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

18 papers, page 1 of 1

1. NeurIPS 2026ActionUNet: Improving Robustness of VLA Models with Efficient Multi-scale Fine-tuning
2. NeurIPS 2026Aligning Language Model Benchmarks with Pairwise Preferences
3. NeurIPS 2026Assessing the robustness of heterogeneous treatment effects in survival analysis under informative censoring
4. NeurIPS 2026Benchmarks Design under Data Scarcity: From Coarse Labels to Diagnostic Evaluation of Biosynthetic Gene Cluster Models
5. NeurIPS 2026Brittlebench: Quantifying LLM robustness via prompt sensitivity
6. NeurIPS 2026Control First, Robustness Next: Decoupled Representation Learning for Visual RL Generalization
7. NeurIPS 2026CREF: Forecasting Benchmarks for the Age of Agents
8. NeurIPS 2026Cross-Dialect Generalization Without Retraining: Benchmarks and Evaluation of Schema-Derived Constrained Decoding for MLIR
9. NeurIPS 2026Do Robust LVLMs Hallucinate More? Uncovering Robustness-Induced Hallucination in Large Vision-Language Models
10. NeurIPS 2026FusionAudit: Pathway-Conditioned Robustness Auditing for Native Multimodal Models
11. NeurIPS 2026Orthogonal Origin Parking: Decoupling Lorentz Manifolds for Robust OOD Generalization
12. NeurIPS 2026Recovering Clean Evaluation Metrics from Contaminated Benchmarks
13. NeurIPS 2026Strategic Evaluation: Incentivizing AI Capability Coverage with Private Benchmarks
14. NeurIPS 2026Stress-Testing Neural Network Verifiers with Provably Robust Instances
15. NeurIPS 2026SynDORBench: Evaluating LVLM Perceptual Robustness Under Physically Constrained Visibility Conditions
16. NeurIPS 2026The Labeling Problem in Hallucination Detection Benchmarks: An Empirical Evaluation
17. NeurIPS 2026Variational Cover Modification Steganography
18. NeurIPS 2026We Need to Improve Benchmarks in AI for Mathematics

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.