{"total":30,"rows":[{"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,"area":null},{"id":"2101.08231","title":"Word Alignment by Fine-tuning Embeddings on Parallel Corpora","created":"2021-01-20","cited_by_count":186,"area":null},{"id":"2109.01135","title":"Sequence-to-Sequence Learning with Latent Neural Grammars","created":"2021-09-02","cited_by_count":30,"area":null},{"id":"2204.09867","title":"A Model-Agnostic Data Manipulation Method for Persona-based Dialogue Generation","created":"2022-04-21","cited_by_count":25,"area":null},{"id":"2105.06977","title":"Do Context-Aware Translation Models Pay the Right Attention?","created":"2021-05-14","cited_by_count":21,"area":null},{"id":"2109.01396","title":"Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT","created":"2021-09-03","cited_by_count":21,"area":null},{"id":"2203.09163","title":"Modeling Dual Read/Write Paths for Simultaneous Machine Translation","created":"2022-03-17","cited_by_count":21,"area":null},{"id":"2109.05244","title":"Modeling Concentrated Cross-Attention for Neural Machine Translation with Gaussian Mixture Model","created":"2021-09-11","cited_by_count":18,"area":null},{"id":"2105.13072","title":"TranSmart: A Practical Interactive Machine Translation System","created":"2021-05-27","cited_by_count":17,"area":null},{"id":"2203.09072","title":"Gaussian Multi-head Attention for Simultaneous Machine Translation","created":"2022-03-17","cited_by_count":17,"area":null},{"id":"2205.01464","title":"Inducing and Using Alignments for Transition-based AMR Parsing","created":"2022-05-03","cited_by_count":12,"area":null},{"id":"2403.18435","title":"DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment","created":"2024-03-27","cited_by_count":9,"area":null},{"id":"2104.10406","title":"Discrete-continuous Action Space Policy Gradient-based Attention for Image-Text Matching","created":"2021-04-21","cited_by_count":8,"area":null},{"id":"2101.10708","title":"Few-Shot Semantic Parsing for New Predicates","created":"2021-01-26","cited_by_count":7,"area":null},{"id":"2211.07906","title":"Hierarchical Phrase-based Sequence-to-Sequence Learning","created":"2022-11-15","cited_by_count":7,"area":null},{"id":"2103.03446","title":"Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning","created":"2021-03-05","cited_by_count":5,"area":null},{"id":"2105.11119","title":"Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention","created":"2021-05-24","cited_by_count":5,"area":null},{"id":"2104.01264","title":"Attention Forcing for Machine Translation","created":"2021-04-02","cited_by_count":3,"area":null},{"id":"2204.12308","title":"Supervised Attention in Sequence-to-Sequence Models for Speech Recognition","created":"2022-04-25","cited_by_count":3,"area":null},{"id":"2212.00138","title":"Word Alignment in the Era of Deep Learning: A Tutorial","created":"2022-11-30","cited_by_count":3,"area":null},{"id":"2508.15190","title":"SemToken: Semantic-Aware Tokenization for Efficient Long-Context Language Modeling","created":"2025-08-21","cited_by_count":3,"area":null},{"id":"2201.09324","title":"Supervised Visual Attention for Simultaneous Multimodal Machine Translation","created":"2022-01-23","cited_by_count":2,"area":null},{"id":"2205.01620","title":"Unifying the Convergences in Multilingual Neural Machine Translation","created":"2022-05-03","cited_by_count":2,"area":null},{"id":"2102.00819","title":"Metric-Type Identification for Multi-Level Header Numerical Tables in Scientific Papers","created":"2021-02-01","cited_by_count":0,"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":"2211.04198","title":"Third-Party Aligner for Neural Word Alignments","created":"2022-11-08","cited_by_count":0,"area":null},{"id":"2308.03429","title":"RCMHA: Relative Convolutional Multi-Head Attention for Natural Language Modelling","created":"2023-08-07","cited_by_count":0,"area":null},{"id":"2403.10124","title":"Depth-induced Saliency Comparison Network for Diagnosis of Alzheimer's Disease via Jointly Analysis of Visual Stimuli and Eye Movements","created":"2024-03-15","cited_by_count":0,"area":null},{"id":"2407.20083","title":"An Energy-based Model for Word-level AutoCompletion in Computer-aided Translation","created":"2024-07-29","cited_by_count":0,"area":null},{"id":"2603.17912","title":"Pretrained Multilingual Transformers Reveal Quantitative Distance Between Human Languages","created":"2026-03-18","cited_by_count":0,"area":null}],"next_cursor":null}