{"total":50,"rows":[{"id":"2102.08981","title":"Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts","created":"2021-02-17","cited_by_count":1216,"area":null},{"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":"2107.13782","title":"Multimodal Co-learning: Challenges, Applications with Datasets, Recent Advances and Future Directions","created":"2021-07-29","cited_by_count":35,"area":null},{"id":"2203.09173","title":"On Vision Features in Multimodal Machine Translation","created":"2022-03-17","cited_by_count":31,"area":null},{"id":"2206.00100","title":"VALHALLA: Visual Hallucination for Machine Translation","created":"2022-05-31","cited_by_count":27,"area":null},{"id":"2109.05199","title":"A Survey on Multi-modal Summarization","created":"2021-09-11","cited_by_count":26,"area":null},{"id":"2203.10299","title":"Neural Machine Translation with Phrase-Level Universal Visual Representations","created":"2022-03-19","cited_by_count":26,"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":"2107.14178","title":"ReFormer: The Relational Transformer for Image Captioning","created":"2021-07-29","cited_by_count":23,"area":null},{"id":"2305.17415","title":"Exploring Better Text Image Translation with Multimodal Codebook","created":"2023-05-27","cited_by_count":23,"area":null},{"id":"2109.03415","title":"Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models","created":"2021-09-08","cited_by_count":21,"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":"2109.02865","title":"Journalistic Guidelines Aware News Image Captioning","created":"2021-09-07","cited_by_count":14,"area":null},{"id":"2110.08226","title":"Guiding Visual Question Generation","created":"2021-10-15","cited_by_count":14,"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":"2201.08054","title":"VISA: An Ambiguous Subtitles Dataset for Visual Scene-Aware Machine Translation","created":"2022-01-20","cited_by_count":11,"area":null},{"id":"2305.18326","title":"BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine Translation","created":"2023-05-23","cited_by_count":9,"area":null},{"id":"2212.10313","title":"Beyond Triplet: Leveraging the Most Data for Multimodal Machine Translation","created":"2022-12-20","cited_by_count":7,"area":null},{"id":"2201.09828","title":"MMLatch: Bottom-up Top-down Fusion for Multimodal Sentiment Analysis","created":"2022-01-24","cited_by_count":6,"area":null},{"id":"2405.12669","title":"A Survey on Multi-modal Machine Translation: Tasks, Methods and Challenges","created":"2024-05-21","cited_by_count":6,"area":null},{"id":"2104.08384","title":"\"Wikily\" Supervised Neural Translation Tailored to Cross-Lingual Tasks","created":"2021-04-16","cited_by_count":5,"area":null},{"id":"2106.00250","title":"ViTA: Visual-Linguistic Translation by Aligning Object Tags","created":"2021-06-01","cited_by_count":5,"area":null},{"id":"2210.06716","title":"Low-resource Neural Machine Translation with Cross-modal Alignment","created":"2022-10-13","cited_by_count":5,"area":null},{"id":"2205.14462","title":"BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions Dataset","created":"2022-05-28","cited_by_count":4,"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":"2403.03045","title":"Adding Multimodal Capabilities to a Text-only Translation Model","created":"2024-03-05","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":"2406.17213","title":"Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage","created":"2024-06-25","cited_by_count":4,"area":null},{"id":"2512.11074","title":"MultiScript30k: Leveraging Multilingual Embeddings to Extend Cross Script Parallel Data","created":"2025-12-11","cited_by_count":4,"area":null},{"id":"2106.03484","title":"BERTGEN: Multi-task Generation through BERT","created":"2021-06-07","cited_by_count":3,"area":null},{"id":"2302.14030","title":"Multimodal Speech Recognition for Language-Guided Embodied Agents","created":"2023-02-27","cited_by_count":3,"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":"2310.20201","title":"Video-Helpful Multimodal Machine Translation","created":"2023-10-31","cited_by_count":3,"area":null},{"id":"2403.03075","title":"Detecting Concrete Visual Tokens for Multimodal Machine Translation","created":"2024-03-05","cited_by_count":3,"area":null},{"id":"2407.13579","title":"Towards Zero-Shot Multimodal Machine Translation","created":"2024-07-18","cited_by_count":3,"area":null},{"id":"2103.07352","title":"Visual Cues and Error Correction for Translation Robustness","created":"2021-03-12","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":"2505.05714","title":"TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for Documentaries","created":"2025-05-09","cited_by_count":2,"area":null},{"id":"2507.17588","title":"Dual-branch Prompting for Multimodal Machine Translation","created":"2025-07-23","cited_by_count":2,"area":null},{"id":"2310.08187","title":"Visual Question Generation in Bengali","created":"2023-10-12","cited_by_count":1,"area":null},{"id":"2403.03014","title":"The Case for Evaluating Multimodal Translation Models on Text Datasets","created":"2024-03-05","cited_by_count":1,"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":"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":"2504.18012","title":"Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation","created":"2025-04-25","cited_by_count":0,"area":null},{"id":"2509.12543","title":"Human + AI for Accelerating Ad Localization Evaluation","created":"2025-09-16","cited_by_count":0,"area":null},{"id":"2606.16009","title":"Bridging the Usability Gap: Lessons from Interpreting Studies for Machine Interpreting Design","created":"2026-06-14","cited_by_count":0,"area":null},{"id":"2609.31169","title":"Improving Visual Sensitivity of LLMs on Multimodal Machine Translation with Metric-based Loss Weighting","created":"2026-09-25","cited_by_count":0,"area":null}],"next_cursor":null}