adversarial evaluation

Interpreting the Robustness of Neural NLP Models to Textual Perturbations ACL 2022 Probing the Robustness of Trained Metrics for Conversational Dialogue Systems ACL 2022 An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model EMNLP 2021 Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization EMNLP 2021 Assessing the Generalization Capacity of Pre-trained Language Models through Japanese Adversarial Natural Language Inference EMNLP 2021 Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics EMNLP 2021 Generative Context Pair Selection for Multi-hop Question Answering EMNLP 2021 Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation EMNLP 2021 WinoGrande: An Adversarial Winograd Schema Challenge at Scale AAAI 2020 Analyzing Compositionality-Sensitivity of NLI Models AAAI 2019 Inoculation by Fine-Tuning: A Method for Analyzing Challenge Datasets NAACL 2019 Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation EMNLP 2019 Probing Neural Network Comprehension of Natural Language Arguments ACL 2019 Rigorous Agent Evaluation: An Adversarial Approach to Uncover Catastrophic Failures ICLR 2019 Adversarial Evaluation of Multimodal Machine Translation EMNLP 2018 Adversarial TableQA: Attention Supervision for Question Answering on Tables ACML 2018 Trick Me If You Can: Adversarial Writing of Trivia Challenge Questions ACL 2018 Adversarial Examples for Evaluating Reading Comprehension Systems EMNLP 2017