{"total":47,"rows":[{"id":"2104.06951","title":"Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey","created":"2021-04-14","cited_by_count":46,"area":null},{"id":"2407.11606","title":"The Foundations of Tokenization: Statistical and Computational Concerns","created":"2024-07-16","cited_by_count":22,"area":null},{"id":"2110.13434","title":"AVocaDo: Strategy for Adapting Vocabulary to Downstream Domain","created":"2021-10-26","cited_by_count":20,"area":null},{"id":"2112.03603","title":"Handwritten Mathematical Expression Recognition via Attention Aggregation based Bi-directional Mutual Learning","created":"2021-12-07","cited_by_count":20,"area":null},{"id":"2401.08350","title":"Salute the Classic: Revisiting Challenges of Machine Translation in the Age of Large Language Models","created":"2024-01-16","cited_by_count":17,"area":null},{"id":"2409.02413","title":"Abstractive Text Summarization: State of the Art, Challenges, and Improvements","created":"2024-09-04","cited_by_count":17,"area":null},{"id":"2101.09469","title":"Training Multilingual Pre-trained Language Model with Byte-level Subwords","created":"2021-01-23","cited_by_count":16,"area":null},{"id":"2203.09053","title":"Reducing Position Bias in Simultaneous Machine Translation with Length-Aware Framework","created":"2022-03-17","cited_by_count":16,"area":null},{"id":"2406.03450","title":"What is the Best Way for ChatGPT to Translate Poetry?","created":"2024-06-05","cited_by_count":14,"area":null},{"id":"2104.05996","title":"Fall of Giants: How popular text-based MLaaS fall against a simple evasion attack","created":"2021-04-13","cited_by_count":13,"area":null},{"id":"2112.14484","title":"Frequency-Aware Contrastive Learning for Neural Machine Translation","created":"2021-12-29","cited_by_count":11,"area":null},{"id":"2306.06804","title":"Neural Machine Translation for the Indigenous Languages of the Americas: An Introduction","created":"2023-06-11","cited_by_count":7,"area":null},{"id":"2508.15390","title":"Exploiting Vocabulary Frequency Imbalance in Language Model Pre-training","created":"2025-08-21","cited_by_count":7,"area":null},{"id":"2106.12398","title":"End-to-End Lexically Constrained Machine Translation for Morphologically Rich Languages","created":"2021-06-23","cited_by_count":6,"area":null},{"id":"2211.08387","title":"AutoTemplate: A Simple Recipe for Lexically Constrained Text Generation","created":"2022-11-15","cited_by_count":6,"area":null},{"id":"2201.11624","title":"LiteLSTM Architecture for Deep Recurrent Neural Networks","created":"2022-01-27","cited_by_count":5,"area":null},{"id":"2306.01393","title":"Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMT","created":"2023-06-02","cited_by_count":5,"area":null},{"id":"2403.16771","title":"Synthetic Data Generation and Joint Learning for Robust Code-Mixed Translation","created":"2024-03-25","cited_by_count":5,"area":null},{"id":"2104.05848","title":"Family of Origin and Family of Choice: Massively Parallel Lexiconized Iterative Pretraining for Severely Low Resource Machine Translation","created":"2021-04-12","cited_by_count":4,"area":null},{"id":"2203.00597","title":"Path sampling of recurrent neural networks by incorporating known physics","created":"2022-03-01","cited_by_count":4,"area":null},{"id":"2407.19526","title":"Impact of Decoding Methods on Human Alignment of Conversational LLMs","created":"2024-07-28","cited_by_count":4,"area":null},{"id":"2204.13355","title":"Neighbors Are Not Strangers: Improving Non-Autoregressive Translation under Low-Frequency Lexical Constraints","created":"2022-04-28","cited_by_count":3,"area":null},{"id":"2208.05225","title":"How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?","created":"2022-08-10","cited_by_count":3,"area":null},{"id":"2305.13504","title":"Neural Machine Translation for Code Generation","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2305.17698","title":"Neural Machine Translation with Dynamic Graph Convolutional Decoder","created":"2023-05-28","cited_by_count":3,"area":null},{"id":"2306.03652","title":"Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue","created":"2023-06-06","cited_by_count":3,"area":null},{"id":"2309.12998","title":"Audience-specific Explanations for Machine Translation","created":"2023-09-22","cited_by_count":3,"area":null},{"id":"2401.07518","title":"Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends","created":"2024-01-15","cited_by_count":3,"area":null},{"id":"2403.15362","title":"CoLLEGe: Concept Embedding Generation for Large Language Models","created":"2024-03-22","cited_by_count":3,"area":null},{"id":"2109.09350","title":"CUNI systems for WMT21: Terminology translation Shared Task","created":"2021-09-20","cited_by_count":2,"area":null},{"id":"2109.12533","title":"BioCopy: A Plug-And-Play Span Copy Mechanism in Seq2Seq Models","created":"2021-09-26","cited_by_count":2,"area":null},{"id":"2503.08454","title":"Stick to Facts: Towards Fidelity-oriented Product Description Generation","created":"2025-03-11","cited_by_count":2,"area":null},{"id":"2107.00334","title":"Modeling Target-side Inflection in Placeholder Translation","created":"2021-07-01","cited_by_count":1,"area":null},{"id":"2111.01414","title":"A Review of Dialogue Systems: From Trained Monkeys to Stochastic Parrots","created":"2021-11-02","cited_by_count":1,"area":null},{"id":"2111.02521","title":"Sequence-to-Sequence Modeling for Action Identification at High Temporal Resolution","created":"2021-11-03","cited_by_count":1,"area":null},{"id":"2210.00613","title":"The boundaries of meaning: a case study in neural machine translation","created":"2022-10-02","cited_by_count":1,"area":null},{"id":"2301.04794","title":"LiteLSTM Architecture Based on Weights Sharing for Recurrent Neural Networks","created":"2023-01-12","cited_by_count":1,"area":null},{"id":"2307.16400","title":"SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation","created":"2023-07-31","cited_by_count":1,"area":null},{"id":"2103.03108","title":"An empirical analysis of phrase-based and neural machine translation","created":"2021-03-04","cited_by_count":0,"area":null},{"id":"2109.02950","title":"Paraphrase Generation as Unsupervised Machine Translation","created":"2021-09-07","cited_by_count":0,"area":null},{"id":"2205.03978","title":"ACM -- Attribute Conditioning for Abstractive Multi Document Summarization","created":"2022-05-09","cited_by_count":0,"area":null},{"id":"2207.00552","title":"Reduce Indonesian Vocabularies with an Indonesian Sub-word Separator","created":"2022-07-01","cited_by_count":0,"area":null},{"id":"2208.12025","title":"Integrating Statistical and Machine Learning Approaches to Identify Receptive Field Structure in Neural Populations","created":"2022-07-25","cited_by_count":0,"area":null},{"id":"2209.03554","title":"Knowledge Based Template Machine Translation In Low-Resource Setting","created":"2022-09-08","cited_by_count":0,"area":null},{"id":"2309.13222","title":"Hindi to English: Transformer-Based Neural Machine Translation","created":"2023-09-23","cited_by_count":0,"area":null},{"id":"2412.15471","title":"A Review of the Marathi Natural Language Processing","created":"2024-12-20","cited_by_count":0,"area":null},{"id":"2608.03480","title":"Efficient Multilingual Neural Machine Translation via Corpus-Driven Vocabulary Pruning: An English-Arabic Case Study","created":"2026-08-04","cited_by_count":0,"area":null}],"next_cursor":null}