{"list":"other","total":54,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"1910.13461","title":"BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension","created":"2019-10-29","cited_by_count":5893},{"id":"1512.00567","title":"Rethinking the Inception Architecture for Computer Vision","created":"2015-12-02","cited_by_count":5475},{"id":"1312.6199","title":"Intriguing properties of neural networks","created":"2013-12-21","cited_by_count":5155},{"id":"1409.3215","title":"Sequence to Sequence Learning with Neural Networks","created":"2014-09-10","cited_by_count":2986},{"id":"1904.09751","title":"The Curious Case of Neural Text Degeneration","created":"2019-04-22","cited_by_count":2916},{"id":"2010.11934","title":"mT5: A massively multilingual pre-trained text-to-text transformer","created":"2020-10-22","cited_by_count":1818},{"id":"1904.01038","title":"fairseq: A Fast, Extensible Toolkit for Sequence Modeling","created":"2019-04-01","cited_by_count":1488},{"id":"1510.03055","title":"A Diversity-Promoting Objective Function for Neural Conversation Models","created":"2015-10-11","cited_by_count":1077},{"id":"1511.06709","title":"Improving Neural Machine Translation Models with Monolingual Data","created":"2015-11-20","cited_by_count":788},{"id":"1908.07125","title":"Universal Adversarial Triggers for Attacking and Analyzing NLP","created":"2019-08-20","cited_by_count":722},{"id":"1707.07328","title":"Adversarial Examples for Evaluating Reading Comprehension Systems","created":"2017-07-23","cited_by_count":571},{"id":"1802.06901","title":"Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement","created":"2018-02-19","cited_by_count":195},{"id":"1710.11342","title":"Generating Natural Adversarial Examples","created":"2017-10-31","cited_by_count":183},{"id":"2005.12592","title":"GECToR -- Grammatical Error Correction: Tag, Not Rewrite","created":"2020-05-26","cited_by_count":177},{"id":"1804.07755","title":"Phrase-Based & Neural Unsupervised Machine Translation","created":"2018-04-20","cited_by_count":138},{"id":"2102.00650","title":"Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective","created":"2021-02-01","cited_by_count":119},{"id":"2106.03830","title":"A Simple Recipe for Multilingual Grammatical Error Correction","created":"2021-06-07","cited_by_count":108},{"id":"1909.01187","title":"Encode, Tag, Realize: High-Precision Text Editing","created":"2019-09-03","cited_by_count":99},{"id":"1702.04066","title":"JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction","created":"2017-02-14","cited_by_count":97},{"id":"1910.02893","title":"Parallel Iterative Edit Models for Local Sequence Transduction","created":"2019-10-07","cited_by_count":81},{"id":"2106.06600","title":"Break-It-Fix-It: Unsupervised Learning for Program Repair","created":"2021-06-11","cited_by_count":71},{"id":"2107.13541","title":"Towards Robustness Against Natural Language Word Substitutions","created":"2021-07-28","cited_by_count":69},{"id":"2005.00987","title":"Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction","created":"2020-05-03","cited_by_count":59},{"id":"2009.11136","title":"Seq2Edits: Sequence Transduction Using Span-level Edit Operations","created":"2020-09-23","cited_by_count":58},{"id":"1804.05940","title":"Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task","created":"2018-04-16","cited_by_count":56},{"id":"2108.12777","title":"Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution","created":"2021-08-29","cited_by_count":56},{"id":"1909.00502","title":"An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction","created":"2019-09-02","cited_by_count":55},{"id":"1904.05780","title":"Corpora Generation for Grammatical Error Correction","created":"2019-04-10","cited_by_count":53},{"id":"2106.04970","title":"Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding","created":"2021-06-09","cited_by_count":53},{"id":"1903.00138","title":"Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data","created":"2019-03-01","cited_by_count":50},{"id":"1801.08831","title":"A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction","created":"2018-01-26","cited_by_count":36},{"id":"2005.11849","title":"Stronger Baselines for Grammatical Error Correction Using Pretrained Encoder-Decoder Model","created":"2020-05-24","cited_by_count":33},{"id":"2109.06822","title":"LM-Critic: Language Models for Unsupervised Grammatical Error Correction","created":"2021-09-14","cited_by_count":33},{"id":"1910.00353","title":"Grammatical Error Correction in Low-Resource Scenarios","created":"2019-10-01","cited_by_count":28},{"id":"1605.02592","title":"GLEU Without Tuning","created":"2016-05-09","cited_by_count":24},{"id":"2108.12139","title":"Dealing with Typos for BERT-based Passage Retrieval and Ranking","created":"2021-08-27","cited_by_count":23},{"id":"1711.04903","title":"Robust Multilingual Part-of-Speech Tagging via Adversarial Training","created":"2017-11-14","cited_by_count":21},{"id":"2104.05507","title":"BART based semantic correction for Mandarin automatic speech recognition system","created":"2021-03-26","cited_by_count":20},{"id":"2106.01609","title":"Tail-to-Tail Non-Autoregressive Sequence Prediction for Chinese Grammatical Error Correction","created":"2021-06-03","cited_by_count":19},{"id":"1603.09727","title":"Neural Language Correction with Character-Based Attention","created":"2016-03-31","cited_by_count":18},{"id":"1911.02825","title":"Improving Grammatical Error Correction with Machine Translation Pairs","created":"2019-11-07","cited_by_count":17},{"id":"2005.06600","title":"A Comprehensive Survey of Grammar Error Correction","created":"2020-05-02","cited_by_count":17},{"id":"2201.05590","title":"Czech Grammar Error Correction with a Large and Diverse Corpus","created":"2022-01-14","cited_by_count":17},{"id":"1707.02026","title":"A Nested Attention Neural Hybrid Model for Grammatical Error Correction","created":"2017-07-07","cited_by_count":12},{"id":"1810.00668","title":"Wronging a Right: Generating Better Errors to Improve Grammatical Error Detection","created":"2018-09-26","cited_by_count":11},{"id":"2108.07493","title":"A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems","created":"2021-08-17","cited_by_count":11},{"id":"2104.07848","title":"Comparison of Grammatical Error Correction Using Back-Translation Models","created":"2021-04-16","cited_by_count":9},{"id":"2103.14580","title":"Correcting Automated and Manual Speech Transcription Errors using Warped Language Models","created":"2021-03-26","cited_by_count":8},{"id":"2106.03031","title":"Do Grammatical Error Correction Models Realize Grammatical Generalization?","created":"2021-06-06","cited_by_count":6},{"id":"2310.07299","title":"RobustGEC: Robust Grammatical Error Correction Against Subtle Context Perturbation","created":"2023-10-11","cited_by_count":6},{"id":"2111.03294","title":"A Syntax-Guided Grammatical Error Correction Model with Dependency Tree Correction","created":"2021-11-05","cited_by_count":4},{"id":"1811.01710","title":"Weakly Supervised Grammatical Error Correction using Iterative Decoding","created":"2018-10-31","cited_by_count":3}],"next_cursor":null}