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 22 / 118 页

  1. ICLR 2026VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models
  2. ICLR 2026Video-LevelGauge: Investigating Contextual Positional Bias in Video Language Models.
  3. ICLR 2026VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation
  4. ICLR 2026Virne: A Comprehensive Benchmark for RL-based Network Resource Allocation in NFV
  5. ICLR 2026Virtual Community: An Open World for Humans, Robots, and Society
  6. ICLR 2026VisCoder2: Building Multi-Language Visualization Coding Agents
  7. ICLR 2026VisCodex: Unified Multimodal Code Generation via Merging Vision and Coding Models
  8. ICLR 2026Vision Language Models are Biased
  9. ICLR 2026VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations
  10. ICLR 2026VisualPRM400K: An Effective Dataset for Training Multimodal Process Reward Models
  11. ICLR 2026VisuLogic: A Benchmark for Evaluating Visual Reasoning in Multi-modal Large Language Models
  12. ICLR 2026VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?
  13. ICLR 2026VLSU: Mapping the Limits of Joint Multimodal Understanding for AI Safety
  14. ICLR 2026VoxPrivacy: A Benchmark for Evaluating Interactional Privacy of Speech Language Models
  15. ICLR 2026VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents
  16. ICLR 2026VUDG: A Dataset for Video Understanding Domain Generalization
  17. ICLR 2026WARC-Bench: Web Archive based Benchmark for GUI Subtask Executions
  18. ICLR 2026WARP: Weight Teleportation for Attack-Resilient Unlearning Protocols
  19. ICLR 2026WearVox: An Egocentric Multichannel Voice Assistant Benchmark for Wearables
  20. ICLR 2026WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality
  21. ICLR 2026WebDS: An End-to-End Benchmark for Web-based Data Science
  22. ICLR 2026WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents
  23. ICLR 2026What's In My Human Feedback? Learning Interpretable Descriptions of Preference Data
  24. ICLR 2026When Bias Helps Learning: Bridging Initial Prejudice and Trainability
  25. ICLR 2026When Data is the Algorithm: A Systematic Study and Curation of Preference Optimization Datasets
  26. ICLR 2026When Large Multimodal Models Confront Evolving Knowledge: Challenges and Explorations
  27. ICLR 2026When Machine Learning Gets Personal: Evaluating Prediction and Explanation
  28. ICLR 2026When Shift Happens - Confounding Is to Blame
  29. ICLR 2026When Style Breaks Safety: Defending LLMs Against Superficial Style Alignment
  30. ICLR 2026When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling
  31. ICLR 2026When to use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
  32. ICLR 2026Why Adversarially Train Diffusion Models?
  33. ICLR 2026Why We Need New Benchmarks for Local Intrinsic Dimension Estimation
  34. ICLR 2026WideSearch: Benchmarking Agentic Broad Info-Seeking
  35. ICLR 2026Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values Prioritization with AIRiskDilemmas
  36. ICLR 2026Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning
  37. ICLR 2026WorldEdit: Towards Open-World Image Editing with a Knowledge-Informed Benchmark
  38. ICLR 2026WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs
  39. ICLR 2026XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models
  40. ICML 2026$\mu$pscaling small models: Principled warm starts and hyperparameter transfer
  41. ICML 2026A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets
  42. ICML 2026A Critical Look at Targeted Instruction Selection: Disentangling What Matters (and What Doesn’t)
  43. ICML 2026A Noise Sensitivity Exponent Controls Large Statistical-to-Computational Gaps in Single- and Multi-Index Models
  44. ICML 2026A Semantically Consistent Dataset for Data-Efficient Query-Based Universal Sound Separation
  45. ICML 2026A Strictly Proper Scoring Rule and a Calibration Metric for Interval-Censored Data Analysis
  46. ICML 2026A Studentized Spherical Harmonics–Based Nonparametric Two-Sample Test for Compositional and Directional Data
  47. ICML 2026A Systematic Study of Behavioral Cloning for Scientific Data Annotation
  48. ICML 2026Accuracy and Normalized Accuracy under Length Bias: Analysis, Guidelines, and a Bayesian Alternative
  49. ICML 2026Accurate Evaluation of Quickest Changepoint Detectors via Non-parametric Survival Analysis
  50. ICML 2026Activation Oracles: Training and Evaluating LLMs as General-Purpose Activation Explainers

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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