Robustness Benchmarks papers, 2023–2026

Key findings

• Robustness Benchmarks went from 64 papers in 2023 to 69 in 2026, roughly 1.1x in three years.
• NeurIPS publishes the most Robustness Benchmarks work: 80 papers from 2023 to 2026, 30% of the four-venue total.
• The fastest-growing overlap is with General ML · evaluation: papers tagged with both rose from 0 in 2023 to 8 in 2026.
• Among the 5 topics under Evaluation and Benchmarks, it ranks #4 by 2026 paper count; the fastest grower in the group, LLM Benchmarks, is up 154x versus 1.1x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026Brittlebench: Quantifying LLM robustness via prompt sensitivity
• ICML 2026Geometrically Constrained Outlier Synthesis
• ICLR 2026Pitfalls in Evaluating Language Model Forecasters
• CVPR 2026FoV-Net Rotation-Invariant CAD B-rep Learning via Field-of-View Ray Casting
• NeurIPS 2025Aggregation Hides Out-of-Distribution Generalization Failures from Spurious Correlations
• ICML 2025Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
• ICLR 2025DRoP: Distributionally Robust Data Pruning
• CVPR 2025FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
• NeurIPS 2024An Analysis of Robustness of Non-Lipschitz Networks
• ICML 2024Controllable Prompt Tuning For Balancing Group Distributional Robustness
• ICLR 2024Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments
• CVPR 2024A Bayesian Approach to OOD Robustness in Image Classification
• NeurIPS 2023Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
• ICML 2023A Law of Robustness beyond Isoperimetry
• ICLR 2023A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification
• CVPR 2023Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions
• NeurIPS 2026Stress-Testing Neural Network Verifiers with Provably Robust Instances
• ICML 2026Optimal Attention Temperature Improves the Robustness of In-Context Learning under Distribution Shift in High Dimensions
• ICLR 2026CLARC: C/C++ Benchmark for Robust Code Search
• CVPR 2026LIBERO-Plus A Progressive Robustness Benchmark for Visual-Language-Action Models

All Robustness Benchmarks papers

80 papers, page 2 of 2

51. NeurIPS 2025Vulnerable Data-Aware Adversarial Training
52. NeurIPS 2025XIFBench: Evaluating Large Language Models on Multilingual Instruction Following
53. NeurIPS 2024A Sober Look at the Robustness of CLIPs to Spurious Features
54. NeurIPS 2024A StrongREJECT for Empty Jailbreaks
55. NeurIPS 2024Adaptive Randomized Smoothing: Certified Adversarial Robustness for Multi-Step Defences
56. NeurIPS 2024An Analysis of Robustness of Non-Lipschitz Networks
57. NeurIPS 2024BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices
58. NeurIPS 2024FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
59. NeurIPS 2024GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models
60. NeurIPS 2024Improving robustness to corruptions with multiplicative weight perturbations
61. NeurIPS 2024Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling
62. NeurIPS 2024JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
63. NeurIPS 2024Mitigating Spurious Correlations via Disagreement Probability
64. NeurIPS 2024On the Worst Prompt Performance of Large Language Models
65. NeurIPS 2024Predicting the Performance of Foundation Models via Agreement-on-the-Line
66. NeurIPS 2024Provable Editing of Deep Neural Networks using Parametric Linear Relaxation
67. NeurIPS 2024TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases
68. NeurIPS 2024The Group Robustness is in the Details: Revisiting Finetuning under Spurious Correlations
69. NeurIPS 2023Color Equivariant Convolutional Networks
70. NeurIPS 2023DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
71. NeurIPS 2023Evaluating Post-hoc Explanations for Graph Neural Networks via Robustness Analysis
72. NeurIPS 2023Extensible Prompts for Language Models on Zero-shot Language Style Customization
73. NeurIPS 2023Improving Adversarial Robustness via Information Bottleneck Distillation
74. NeurIPS 2023Improving Robustness with Adaptive Weight Decay
75. NeurIPS 2023Object Reprojection Error (ORE): Camera pose benchmarks from lightweight tracking annotations
76. NeurIPS 2023Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations
77. NeurIPS 2023RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
78. NeurIPS 2023Robust Data Valuation with Weighted Banzhaf Values
79. NeurIPS 2023RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
80. NeurIPS 2023Towards Last-layer Retraining for Group Robustness with Fewer Annotations

FAQ

How many Robustness Benchmarks papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

264 in total: 64 in 2023, 59 in 2024, 72 in 2025, 69 in 2026.

How many Robustness Benchmarks papers are at NeurIPS 2026?

NeurIPS 2026 has 18 Robustness Benchmarks papers, versus 34 the year before.

How many Robustness Benchmarks papers are at ICLR 2026?

ICLR 2026 has 15 Robustness Benchmarks papers, versus 10 the year before.

How many Robustness Benchmarks papers are at ICML 2026?

ICML 2026 has 24 Robustness Benchmarks papers, versus 20 the year before.

How many Robustness Benchmarks papers are at CVPR 2026?

CVPR 2026 has 12 Robustness Benchmarks papers, versus 8 the year before.

Which conference publishes the most Robustness Benchmarks papers?

NeurIPS, with 80 papers from 2023 to 2026.