 NoiseQA: Challenge Set Evaluation for User-Centric Question AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
 Text Compression-aided Transformer EncodingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 |
 Model Agnostic Answer Reranking System for Adversarial Question
AnsweringConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
 On Robustness of Neural Semantic ParsersConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
 Do Question Answering Modeling Improvements Hold Across Benchmarks?Annual Meeting of the Association for Computational Linguistics (ACL), 2021 |
 Measuring and Improving Consistency in Pretrained Language ModelsTransactions of the Association for Computational Linguistics (TACL), 2021 |
 Unanswerable Questions about Images and TextsFrontiers in Artificial Intelligence (FAI), 2020 |
 Adv-OLM: Generating Textual Adversaries via OLMConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 |
 Mitigating the Position Bias of Transformer Models in Passage Re-RankingEuropean Conference on Information Retrieval (ECIR), 2021 |
 Robustness Gym: Unifying the NLP Evaluation LandscapeNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 |
 NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons
LearnedNeural Information Processing Systems (NeurIPS), 2021 |
 Promoting Graph Awareness in Linearized Graph-to-Text GenerationFindings (Findings), 2020 |
 Coreference Reasoning in Machine Reading ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 DynaSent: A Dynamic Benchmark for Sentiment AnalysisAnnual Meeting of the Association for Computational Linguistics (ACL), 2020 |
 Explaining NLP Models via Minimal Contrastive Editing (MiCE)Findings (Findings), 2020 |
 Learning from others' mistakes: Avoiding dataset biases without modeling
themInternational Conference on Learning Representations (ICLR), 2020 |
 What do we expect from Multiple-choice QA Systems?Findings (Findings), 2020 |
 On the Transferability of Adversarial Attacksagainst Neural Text
ClassifierConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Golden Grain: Building a Secure and Decentralized Model Marketplace for
MLaaSIEEE Transactions on Dependable and Secure Computing (TDSC), 2020 |
 Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of
Reasoning StepsInternational Conference on Computational Linguistics (COLING), 2020 |
 Leveraging Extracted Model Adversaries for Improved Black Box AttacksBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2020 |
 Commonsense knowledge adversarial dataset that challenges ELECTRAInternational Conference on Control, Automation, Robotics and Vision (ICARCV), 2020 |
 CoCo: Controllable Counterfactuals for Evaluating Dialogue State
TrackersInternational Conference on Learning Representations (ICLR), 2020 |
 Posterior Differential Regularization with f-divergence for Improving
Model RobustnessNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020 |
 ConjNLI: Natural Language Inference Over Conjunctive SentencesConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
 Towards Interpreting BERT for Reading Comprehension Based QAConference on Empirical Methods in Natural Language Processing (EMNLP), 2020 |
