Who cites «Adversarial Examples for Evaluating Reading Comprehension Systems» · page 3

579 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

Evaluating Neural Model Robustness for Machine Comprehension — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Evaluation Paradigms in Question Answering — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Explaining NLP Models via Minimal Contrastive Editing (MiCE) — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Explanation-Based Human Debugging of NLP Models: A Survey — 2021 · Transactions of the Association for Computational Linguistics
Exploring Strategies for Generalizable Commonsense Reasoning with Pre-trained Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
If You Want to Go Far Go Together: Unsupervised Joint Candidate Evidence Retrieval for Multi-hop Question Answering — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Improving Named Entity Recognition in Spoken Dialog Systems by Context and Speech Pattern Modeling — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
Improving Paraphrase Detection with the Adversarial Paraphrasing Task — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop
Increasing Robustness to Spurious Correlations using Forgettable Examples — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Influence Tuning: Demoting Spurious Correlations via Instance Attribution and Instance-Driven Updates — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension? — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Knowing More About Questions Can Help: Improving Calibration in Question Answering — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Learning to Perturb Word Embeddings for Out-of-distribution QA — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Learning with Instance Bundles for Reading Comprehension — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Measuring and Improving Consistency in Pretrained Language Models — 2021
Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Modeling Discriminative Representations for Out-of-Domain Detection with Supervised Contrastive Learning — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Multi-granularity Textual Adversarial Attack with Behavior Cloning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
NoiseQA: Challenge Set Evaluation for User-Centric Question Answering — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Numerical reasoning in machine reading comprehension tasks: are we there yet? — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
On Robustness of Neural Semantic Parsers — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
On the Interaction of Belief Bias and Explanations — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
On the Interplay Between Fine-tuning and Composition in Transformers — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
On the Robustness of Intent Classification and Slot Labeling in Goal-oriented Dialog Systems to Real-world Noise — 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI
On the Transferability of Adversarial Attacks against Neural Text Classifier — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
OpenAttack: An Open-source Textual Adversarial Attack Toolkit — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations
Posterior Differential Regularization with f-divergence for Improving Model Robustness — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Promoting Graph Awareness in Linearized Graph-to-Text Generation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Reliability Testing for Natural Language Processing Systems — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
Robust Question Answering Through Sub-part Alignment — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Robustness Analysis of Grover for Machine-Generated News Detection — 2021 · Proceedings of the 19th Annual Workshop of the Australasian Language Technology Association
Robustness Gym: Unifying the NLP Evaluation Landscape — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Demonstrations
Robustness and Adversarial Examples in Natural Language Processing — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
RockNER: A Simple Method to Create Adversarial Examples for Evaluating the Robustness of Named Entity Recognition Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Self-Supervised Test-Time Learning for Reading Comprehension — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Sensitivity as a Complexity Measure for Sequence Classification Tasks — 2021 · Transactions of the Association for Computational Linguistics
Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Sorting through the noise: Testing robustness of information processing in pre-trained language models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models — 2021 · Proceedings of the 6th Workshop on Representation Learning for NLP (RepL4NLP-2021)
Synthesizing Adversarial Negative Responses for Robust Response Ranking and Evaluation — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Synthetic Examples Improve Cross-Target Generalization: A Study on Stance Detection on a Twitter corpus. — 2021 · Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
Test Harder than You Train: Probing with Extrapolation Splits — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
Towards Improving Adversarial Training of NLP Models — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU models — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Universal Adversarial Attacks with Natural Triggers for Text Classification — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Why Machine Reading Comprehension Models Learn Shortcuts? — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
基于篇章结构攻击的阅读理解任务探究(Analysis of Reading Comprehension Tasks based on passage structure attacks) — 2021 · Proceedings of the 20th Chinese National Conference on Computational Linguistics
A Framework for Evaluation of Machine Reading Comprehension Gold Standards — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
A Wrong Answer or a Wrong Question? An Intricate Relationship between Question Reformulation and Answer Selection in Conversational Question Answering — 2020 · Proceedings of the 5th International Workshop on Search-Oriented Conversational AI (SCAI)
A guide to the dataset explosion in QA, NLI, and commonsense reasoning — our card · 2020 · Proceedings of the 28th International Conference on Computational Linguistics: Tutorial Abstracts
Advancing Seq2seq with Joint Paraphrase Learning — 2020 · Proceedings of the 3rd Clinical Natural Language Processing Workshop
Adversarial Augmentation Policy Search for Domain and Cross-Lingual Generalization in Reading Comprehension — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Adversarial Filters of Dataset Biases — 2020 · arXiv:2002.04108
Adversarial NLI: A New Benchmark for Natural Language Understanding — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Adversarial Semantic Decoupling for Recognizing Open-Vocabulary Slots — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Adversarial Subword Regularization for Robust Neural Machine Translation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
An empirical analysis of existing systems and datasets toward general simple question answering — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Are we Estimating or Guesstimating Translation Quality? — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Ask to Learn: A Study on Curiosity-driven Question Generation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Asking without Telling: Exploring Latent Ontologies in Contextual Representations — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Assessing Robustness of Text Classification through Maximal Safe Radius Computation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Assessing the ability of Transformer-based Neural Models to represent structurally unbounded dependencies — 2020 · Proceedings of the Society for Computation in Linguistics 2020
BERT-ATTACK: Adversarial Attack Against BERT Using BERT — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
BLEURT: Learning Robust Metrics for Text Generation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension — 2020
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models — 2020 · arXiv:2005.14709
CAT-Gen: Improving Robustness in NLP Models via Controlled Adversarial Text Generation — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
CharBERT: Character-aware Pre-trained Language Model — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
ConjNLI: Natural Language Inference Over Conjunctive Sentences — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Dataset Cartography: Mapping and Diagnosing Datasets with Training Dynamics — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications — 2020 · arXiv:2004.11142
End-to-End Bias Mitigation by Modelling Biases in Corpora — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Enhancing Transformer with Sememe Knowledge — 2020 · Proceedings of the 5th Workshop on Representation Learning for NLP
Evaluating Models' Local Decision Boundaries via Contrast Sets — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks — 2020 · Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
GenAug: Data Augmentation for Finetuning Text Generators — 2020 · Proceedings of Deep Learning Inside Out (DeeLIO): The First Workshop on Knowledge Extraction and Integration for Deep Learning Architectures
Generative Data Augmentation for Commonsense Reasoning — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Gradient-based Analysis of NLP Models is Manipulable — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Graph-Based Knowledge Integration for Question Answering over Dialogue — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
How Can We Accelerate Progress Towards Human-like Linguistic Generalization? — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Improving QA Generalization by Concurrent Modeling of Multiple Biases — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension — 2020 · Proceedings of the 24th Conference on Computational Natural Language Learning
Interpreting Predictions of NLP Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts
It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Learning Robust Models for e-Commerce Product Search — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually) — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

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