
  20. ICML 2026Offline Multi-agent Continual Cooperation via Skill Partition and Reuse
  21. ICML 2026Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
  22. ICML 2026On the Expressive Power of GNNs to Solve Linear SDPs
  23. ICML 2026One Batch Is Enough: A Unified Dataset Condensation Framework for General Time Series Analysis
  24. ICML 2026OpenGPT-4o-Image: A Comprehensive Dataset for Advanced Image Generation and Editing
  25. ICML 2026Optimal Unconstrained Self-Distillation in Ridge Regression: Strict Improvements, Precise Asymptotics, and One-Shot Tuning
  26. ICML 2026ORLoopBench: Solver-in-the-Loop Benchmarks for Self-Correction and Behavioral Rationality in Operations Research
  27. ICML 2026OSM+: Billion-Level Open Street Map Dataset for City-wide Experiments
  28. ICML 2026Per-example Gradients: a New Frontier for Understanding and Improving Optimizers
  29. ICML 2026Plasticity Activation via Polar Operator: A Plug-in Method for Balancing Stability and Plasticity
  30. ICML 2026PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents
  31. ICML 2026Positive-Unlabeled Learning with Extreme Scarcity of Labeled Positives
  32. ICML 2026Prescriptive Scaling Reveals the Evolution of Language Model Capabilities
  33. ICML 2026Prioritized Model Experience Replay
  34. ICML 2026PRISM: Demystifying Retention and Interaction in Mid-Training
  35. ICML 2026Privasis: Synthesizing the Largest "Public" Private Dataset from Scratch
  36. ICML 2026Probably Approximately Correct Labels
  37. ICML 2026ProEval: Proactive Failure Discovery and Efficient Performance Estimation for Generative AI Evaluation
  38. ICML 2026Progressive Cramming: Reliable Token Compression and What It Reveals
  39. ICML 2026ProMiSE: Protein Multi-State Evaluation Benchmark in Biological Contexts
  40. ICML 2026ProOPF: Benchmarking and Improving LLMs for Professional-Grade Power Systems Optimization Modeling
  41. ICML 2026ProtDBench: A Unified Benchmark of Protein Binder Design and Evaluation
  42. ICML 2026Pruning at Initialisation through the lens of Graphon Limit: Convergence, Expressivity, and Generalisation
  43. ICML 2026QuITE: Query-Based Irregular Time Series Embedding
  44. ICML 2026Recovering Policy-Induced Errors: Benchmarking and Trajectory Synthesis for Robust GUI Agents
  45. ICML 2026Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations
  46. ICML 2026Rel-MOSS: Towards Imbalanced Relational Deep Learning on Relational Databases
  47. ICML 2026Reliable Thinking with Images
  48. ICML 2026Rethinking Contrastive Learning for Graph Collaborative Filtering: Limitations and a Simple Remedy
  49. ICML 2026Rethinking GNNs and Missing Features: Challenges, Evaluation and a Robust Solution
  50. ICML 2026Rethinking Multimodal Time-Series Forecasting Evaluation

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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