鲁棒基准论文趋势 2023–2026

分布外评测

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 264 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

鲁棒基准论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023122914964
2024161816959
2025341020872
20261815241269

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

全部鲁棒基准论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 80 篇，第 2 / 2 页

  1. NeurIPS 2025Vulnerable Data-Aware Adversarial Training
  2. NeurIPS 2025XIFBench: Evaluating Large Language Models on Multilingual Instruction Following
  3. NeurIPS 2024A Sober Look at the Robustness of CLIPs to Spurious Features
  4. NeurIPS 2024A StrongREJECT for Empty Jailbreaks
  5. NeurIPS 2024Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
  6. NeurIPS 2024An Analysis of Robustness of Non-Lipschitz Networks
  7. NeurIPS 2024BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices
  8. NeurIPS 2024FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
  9. NeurIPS 2024GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
  10. NeurIPS 2024Improving robustness to corruptions with multiplicative weight perturbations
  11. NeurIPS 2024Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling
  12. NeurIPS 2024JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
  13. NeurIPS 2024Mitigating Spurious Correlations via Disagreement Probability
  14. NeurIPS 2024On the Worst Prompt Performance of Large Language Models
  15. NeurIPS 2024Predicting the Performance of Foundation Models via Agreement-on-the-Line
  16. NeurIPS 2024Provable Editing of Deep Neural Networks using Parametric Linear Relaxation
  17. NeurIPS 2024TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases
  18. NeurIPS 2024The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
  19. NeurIPS 2023Color Equivariant Convolutional Networks
  20. NeurIPS 2023DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
  21. NeurIPS 2023Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
  22. NeurIPS 2023Extensible Prompts for Language Models on Zero-shot Language Style Customization
  23. NeurIPS 2023Improving Adversarial Robustness via Information Bottleneck Distillation
  24. NeurIPS 2023Improving Robustness with Adaptive Weight Decay
  25. NeurIPS 2023Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations
  26. NeurIPS 2023Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
  27. NeurIPS 2023RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
  28. NeurIPS 2023Robust Data Valuation with Weighted Banzhaf Values
  29. NeurIPS 2023RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
  30. NeurIPS 2023Towards Last-layer Retraining for Group Robustness with Fewer Annotations

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 查鲁棒基准在 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": "robustness-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鲁棒基准论文？
共 264 篇，按年份分别是 2023 年 64 篇、2024 年 59 篇、2025 年 72 篇、2026 年 69 篇。
NeurIPS 2026 有多少篇鲁棒基准论文？
NeurIPS 2026 有 18 篇鲁棒基准论文，上一届是 34 篇。
ICLR 2026 有多少篇鲁棒基准论文？
ICLR 2026 有 15 篇鲁棒基准论文，上一届是 10 篇。
ICML 2026 有多少篇鲁棒基准论文？
ICML 2026 有 24 篇鲁棒基准论文，上一届是 20 篇。
CVPR 2026 有多少篇鲁棒基准论文？
CVPR 2026 有 12 篇鲁棒基准论文，上一届是 8 篇。
哪个会议的鲁棒基准论文最多？
NeurIPS，2023–2026 年共 80 篇。

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