{"total":20,"rows":[{"id":"2102.02779","title":"Unifying Vision-and-Language Tasks via Text Generation","created":"2021-02-04","cited_by_count":412,"area":null},{"id":"2105.14462","title":"Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation","created":"2021-05-30","cited_by_count":44,"area":null},{"id":"2203.09173","title":"On Vision Features in Multimodal Machine Translation","created":"2022-03-17","cited_by_count":31,"area":null},{"id":"2212.10140","title":"Tackling Ambiguity with Images: Improved Multimodal Machine Translation and Contrastive Evaluation","created":"2022-12-20","cited_by_count":26,"area":null},{"id":"2101.10044","title":"Cross-lingual Visual Pre-training for Multimodal Machine Translation","created":"2021-01-25","cited_by_count":19,"area":null},{"id":"2301.03344","title":"Universal Multimodal Representation for Language Understanding","created":"2023-01-09","cited_by_count":14,"area":null},{"id":"2308.15226","title":"CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation","created":"2023-08-29","cited_by_count":14,"area":null},{"id":"2210.08478","title":"Increasing Visual Awareness in Multimodal Neural Machine Translation from an Information Theoretic Perspective","created":"2022-10-16","cited_by_count":10,"area":null},{"id":"2102.11387","title":"Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation","created":"2021-02-22","cited_by_count":7,"area":null},{"id":"2502.20420","title":"Chitranuvad: Adapting Multi-Lingual LLMs for Multimodal Translation","created":"2025-02-27","cited_by_count":6,"area":null},{"id":"2208.00767","title":"Multimodal Neural Machine Translation with Search Engine Based Image Retrieval","created":"2022-07-26","cited_by_count":4,"area":null},{"id":"2404.18413","title":"3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset","created":"2024-04-29","cited_by_count":4,"area":null},{"id":"2310.17133","title":"Incorporating Probing Signals into Multimodal Machine Translation via Visual Question-Answering Pairs","created":"2023-10-26","cited_by_count":3,"area":null},{"id":"2208.01296","title":"Silo NLP's Participation at WAT2022","created":"2022-08-02","cited_by_count":2,"area":null},{"id":"2305.07927","title":"RC3: Regularized Contrastive Cross-lingual Cross-modal Pre-training","created":"2023-05-13","cited_by_count":2,"area":null},{"id":"2308.16075","title":"Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian Languages","created":"2023-08-30","cited_by_count":2,"area":null},{"id":"2404.06107","title":"Exploring the Necessity of Visual Modality in Multimodal Machine Translation using Authentic Datasets","created":"2024-04-09","cited_by_count":1,"area":null},{"id":"2507.18562","title":"GIIFT: Graph-guided Inductive Image-free Multimodal Machine Translation","created":"2025-07-24","cited_by_count":1,"area":null},{"id":"2302.10315","title":"Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training","created":"2023-02-16","cited_by_count":0,"area":null},{"id":"2306.06476","title":"Modality Influence in Multimodal Machine Learning","created":"2023-06-10","cited_by_count":0,"area":null}],"next_cursor":null}