---
title: "Vision & language — papers, page 9"
description: "Vision & language: 221 papers of the Elamur Research library · page 9 of 9, the most cited first."
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# 🖼️ Vision & language

221 papers · page 9 of 9 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

Text with images and video: captions, visual questions and models that see and read.

[← prev](https://md.research.elamur.ai/free/en/topics/multimodal/page/8/) [1](https://md.research.elamur.ai/free/en/topics/multimodal/) … [8](https://md.research.elamur.ai/free/en/topics/multimodal/page/8/) **9**

- [MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description Scenarios](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/) — Bi-Cheng Yan, Fu-An Chao, Hong-Yun H.Y. Lin, et al. · 2026
- [MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning](https://md.research.elamur.ai/free/en/papers/wang-2026-meur-benchmark-evaluating-vision-language/) — Zimu Wang, Yuqi Wang, Tong Chen, et al. · 2026
- [MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues](https://md.research.elamur.ai/free/en/papers/pan-2026-mt-video-bench-holistic-video/) — Yaning Pan, Qianqian Xie, Guohui Zhang, et al. · 2026
- [Multimodal Entrainment and Feedback in Online Group Meetings](https://md.research.elamur.ai/free/en/papers/paggio-2026-multimodal-entrainment-feedback-online-group/) — Patrizia Paggio, Manex Agirrezabal, Giulia Di Cristina, et al. · 2026
- [Multimodal LLMs Do Not Compose Skills Optimally across Modalities](https://md.research.elamur.ai/free/en/papers/ontalvilla-2026-multimodal-llms-do-not-compose/) — Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune · 2026
- [Multimodal Reference by Means of the Pronoun We and Hand Gestures in a Novel Corpus of Parliamentary Opening Debates](https://md.research.elamur.ai/free/en/papers/navarretta-2026-multimodal-reference-means-pronoun-we/) — Costanza Navarretta · 2026
- [Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language Models](https://md.research.elamur.ai/free/en/papers/takenaka-2026-seeing-other-side-diagnostic-tasks/) — Makoto Takenaka, Hitomi Yanaka · 2026
- [Similar Predictions, Different Processes: A Multi-Level Comparison of Human and Multimodal LLM Language Prediction](https://md.research.elamur.ai/free/en/papers/wang-2026-similar-predictions-different-processes-multi/) — Shuqi Wang, Zhenguang Cai · 2026
- [STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains](https://md.research.elamur.ai/free/en/papers/steinigen-2026-strudel-unrolling-benchmark-evaluating-vision/) — Daniel Steinigen, Lucie Flek, Sebastian Houben · 2026
- [That’s what I need: A multimodal study of Hebrew ‘Reversed Pseudo-Clefts’](https://md.research.elamur.ai/free/en/papers/maschler-2026-thats-i-need-multimodal-study/) — Yael Maschler, Hilla Polak-Yitzhaki · 2026
- [TiC-MuFormer: Time-Aware Caption-Integrated Multimodal Transformers for User-Level Mental Health Modeling](https://md.research.elamur.ai/free/en/papers/tsoumplekas-2026-tic-muformer-time-aware-caption/) — Georgios Tsoumplekas, Yannis Spyridis, Vasileios Argyriou · 2026
- [ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vix-ray-vietnamese-chest-x/) — Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al. · 2026
- [Voices across Decades: A Multimodal Diachronic Corpus of German Bundestag Debates (GerParlDia-MM)](https://md.research.elamur.ai/free/en/papers/siegert-2026-voices-across-decades-multimodal-diachronic/) — Ingo Siegert · 2026
- [When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/) — Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al. · 2026
- [Which Way Does Time Flow? A Psychophysics-Grounded Evaluation for Vision–Language Models](https://md.research.elamur.ai/free/en/papers/matta-2026-which-way-does-time-flow/) — Shiho Matta, Lis Kanashiro Pereira, Peitao Han, et al. · 2026
- [从感知到推理：深度思考赋能多模态大语言模型](https://md.research.elamur.ai/free/en/papers/zhu-2026-perception-reasoning-deep/) — 祝文鑫, 陈安东, 宋宇宸, et al. · 2026
- [Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition](https://md.research.elamur.ai/free/en/papers/kucukmanisa-2025-enhancing-quranic-learning-multimodal-deep/) — Ayhan Kucukmanisa, Derya Gelmez, Sukru Selim Calik, et al. · 2025
- [Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal Corpora](https://md.research.elamur.ai/free/en/papers/hennara-2025-wasm-pipeline-constructing-structured-arabic/) — Khalil Hennara; Ahmad Bastati; Muhammad Hreden; Mohamed Motasim Hamed; Zeina Aldallal; Sara Chrouf;, Safwan AlModhayan · 2025
- [视频问答技术研究进展](https://md.research.elamur.ai/free/en/papers/bao-2024-video-question-answering/) — 包翠竹, 丁凯, 董建锋, et al. · 2024
- [The Youthful Heracles-Melqart in Tyre. Choosing a Visual Language for a Phoenician God in the Hellenistic Period](https://md.research.elamur.ai/free/en/papers/lichtenberger-2022-youthful-heracles-melqart-tyre-choosing/) — Achim Lichtenberger · 2022
- [视觉语言预训练综述](https://md.research.elamur.ai/free/en/papers/yin-2022-vision-language-pre/) — 殷炯, 张哲东, 高宇涵, et al. · 2022

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