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model robustness

478 papers

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adversarial attack (1599) adversarial training (1261) adversarial robustness (1335) text classification (6776) adversarial example (563) data augmentation (3037) large language model (12755) adversarial learning (1592) natural language processing (2027) domain generalization (1517)

Papers

When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models EMNLP 2025
FREE: Fast and Robust Vision Language Models with Early Exits ACL 2025
Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination ICCV 2025
AUTE: Peer-Alignment and Self-Unlearning Boost Adversarial Robustness for Training Ensemble Models AAAI 2025
Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks COLING 2025
Training Verification-Friendly Neural Networks via Neuron Behavior Consistency AAAI 2025
An Automatic Method to Estimate Correctness of RAG COLING 2025
ERAS: Evaluating the Robustness of Chinese NLP Models to Morphological Garden Path Errors NAACL 2025
FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling ICCV 2025
Battling Misinformation: An Empirical Study on Adversarial Factuality in Open-Source Large Language Models NAACL 2025
YNU-HPCC at SemEval-2025 Task 6: Using BERT Model with R-drop for Promise Verification SEMEVAL 2025
Generalization of Graph Neural Networks Is Robust to Model Mismatch AAAI 2025
Does Training on Synthetic Data Make Models Less Robust? NAACL 2025
Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025
Benchmarking Multimodal Large Language Models Against Image Corruptions ICCV 2025
Close or Cloze? Assessing the Robustness of Large Language Models to Adversarial Perturbations via Word Recovery COLING 2025
Quantification of Large Language Model Distillation ACL 2025
E-Bench: Towards Evaluating the Ease-of-Use of Large Language Models COLING 2025
Pandora’s Box or Aladdin’s Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language Models ACL 2025
Large Learning Rates Simultaneously Achieve Robustness to Spurious Correlations and Compressibility ICCV 2025
Stepwise Reasoning Disruption Attack of LLMs ACL 2025
Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages NAACL 2025
Diversity-oriented Data Augmentation with Large Language Models ACL 2025
Human-in-the-Loop Generation of Adversarial Texts: A Case Study on Tibetan Script IJCNLP 2025