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 29 / 40 页

  1. NeurIPS 2026AMUSE: Anytime Muon with Stable Gradient Evaluation
  2. NeurIPS 2026An Assessment of Human vs. Model Uncertainty in Soft-Label Learning and Calibration
  3. NeurIPS 2026An Axiomatic Analysis of DPO and NLHF as Reference-Dependent Probabilistic Voting Rules
  4. NeurIPS 2026An Embarrassingly Simple Graph Heuristic Reveals Shortcut-Solvable Benchmarks for Sequential Recommendation
  5. NeurIPS 2026An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence
  6. NeurIPS 2026An Open-Source Training Dataset for Foundation Models for Black-box Optimization
  7. NeurIPS 2026Anchored Protein Engineering
  8. NeurIPS 2026Answering At Any Cost: Frontier LLMs Are Consequence-Insensitive
  9. NeurIPS 2026AnyHand: A Large-Scale Synthetic Dataset for RGB(-D) Hand Pose Estimation
  10. NeurIPS 2026Anymotion: A Dataset, Benchmark, and Baseline for Controllable Human Motion Editing
  11. NeurIPS 2026Anytime-Valid Conformal Risk Control
  12. NeurIPS 2026AptaBench: A Benchmark for Aptamer-Small Molecule Binding
  13. NeurIPS 2026Are Multimodal Benchmarks Really Useful? Item-Level Multimodal Benchmark Diagnosis via Structure-Response Co-Calibration
  14. NeurIPS 2026Arena-T2I Hard: Benchmarking and Improving Faithfulness with Dependency-Aware Checklist Rewards
  15. NeurIPS 2026As the Story Unfolds: Watching a Film and Identifying Characters as a Human Does
  16. NeurIPS 2026ASO Atlas 2.0: Evaluating antisense oligonucleotide prediction across the preclinical pipeline
  17. NeurIPS 2026AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents
  18. NeurIPS 2026Attention Drift: What Auto-Regressive Speculative Decoding Models Learn
  19. NeurIPS 2026Attention Sinks and Outliers in Attention Residuals
  20. NeurIPS 2026Auditing Attention Head Masking for Out-of-Distribution Detection: Cross-Architecture Wins, Failures, and Polarity Inversions
  21. NeurIPS 2026Auditing Conformal Prediction for Language Models Under Inference-Time Model Shift
  22. NeurIPS 2026Auditing Evidence Framing at NeurIPS: A Decade-Scale Study of Accepted Papers
  23. NeurIPS 2026Auditing Sabotage Bench: A Benchmark for Detecting and Fixing Research Sabotage in ML Codebases
  24. NeurIPS 2026AutoHoney: Automating, Deploying, and Evaluating Scheming Honeypots Across Production Codebases
  25. NeurIPS 2026Automotive-ENV: Benchmarking Multimodal Models in Automotive Cockpit Environments
  26. NeurIPS 2026Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds
  27. NeurIPS 2026AVENUE: Audio-Video Editing Understanding and Evaluation
  28. NeurIPS 2026AVSD: Adaptive-View Self-Distillation by Balancing Consensus and Teacher-Specific Privileged Signals
  29. NeurIPS 2026B-XAIC Dataset: Benchmarking Explainable AI for Graph Neural Networks Using Chemical Data
  30. NeurIPS 2026B2P-Corr: Batch-to-Population Gradient Estimators for Non-Decomposable Correlation Losses
  31. NeurIPS 2026Bandits via Additive Quantized Representations
  32. NeurIPS 2026BankerToolBench: Evaluating AI Agents in End-to-End Investment Banking Workflows
  33. NeurIPS 2026BasicLT: Basic-Level Abstraction and Selective Differentiation for Long-Tailed Recognition
  34. NeurIPS 2026BayesJudge: Uncertainty-Aware Bayesian Meta-Evaluation of Human and LLM Judgments
  35. NeurIPS 2026Bellman Contraction under MMD: A Unified Framework
  36. NeurIPS 2026Benchmark Shadows: How Data Regimes Shape Parameter Footprints and Generalization
  37. NeurIPS 2026Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs
  38. NeurIPS 2026Benchmarking and Optimizing Multimodal Structured Generation: The OracleGraph Dataset and PRISM Framework
  39. NeurIPS 2026Benchmarking Graph Self-Supervised Learning for Node-Level Tasks: Insights and Strong Baseline
  40. NeurIPS 2026Benchmarks Are Not Atomic: Composition-Aware LLM Evaluation using BenchHub
  41. NeurIPS 2026Benchmarks as Measurement Instruments: Quantifying Signal and Noise for More Efficient AI Evaluations Under Distribution Shift
  42. NeurIPS 2026Benchmarks Design under Data Scarcity: From Coarse Labels to Diagnostic Evaluation of Biosynthetic Gene Cluster Models
  43. NeurIPS 2026BenchRep-T: A Systematic Evaluation of T-Cell Repertoire-Based Disease Diagnostics
  44. NeurIPS 2026Beyond Fixed Benchmarks and Worst-Case Attacks: Dynamic Boundary Evaluation for Language Models
  45. NeurIPS 2026Beyond MNIST: Limitations of Amplitude Encoding on Quantum Classification
  46. NeurIPS 2026Beyond Spatial and Temporal Priors: A Generalizable Approach for Dense Correspondence Matching
  47. NeurIPS 2026Beyond the Training Distribution: Evaluating Predictions Under Distribution Shift and Selection Bias
  48. NeurIPS 2026Beyond Truthfulness: Evaluating Honesty in Large Language Models
  49. NeurIPS 2026BiLi: Bridging the Last Mile in LiDAR Localization
  50. NeurIPS 2026BrainEM: A Large-Scale and Diverse Benchmark for EM Neuron Segmentation in Connectomics

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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