robustness evaluation

TETRIS: Towards Exploring the Robustness of Interactive Segmentation AAAI 2024 Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models EACL 2024 ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations EMNLP 2024 Typos that Broke the RAG’s Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations EMNLP 2024 ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models EMNLP 2023 Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors EMNLP 2023 Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models NeurIPS 2023 COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts ICCV 2023 Cross-Modal Attribute Insertions for Assessing the Robustness of Vision-and-Language Learning ACL 2023 Evaluating Robustness and Uncertainty of Graph Models Under Structural Distributional Shifts NeurIPS 2023 From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework ACL 2023 GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-Distribution Generalization Perspective ACL 2023 How Fragile is Relation Extraction under Entity Replacements? CoNLL 2023 INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations EMNLP 2023 Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning ACL 2023 Neural Image Compression: Generalization, Robustness, and Spectral Biases NeurIPS 2023 PointCA: Evaluating the Robustness of 3D Point Cloud Completion Models against Adversarial Examples AAAI 2023 Preserving Knowledge Invariance: Rethinking Robustness Evaluation of Open Information Extraction EMNLP 2023 ReCode: Robustness Evaluation of Code Generation Models ACL 2023 Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles AAAI 2023 Rethinking Document-Level Relation Extraction: A Reality Check ACL 2023 RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations ACL 2023 RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering EMNLP 2023 RVCL: Evaluating the Robustness of Contrastive Learning via Verification JMLR 2023 SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability ICCV 2023