{"list":"other","total":87,"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":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"1910.10683","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","created":"2019-10-23","cited_by_count":14599},{"id":"2002.05709","title":"A Simple Framework for Contrastive Learning of Visual Representations","created":"2020-02-13","cited_by_count":12049},{"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":"2203.00667","title":"Generative Adversarial Networks","created":"2022-03-01","cited_by_count":5627},{"id":"1904.09675","title":"BERTScore: Evaluating Text Generation with BERT","created":"2019-04-21","cited_by_count":5512},{"id":"2204.02311","title":"PaLM: Scaling Language Modeling with Pathways","created":"2022-04-05","cited_by_count":5326},{"id":"1409.0473","title":"Neural Machine Translation by Jointly Learning to Align and Translate","created":"2014-09-01","cited_by_count":4548},{"id":"1406.1078","title":"Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation","created":"2014-06-03","cited_by_count":4057},{"id":"2109.01652","title":"Finetuned Language Models Are Zero-Shot Learners","created":"2021-09-03","cited_by_count":3780},{"id":"2205.01068","title":"OPT: Open Pre-trained Transformer Language Models","created":"2022-05-02","cited_by_count":3512},{"id":"1310.4546","title":"Distributed Representations of Words and Phrases and their Compositionality","created":"2013-10-16","cited_by_count":3474},{"id":"1409.3215","title":"Sequence to Sequence Learning with Neural Networks","created":"2014-09-10","cited_by_count":2986},{"id":"2107.13586","title":"Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing","created":"2021-07-28","cited_by_count":2234},{"id":"2110.08207","title":"Multitask Prompted Training Enables Zero-Shot Task Generalization","created":"2021-10-15","cited_by_count":1470},{"id":"1511.06709","title":"Improving Neural Machine Translation Models with Monolingual Data","created":"2015-11-20","cited_by_count":788},{"id":"2004.10643","title":"Universal Dependencies v2: An Evergrowing Multilingual Treebank Collection","created":"2020-04-22","cited_by_count":271},{"id":"2005.12592","title":"GECToR -- Grammatical Error Correction: Tag, Not Rewrite","created":"2020-05-26","cited_by_count":177},{"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":"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":"2109.07020","title":"Frequency Effects on Syntactic Rule Learning in Transformers","created":"2021-09-14","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":"2105.13318","title":"Synthetic Data Generation for Grammatical Error Correction with Tagged Corruption Models","created":"2021-05-27","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":"1611.02344","title":"A Convolutional Encoder Model for Neural Machine Translation","created":"2016-11-07","cited_by_count":54},{"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":"2008.07772","title":"Very Deep Transformers for Neural Machine Translation","created":"2020-08-18","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":"2204.10994","title":"MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction","created":"2022-04-23","cited_by_count":33},{"id":"2210.12484","title":"SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser","created":"2022-10-22","cited_by_count":32},{"id":"1910.00353","title":"Grammatical Error Correction in Low-Resource Scenarios","created":"2019-10-01","cited_by_count":28},{"id":"1806.01170","title":"Efficient Online Scalar Annotation with Bounded Support","created":"2018-06-04","cited_by_count":27},{"id":"1907.01256","title":"A Neural Grammatical Error Correction System Built On Better Pre-training and Sequential Transfer Learning","created":"2019-07-02","cited_by_count":26},{"id":"2008.02976","title":"Data Weighted Training Strategies for Grammatical Error Correction","created":"2020-08-07","cited_by_count":26},{"id":"2010.03260","title":"Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction","created":"2020-10-07","cited_by_count":24},{"id":"1911.12893","title":"GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors","created":"2019-11-28","cited_by_count":22},{"id":"2109.08068","title":"Automatic Error Type Annotation for Arabic","created":"2021-09-16","cited_by_count":21},{"id":"2205.11484","title":"Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond","created":"2022-05-23","cited_by_count":20},{"id":"2103.16997","title":"UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language","created":"2021-03-31","cited_by_count":19},{"id":"1603.09727","title":"Neural Language Correction with Character-Based Attention","created":"2016-03-31","cited_by_count":18},{"id":"1610.02124","title":"There's No Comparison: Reference-less Evaluation Metrics in Grammatical Error Correction","created":"2016-10-07","cited_by_count":18},{"id":"1804.11225","title":"Automatic Metric Validation for Grammatical Error Correction","created":"2018-04-30","cited_by_count":17},{"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":"1607.06153","title":"Compositional Sequence Labeling Models for Error Detection in Learner Writing","created":"2016-07-20","cited_by_count":16},{"id":"2010.07574","title":"Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses","created":"2020-10-15","cited_by_count":16},{"id":"1804.11254","title":"Inherent Biases in Reference based Evaluation for Grammatical Error Correction and Text Simplification","created":"2018-04-30","cited_by_count":15},{"id":"1906.06593","title":"Context is Key: Grammatical Error Detection with Contextual Word Representations","created":"2019-06-15","cited_by_count":14},{"id":"2203.07085","title":"Interpretability for Language Learners Using Example-Based Grammatical Error Correction","created":"2022-03-14","cited_by_count":13},{"id":"1707.02026","title":"A Nested Attention Neural Hybrid Model for Grammatical Error Correction","created":"2017-07-07","cited_by_count":12},{"id":"2203.13064","title":"Ensembling and Knowledge Distilling of Large Sequence Taggers for Grammatical Error Correction","created":"2022-03-24","cited_by_count":12},{"id":"1707.05236","title":"Artificial Error Generation with Machine Translation and Syntactic Patterns","created":"2017-07-17","cited_by_count":11},{"id":"2010.11032","title":"Classifying Syntactic Errors in Learner Language","created":"2020-10-21","cited_by_count":11},{"id":"2105.04443","title":"Neural Quality Estimation with Multiple Hypotheses for Grammatical Error Correction","created":"2021-05-10","cited_by_count":11},{"id":"2006.02964","title":"Personalizing Grammatical Error Correction: Adaptation to Proficiency Level and L1","created":"2020-06-04","cited_by_count":10},{"id":"1804.03824","title":"Reference-less Measure of Faithfulness for Grammatical Error Correction","created":"2018-04-11","cited_by_count":9},{"id":"1906.03897","title":"Learning to combine Grammatical Error Corrections","created":"2019-06-10","cited_by_count":9},{"id":"2104.07848","title":"Comparison of Grammatical Error Correction Using Back-Translation Models","created":"2021-04-16","cited_by_count":9},{"id":"2203.09136","title":"Type-Driven Multi-Turn Corrections for Grammatical Error Correction","created":"2022-03-17","cited_by_count":9},{"id":"1605.06353","title":"Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction","created":"2016-05-20","cited_by_count":8},{"id":"1907.08889","title":"The Unbearable Weight of Generating Artificial Errors for Grammatical Error Correction","created":"2019-07-21","cited_by_count":8},{"id":"2010.03155","title":"A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction","created":"2020-10-07","cited_by_count":8},{"id":"1906.01733","title":"The Unreasonable Effectiveness of Transformer Language Models in Grammatical Error Correction","created":"2019-06-04","cited_by_count":7},{"id":"2111.01465","title":"System Combination for Grammatical Error Correction Based on Integer Programming","created":"2021-11-02","cited_by_count":7},{"id":"1804.05945","title":"Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation","created":"2018-04-16","cited_by_count":6},{"id":"1903.10625","title":"Neural Grammatical Error Correction with Finite State Transducers","created":"2019-03-25","cited_by_count":6},{"id":"1904.02927","title":"Cross-Corpora Evaluation and Analysis of Grammatical Error Correction Models --- Is Single-Corpus Evaluation Enough?","created":"2019-04-05","cited_by_count":6},{"id":"2104.02310","title":"SERRANT: a syntactic classifier for English Grammatical Error Types","created":"2021-04-06","cited_by_count":6},{"id":"2105.14209","title":"Grammatical Error Correction as GAN-like Sequence Labeling","created":"2021-05-29","cited_by_count":6},{"id":"2106.03031","title":"Do Grammatical Error Correction Models Realize Grammatical Generalization?","created":"2021-06-06","cited_by_count":6},{"id":"1606.00189","title":"Neural Network Translation Models for Grammatical Error Correction","created":"2016-06-01","cited_by_count":5},{"id":"1707.05227","title":"Auxiliary Objectives for Neural Error Detection Models","created":"2017-07-17","cited_by_count":4},{"id":"2010.02407","title":"Adversarial Grammatical Error Correction","created":"2020-10-06","cited_by_count":4},{"id":"1606.00210","title":"Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction","created":"2016-06-01","cited_by_count":3},{"id":"2110.15149","title":"Diversity-Driven Combination for Grammatical Error Correction","created":"2021-10-28","cited_by_count":3},{"id":"2112.08466","title":"ErAConD : Error Annotated Conversational Dialog Dataset for Grammatical Error Correction","created":"2021-12-15","cited_by_count":2}],"next_cursor":null}