{"total":41,"rows":[{"id":"2106.07499","title":"An Empirical Survey of Data Augmentation for Limited Data Learning in NLP","created":"2021-06-14","cited_by_count":101,"area":null},{"id":"2107.07150","title":"Tailor: Generating and Perturbing Text with Semantic Controls","created":"2021-07-15","cited_by_count":68,"area":null},{"id":"2101.10579","title":"Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs","created":"2021-01-26","cited_by_count":45,"area":null},{"id":"2305.12947","title":"ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness","created":"2023-05-22","cited_by_count":41,"area":null},{"id":"2310.05280","title":"Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems","created":"2023-10-08","cited_by_count":37,"area":null},{"id":"2203.10940","title":"Quality Controlled Paraphrase Generation","created":"2022-03-21","cited_by_count":31,"area":null},{"id":"2305.16635","title":"Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing","created":"2023-05-26","cited_by_count":31,"area":null},{"id":"2203.09100","title":"PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation","created":"2022-03-17","cited_by_count":30,"area":null},{"id":"2210.04873","title":"CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation","created":"2022-10-10","cited_by_count":24,"area":null},{"id":"2105.15053","title":"Factorising Meaning and Form for Intent-Preserving Paraphrasing","created":"2021-05-31","cited_by_count":22,"area":null},{"id":"2203.03463","title":"Hierarchical Sketch Induction for Paraphrase Generation","created":"2022-03-07","cited_by_count":22,"area":null},{"id":"2207.09542","title":"Controllable Data Generation by Deep Learning: A Review","created":"2022-07-19","cited_by_count":20,"area":null},{"id":"2206.05395","title":"Why is constrained neural language generation particularly challenging?","created":"2022-06-11","cited_by_count":19,"area":null},{"id":"2405.15604","title":"Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges","created":"2024-05-24","cited_by_count":18,"area":null},{"id":"2106.00210","title":"Improving Formality Style Transfer with Context-Aware Rule Injection","created":"2021-06-01","cited_by_count":13,"area":null},{"id":"2109.00363","title":"ConRPG: Paraphrase Generation using Contexts as Regularizer","created":"2021-09-01","cited_by_count":13,"area":null},{"id":"2110.10185","title":"GenNI: Human-AI Collaboration for Data-Backed Text Generation","created":"2021-10-19","cited_by_count":11,"area":null},{"id":"2304.11501","title":"Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation","created":"2023-04-23","cited_by_count":10,"area":null},{"id":"2403.16038","title":"Monotonic Paraphrasing Improves Generalization of Language Model Prompting","created":"2024-03-24","cited_by_count":10,"area":null},{"id":"2106.11791","title":"Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication","created":"2021-06-22","cited_by_count":9,"area":null},{"id":"2210.03235","title":"Improving Large-scale Paraphrase Acquisition and Generation","created":"2022-10-06","cited_by_count":8,"area":null},{"id":"2305.03276","title":"Expository Text Generation: Imitate, Retrieve, Paraphrase","created":"2023-05-05","cited_by_count":8,"area":null},{"id":"2306.11485","title":"Explicit Syntactic Guidance for Neural Text Generation","created":"2023-06-20","cited_by_count":8,"area":null},{"id":"2109.01484","title":"Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation","created":"2021-09-03","cited_by_count":6,"area":null},{"id":"2205.12213","title":"Principled Paraphrase Generation with Parallel Corpora","created":"2022-05-24","cited_by_count":5,"area":null},{"id":"2101.08248","title":"Data-to-text Generation by Splicing Together Nearest Neighbors","created":"2021-01-20","cited_by_count":4,"area":null},{"id":"2211.00881","title":"Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations","created":"2022-11-02","cited_by_count":4,"area":null},{"id":"2310.14863","title":"Paraphrase Types for Generation and Detection","created":"2023-10-23","cited_by_count":4,"area":null},{"id":"2406.14164","title":"A Data-Driven Guided Decoding Mechanism for Diagnostic Captioning","created":"2024-06-20","cited_by_count":4,"area":null},{"id":"2109.12457","title":"Learning to Selectively Learn for Weakly-supervised Paraphrase Generation","created":"2021-09-25","cited_by_count":3,"area":null},{"id":"2203.10483","title":"Entailment Relation Aware Paraphrase Generation","created":"2022-03-20","cited_by_count":3,"area":null},{"id":"2205.05943","title":"Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEs","created":"2022-05-12","cited_by_count":3,"area":null},{"id":"2506.07154","title":"Syntactic Control of Language Models by Posterior Inference","created":"2025-06-08","cited_by_count":3,"area":null},{"id":"2310.18357","title":"Leveraging Large Language Models for Enhanced Product Descriptions in eCommerce","created":"2023-10-24","cited_by_count":2,"area":null},{"id":"2305.09287","title":"Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime","created":"2023-05-16","cited_by_count":1,"area":null},{"id":"2310.13262","title":"A Quality-based Syntactic Template Retriever for Syntactically-controlled Paraphrase Generation","created":"2023-10-20","cited_by_count":1,"area":null},{"id":"2410.24199","title":"Linguistically-Controlled Paraphrase Generation","created":"2024-10-31","cited_by_count":1,"area":null},{"id":"2109.02950","title":"Paraphrase Generation as Unsupervised Machine Translation","created":"2021-09-07","cited_by_count":0,"area":null},{"id":"2310.14486","title":"Text Fact Transfer","created":"2023-10-23","cited_by_count":0,"area":null},{"id":"2405.11277","title":"Action Controlled Paraphrasing","created":"2024-05-18","cited_by_count":0,"area":null},{"id":"2509.24101","title":"BTC-SAM: Leveraging LLMs for Generation of Bias Test Cases for Sentiment Analysis Models","created":"2025-09-28","cited_by_count":0,"area":null}],"next_cursor":null}