{"total":21,"rows":[{"id":"2105.03075","title":"A Survey of Data Augmentation Approaches for NLP","created":"2021-05-07","cited_by_count":409,"area":null},{"id":"2102.07033","title":"PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them","created":"2021-02-13","cited_by_count":200,"area":null},{"id":"2112.02807","title":"MDPFuzz: Testing Models Solving Markov Decision Processes","created":"2021-12-06","cited_by_count":12,"area":null},{"id":"2202.11345","title":"Prompt-Learning for Short Text Classification","created":"2022-02-23","cited_by_count":11,"area":null},{"id":"2101.06984","title":"Studying Catastrophic Forgetting in Neural Ranking Models","created":"2021-01-18","cited_by_count":9,"area":null},{"id":"2111.12447","title":"Revisiting Contextual Toxicity Detection in Conversations","created":"2021-11-24","cited_by_count":8,"area":null},{"id":"2206.13607","title":"Improved Text Classification via Test-Time Augmentation","created":"2022-06-27","cited_by_count":7,"area":null},{"id":"2209.01621","title":"Interactive Question Answering Systems: Literature Review","created":"2022-09-04","cited_by_count":7,"area":null},{"id":"2310.13505","title":"Robust Training for Conversational Question Answering Models with Reinforced Reformulation Generation","created":"2023-10-20","cited_by_count":7,"area":null},{"id":"2405.12630","title":"Exploration of Masked and Causal Language Modelling for Text Generation","created":"2024-05-21","cited_by_count":7,"area":null},{"id":"2201.06384","title":"Cyberbullying Classifiers are Sensitive to Model-Agnostic Perturbations","created":"2022-01-17","cited_by_count":5,"area":null},{"id":"2204.04711","title":"Data Augmentation for Biomedical Factoid Question Answering","created":"2022-04-10","cited_by_count":5,"area":null},{"id":"2201.03356","title":"Continual Learning of Long Topic Sequences in Neural Information Retrieval","created":"2022-01-10","cited_by_count":4,"area":null},{"id":"2109.09825","title":"Data Augmentation Methods for Anaphoric Zero Pronouns","created":"2021-09-20","cited_by_count":3,"area":null},{"id":"2509.21479","title":"Filtering with Confidence: When Data Augmentation Meets Conformal Prediction","created":"2025-09-25","cited_by_count":3,"area":null},{"id":"2207.01762","title":"PReGAN: Answer Oriented Passage Ranking with Weakly Supervised GAN","created":"2022-07-05","cited_by_count":2,"area":null},{"id":"2502.18841","title":"Sentiment Analysis of Movie Reviews Using BERT","created":"2025-02-26","cited_by_count":2,"area":null},{"id":"2509.26302","title":"QUARTZ : QA-based Unsupervised Abstractive Refinement for Task-oriented Dialogue Summarization","created":"2025-09-30","cited_by_count":2,"area":null},{"id":"2502.20682","title":"Fine-tuning BERT with Bidirectional LSTM for Fine-grained Movie Reviews Sentiment Analysis","created":"2025-02-28","cited_by_count":1,"area":null},{"id":"2304.04539","title":"UATTA-EB: Uncertainty-Aware Test-Time Augmented Ensemble of BERTs for Classifying Common Mental Illnesses on Social Media Posts","created":"2023-04-10","cited_by_count":0,"area":null},{"id":"2305.18023","title":"Abstractive Summarization as Augmentation for Document-Level Event Detection","created":"2023-05-29","cited_by_count":0,"area":null}],"next_cursor":null}