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title: "Vision & language — papers, page 3"
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# 🖼️ Vision & language

222 papers · page 3 of 3 · 126–222 · 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.

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126. [**Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling**Xiaokang Chen, Zhiyu Wu, Xingchao Liu, et al.*2025 · 97 citations*](https://md.research.elamur.ai/free/en/papers/chen-2025-janus-pro-unified-multimodal/)
127. [**InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model**Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.*2024 · 92 citations*](https://md.research.elamur.ai/free/en/papers/dong-2024-internlm-xcomposer2-mastering-free/)
128. [**Towards Emotion-aided Multi-modal Dialogue Act Classification**Tulika Saha, Aditya Patra, Sriparna Saha, et al.*2020 · 78 citations*](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/)
129. [**Dynamic Routing Transformer Network for Multimodal Sarcasm Detection**Yuan Tian, Nan Xu, Ruike Zhang, et al.*2023 · 66 citations*](https://md.research.elamur.ai/free/en/papers/tian-2023-dynamic-routing-transformer-network-multimodal/)
130. [**MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System**Libo Qin, Shijue Huang, Qiguang Chen, et al.*2023 · 65 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-mmsd2-0-reliable-multi-modal/)
131. [**Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text Data**Xinyu Wang, Xiaowen Sun, Tan Yang, et al.*2020 · 62 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-building-bridge-method-image-text/)
132. [**When did you become so smart, oh wise one?! Sarcasm Explanation in Multi-modal Multi-party Dialogues**Shivani Kumar, Atharva Kulkarni, Md Shad Akhtar, et al.*2022 · 51 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2022-when-did-you-become-so/)
133. [**The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue**Janosch Haber, Tim Baumgärtner, Ece Takmaz, et al.*2019 · 51 citations*](https://md.research.elamur.ai/free/en/papers/haber-2019-photobook-dataset-building-common-ground/)
134. [**What Does Your Smile Mean? Jointly Detecting Multi-Modal Sarcasm and Sentiment Using Quantum Probability**Yaochen Liu, Yazhou Zhang, Qiuchi Li, et al.*2021 · 43 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-what-does-your-smile-mean/)
135. [**FAST: Efficient Action Tokenization for Vision-Language-Action Models**Karl Pertsch, Kyle Stachowicz, Brian Ichter, et al.*2025 · 38 citations*](https://md.research.elamur.ai/free/en/papers/pertsch-2025-fast-efficient-action-tokenization-vision/)
136. [**CITE: A Corpus of Image-Text Discourse Relations**Malihe Alikhani, Sreyasi Nag Chowdhury, Gerard de Melo, et al.*2019 · 37 citations*](https://md.research.elamur.ai/free/en/papers/alikhani-2019-cite-corpus-image-text-discourse/)
137. [**A Multimodal Corpus for Emotion Recognition in Sarcasm**Anupama Ray, Shubham Mishra, Apoorva Nunna, et al.*2022 · 35 citations*](https://md.research.elamur.ai/free/en/papers/ray-2022-multimodal-corpus-emotion-recognition-sarcasm/)
138. [**SemEval-2025 Task 1: AdMIRe - Advancing Multimodal Idiomaticity Representation**Thomas Pickard, Aline Villavicencio, Maggie Mi, et al.*2025 · 30 citations*](https://md.research.elamur.ai/free/en/papers/pickard-2025-semeval-2025-task-1-admire/)
139. [**Multi-modal Stance Detection: New Datasets and Model**Bin Liang, Ang Li, Jingqian Zhao, et al.*2024 · 28 citations*](https://md.research.elamur.ai/free/en/papers/liang-2024-multi-modal-stance-detection-new/)
140. [**Multimodal Sarcasm Target Identification in Tweets**Jiquan Wang, Lin Sun, Yi Liu, et al.*2022 · 28 citations*](https://md.research.elamur.ai/free/en/papers/wang-2022-multimodal-sarcasm-target-identification-tweets/)
141. [**Multi-source Semantic Graph-based Multimodal Sarcasm Explanation Generation**Liqiang Jing, Xuemeng Song, Kun Ouyang, et al.*2023 · 26 citations*](https://md.research.elamur.ai/free/en/papers/jing-2023-multi-source-semantic-graph-based/)
142. [**CofiPara: A Coarse-to-fine Paradigm for Multimodal Sarcasm Target Identification with Large Multimodal Models**Zixin Chen, Hongzhan Lin, Ziyang Luo, et al.*2024 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2024-cofipara-coarse-fine-paradigm-multimodal/)
143. [**Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs**Firoj Alam, Md. Rafiul Biswas, Uzair Shah, et al.*2024 · 18 citations*](https://md.research.elamur.ai/free/en/papers/alam-2024-propaganda-hate-multimodal-analysis-arabic/)
144. [**Common Ground Tracking in Multimodal Dialogue**Ibrahim Khalil Khebour, Kenneth Lai, Mariah Bradford, et al.*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/khebour-2024-common-ground-tracking-multimodal-dialogue/)
145. [**Bridging the Gap between Synthetic and Authentic Images for Multimodal Machine Translation**Wenyu Guo, Qingkai Fang, Dong Yu, et al.*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/guo-2023-bridging-gap-between-synthetic-authentic/)
146. [**Extension Multi30K: Multimodal Dataset for Integrated Vision and Language Research in Ukrainian**Nataliia Saichyshyna, Daniil Maksymenko, Oleksii Turuta, et al.*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/saichyshyna-2023-extension-multi30k-multimodal-dataset-integrated/)
147. [**Towards Arabic Multimodal Dataset for Sentiment Analysis**Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar, et al.*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/haouhat-2023-towards-arabic-multimodal-dataset-sentiment/)
148. [**Amharic LLaMA and LLaVA: Multimodal LLMs for Low Resource Languages**Michael Andersland*2024 · 12 citations*](https://md.research.elamur.ai/free/en/papers/andersland-2024-amharic-llama-llava-multimodal-llms/)
149. [**AIN: The Arabic INclusive Large Multimodal Model**Ahmed Heakl, Sara Ghaboura, Omkar Thawkar, et al.*2025 · 11 citations*](https://md.research.elamur.ai/free/en/papers/heakl-2025-ain-arabic-inclusive-large-multimodal/)
150. [**Multimodal Semantic Learning from Child-Directed Input**Angeliki Lazaridou, Grzegorz Chrupała, Raquel Fernández, et al.*2016 · 9 citations*](https://md.research.elamur.ai/free/en/papers/lazaridou-2016-multimodal-semantic-learning-child-directed/)
151. [**A Parallel Cross-Lingual Benchmark for Multimodal Idiomaticity Understanding**Dilara Torunoğlu-Selamet, Doğukan Arslan, Rodrigo Wilkens, et al.*2026 · 8 citations*](https://md.research.elamur.ai/free/en/papers/selamet-2026-parallel-cross-lingual-benchmark-multimodal/)
152. [**Acquired TASTE: Multimodal Stance Detection with Textual and Structural Embeddings**Guy Barel, Oren Tsur, Dan Vilenchik*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/barel-2025-acquired-taste-multimodal-stance-detection/)
153. [**A Formal Analysis of Multimodal Referring Strategies Under Common Ground**Nikhil Krishnaswamy, James Pustejovsky*2020 · 8 citations*](https://md.research.elamur.ai/free/en/papers/krishnaswamy-2020-formal-analysis-multimodal-referring-strategies/)
154. [**This One or That One? A Study on Accessibility via Demonstratives with Multimodal Large Language Models**Yu Wang, Emmanuele Chersoni, Chu-Ren Huang*2026 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2026-this-one-or-that-one/)
155. [**Multimodal Cross-Document Event Coreference Resolution Using Linear Semantic Transfer and Mixed-Modality Ensembles**Abhijnan Nath, Huma Jamil, Shafiuddin Rehan Ahmed, et al.*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/nath-2024-multimodal-cross-document-event-coreference/)
156. [**Hierarchical Fusion for Online Multimodal Dialog Act Classification**Md Messal Monem Miah, Adarsh Pyarelal, Ruihong Huang*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/miah-2023-hierarchical-fusion-online-multimodal-dialog/)
157. [**The Aligned Multimodal Movie Treebank: An audio, video, dependency-parse treebank**Adam Yaari, Jan DeWitt, Henry Hu, et al.*2022 · 7 citations*](https://md.research.elamur.ai/free/en/papers/yaari-2022-aligned-multimodal-movie-treebank-audio/)
158. [**OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA**Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan, et al.*2025 · 6 citations*](https://md.research.elamur.ai/free/en/papers/alam-2025-oasis-multilingual-multimodal-dataset-culturally/)
159. [**Acquiring Linguistic Knowledge from Multimodal Input**Theodor Amariucai, Alexander Scott Warstadt*2023 · 6 citations*](https://md.research.elamur.ai/free/en/papers/amariucai-2023-acquiring-linguistic-knowledge-multimodal-input/)
160. [**GRAVL-BERT: Graphical Visual-Linguistic Representations for Multimodal Coreference Resolution**Danfeng Guo, Arpit Gupta, Sanchit Agarwal, et al.*2022 · 6 citations*](https://md.research.elamur.ai/free/en/papers/guo-2022-gravl-bert-graphical-visual-linguistic/)
161. [**ARB: A Comprehensive Arabic Multimodal Reasoning Benchmark**Sara Ghaboura, Shubham Patle, Ketan More, et al.*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/ghaboura-2026-arb-comprehensive-arabic-multimodal-reasoning/)
162. [**Evaluating Multimodal Large Language Models on Vertically Written Japanese Text**Keito Sasagawa, Shuhei Kurita, Daisuke Kawahara*2026 · 3 citations*](https://md.research.elamur.ai/free/en/papers/sasagawa-2026-evaluating-multimodal-large-language-models/)
163. [**Arabic Multimodal Machine Learning: Datasets, Applications, Approaches, and Challenges**Abdelhamid Haouhat, Slimane Bellaouar, Attia Nehar, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/haouhat-2025-arabic-multimodal-machine-learning-datasets/)
164. [**Baseer: A Vision-Language Model for Arabic Document-to-Markdown OCR**Khalil Hennara, Muhammad Hreden, Mohamed Motasim Hamed, et al.*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/hennara-2025-baseer-vision-language-model-arabic/)
165. [**Detecting Hope, Hate, and Emotion in Arabic Textual Speech and Multi-modal Memes Using Large Language Models**Nouar AlDahoul, Yasir Zaki*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/aldahoul-2025-detecting-hope-hate-emotion-arabic/)
166. [**Multimodal Arabic Captioning with Interpretable Visual Concept Integration**Passant Elchafei, Amany Fashwan*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/elchafei-2025-multimodal-arabic-captioning-interpretable-visual/)
167. [**6fanle Submission to the AmericasNLP 2026 Shared Task on Wixarika Image Captioning**Ji Wang, Hanqi Yang*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/wang-2026-6fanle-submission-americasnlp-2026-shared/)
168. [**AHA-Memes: A Fine-Grained Multimodal Benchmark for Understanding Hate in Arabic Memes**Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Abul Hasnat, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kmainasi-2026-aha-memes-fine-grained-multimodal/)
169. [**Culturally-Aware Image Captioning for Guaraní with Multimodal Prompting: IUHoosiers at AmericasNLP 2026**Wenchen Shi, Phakphum Artkaew, Luke Gessler*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/shi-2026-culturally-aware-image-captioning-guarani/)
170. [**Digital Harf: A Clinically Integrated Multimodal AI System for Pervasive Arabic Speech and Language Therapy**Asif Azad, Mohammad Sadat Hossain, MD Sadik Hossain Shanto, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/azad-2026-digital-harf-clinically-integrated-multimodal/)
171. [**ITUNLP at MWE-2026 AdMIRe 2: A Zero-Shot LLM Pipeline for Multimodal Idiom Understanding and Ranking**Atakan Site, Oğuz Ali Arslan, Gülşen Eryiğit*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/site-2026-itunlp-mwe-2026-admire-2/)
172. [**Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models**Masanari Oi, Masahiro Kaneko, Naoaki Okazaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/oi-2026-multi-modal-multi-task-multi/)
173. [**Nearest-Neighbor Retrieval for Indigenous Image Captioning**Justin Vasselli, Arturo Martínez Peguero, Shintaro Ozaki, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/vasselli-2026-nearest-neighbor-retrieval-indigenous-image/)
174. [**Reading Dynamics and Comprehension in Cognitive Aging: A Multimodal Language Resource**Claudia Marzi, Noemi Boni, Alice Todesco, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/marzi-2026-reading-dynamics-comprehension-cognitive-aging/)
175. [**Structured Entity Extraction from Hawaiian Television Chyrons Using Vision-Language Models**Kelley Lynch, Owen King, Kyeongmin Rim, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/lynch-2026-structured-entity-extraction-hawaiian-television/)
176. [**Test-Time Adaptation of an Offline Multimodal Foundation Model for Simultaneous Speech Translation**Yi Xing, Manli Yu, Pengfei Liu, et al.*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/xing-2026-test-time-adaptation-offline-multimodal/)
177. [**BitMar: Low-Bit Multimodal Fusion with Episodic Memory for Edge Devices**Euhid Aman, Esteban Carlin, Hsing-Kuo Kenneth Pao, et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/aman-2025-bitmar-low-bit-multimodal-fusion/)
178. [**MLInitiative at CASE 2025: Multimodal Detection of Hate Speech, Humor,and Stance using Transformers**Ashish Acharya, Ankit Bk, Bikram K.C., et al.*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/acharya-2025-mlinitiative-case-2025-multimodal-detection/)
179. [**Dreaming Out Loud: A Self-Synthesis Approach For Training Vision-Language Models With Developmentally Plausible Data**Badr AlKhamissi, Yingtian Tang, Abdülkadir Gökce, et al.*2024 · 1 citation*](https://md.research.elamur.ai/free/en/papers/alkhamissi-2024-dreaming-out-loud-self-synthesis/)
180. [**A Cascade Reinforcement Learning Strategy for Efficiently Enhancing the Reasoning Ability of Multimodal Large Language Models (高效提升多模态大语言模型推理能力的级联强化学习策略)**Weiyun Wang (王玮赟), Hengjun Pu (蒲恒骏), Linglin Jing (景凌林), et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-cascade-reinforcement-learning/)
181. [**A Large-Scale Instruction-Tuning Dataset and Models for Slovenian Vision-Language Tasks**Matej Martinc, Domen Vreš*2026*](https://md.research.elamur.ai/free/en/papers/martinc-2026-large-scale-instruction-tuning-dataset/)
182. [**AgriChain: Visually-Grounded Expert-Verified Reasoning for Interpretable Agricultural Vision–Language Models**Hazza Mahmood, Yongqiang Yu, Rao Anwer*2026*](https://md.research.elamur.ai/free/en/papers/mahmood-2026-agrichain-visually-grounded-expert-verified/)
183. [**alexandru412 at MWE-2026 AdMIRe 2.0: Advancing Multimodal Idiomaticity Representation**Cristea Alexandru-Marian*2026*](https://md.research.elamur.ai/free/en/papers/marian-2026-alexandru412-mwe-2026-admire-2/)
184. [**Assessing Y-Axis Influence: Bias in Multimodal Language Models on Chart-to-Table Translation**Seok Hwan Song, Azher Ahmed Efat, Wallapak Tavanapong*2026*](https://md.research.elamur.ai/free/en/papers/song-2026-assessing-y-axis-influence-bias/)
185. [**CANVAS: A Multimodal Dataset of Chinese Textbook Images for Bias and Representation Analysis**Haotian Zhu, Kefan Yu, Min Li*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-canvas-multimodal-dataset-chinese-textbook/)
186. [**ClimateChat-300K: A Multi-Modal Facebook Dataset for Understanding Diverse Perspectives in Climate Communication**Wajdi Zaghouani, Md. Rafiul Biswas, Mabrouka Bessghaier, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zaghouani-2026-climatechat-300k-multi-modal-facebook/)
187. [**CONVERSE: Annotation Scheme and Dataset for Multimodal Conversational Engagement Analysis in Human-Human and Human-Robot Interaction**Ekaterina Torubarova, Oskar Ljung, Julia Uddén, et al.*2026*](https://md.research.elamur.ai/free/en/papers/torubarova-2026-converse-annotation-scheme-dataset-multimodal/)
188. [**COPECO-Speech: Multimodal Post-Editing with Speech and LLMs for Translation Teaching**Jeevanthi Liyanapathirana, Pierrette Bouillon, Jonathan Mutal, et al.*2026*](https://md.research.elamur.ai/free/en/papers/liyanapathirana-2026-copeco-speech-multimodal-post-editing/)
189. [**Detecting Latin in Historical Books with Large Language Models: A Multimodal Benchmark**Yu Wu, Ke Shu, Jonas Fischer, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wu-2026-detecting-latin-historical-books-large/)
190. [**Do Factual Recall Mechanisms Carry over from Text to Speech in Multimodal Language Models?**Luca Modica, Filip Landin, Mehrdad Farahani, et al.*2026*](https://md.research.elamur.ai/free/en/papers/modica-2026-do-factual-recall-mechanisms-carry/)
191. [**Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations**Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wei-2026-do-multimodal-llms-understand-order/)
192. [**DREAM: A Multicultural Multimodal Dataset Linking Dialogues and Realistic Image Sequences**Juan Mallo, Marcos Estecha-Garitagoitia, Ricardo Cordoba, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mallo-2026-dream-multicultural-multimodal-dataset-linking/)
193. [**Early Fusion with Contrastive Learning: A Lightweight Alternative for Multi-modal Classification**Felix Wernlein, Abhik Jana, Sandipan Sikdar*2026*](https://md.research.elamur.ai/free/en/papers/wernlein-2026-early-fusion-contrastive-learning-lightweight/)
194. [**Evaluating Discriminability of Vision-Language Models**Masayasu Muraoka, Naoaki Okazaki*2026*](https://md.research.elamur.ai/free/en/papers/muraoka-2026-evaluating-discriminability-vision-language-models/)
195. [**Evaluating Multimodal Large Language Model Narrative Interpretation through the Lens of Appraisal Theory**Jayant Teotia, Xiaowei Wang, Xulang Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/teotia-2026-evaluating-multimodal-large-language-model/)
196. [**Event Chronography in Multi-modal Data: The BME Method for Quantitative Analyses**Anaïs Claire Murat, Maria Koutsombogera, Carl Vogel*2026*](https://md.research.elamur.ai/free/en/papers/murat-2026-event-chronography-multi-modal-data/)
197. [**From Perception to Reasoning: Deep Thinking Empowers Multimodal Large Language Models (从感知到推理：深度思考赋能多模态大语言模型)**Wenxin Zhu (祝文鑫), Andong Chen (陈安东), Yuchen Song (宋宇宸), et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhu-2026-perception-reasoning-deep/)
198. [**I Came, I Saw, I Explained: Benchmarking Multimodal LLMs on Figurative Meaning in Memes**Shijia Zhou, Saif M. Mohammad, Barbara Plank, et al.*2026*](https://md.research.elamur.ai/free/en/papers/zhou-2026-i-came-i-saw-i/)
199. [**ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation**Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti, et al.*2026*](https://md.research.elamur.ai/free/en/papers/abdaljalil-2026-imageeval-2026-culturally-grounded-arabic/)
200. [**K-MIND: Korean Multimodal INteraction Data for Dyadic Conversation Analysis**Jae Hee Yang, Yuha Shin, Saim Shin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-k-mind-korean-multimodal-interaction/)
201. [**Leveraging Semi-Supervised Learning for Multimodal Hate Speech Data Annotation and Detection**Rathi Adarshi Rammohan, Zhao Ren, Dominik Puchała, et al.*2026*](https://md.research.elamur.ai/free/en/papers/rammohan-2026-leveraging-semi-supervised-learning-multimodal/)
202. [**LST at MWE-2026 AdMIRe 2: Advancing Multimodal Idiomaticity Representation**Le Qiu, Yu-Yin Hsu, Emmanuele Chersoni*2026*](https://md.research.elamur.ai/free/en/papers/qiu-2026-lst-mwe-2026-admire-2/)
203. [**MASA: A Novel Multimodal Foundation Model for L2 Speaking Assessment in Picture-description Scenarios**Bi-Cheng Yan, Fu-An Chao, Hong-Yun H.Y. Lin, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-masa-novel-multimodal-foundation-model/)
204. [**MEUR: A Benchmark for Evaluating Vision-Language Models on Multimodal Event Understanding and Reasoning**Zimu Wang, Yuqi Wang, Tong Chen, et al.*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-meur-benchmark-evaluating-vision-language/)
205. [**MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues**Yaning Pan, Qianqian Xie, Guohui Zhang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/pan-2026-mt-video-bench-holistic-video/)
206. [**Multimodal Entrainment and Feedback in Online Group Meetings**Patrizia Paggio, Manex Agirrezabal, Giulia Di Cristina, et al.*2026*](https://md.research.elamur.ai/free/en/papers/paggio-2026-multimodal-entrainment-feedback-online-group/)
207. [**Multimodal LLMs Do Not Compose Skills Optimally across Modalities**Paula Ontalvilla, Aitor Ormazabal, Gorka Azkune*2026*](https://md.research.elamur.ai/free/en/papers/ontalvilla-2026-multimodal-llms-do-not-compose/)
208. [**Multimodal Reference by Means of the Pronoun We and Hand Gestures in a Novel Corpus of Parliamentary Opening Debates**Costanza Navarretta*2026*](https://md.research.elamur.ai/free/en/papers/navarretta-2026-multimodal-reference-means-pronoun-we/)
209. [**Seeing the Other Side: Diagnostic Tasks for Viewpoint Reasoning in Vision–Language Models**Makoto Takenaka, Hitomi Yanaka*2026*](https://md.research.elamur.ai/free/en/papers/takenaka-2026-seeing-other-side-diagnostic-tasks/)
210. [**Similar Predictions, Different Processes: A Multi-Level Comparison of Human and Multimodal LLM Language Prediction**Shuqi Wang, Zhenguang Cai*2026*](https://md.research.elamur.ai/free/en/papers/wang-2026-similar-predictions-different-processes-multi/)
211. [**STRUDEL: Unrolling a Benchmark for Evaluating Vision-Language Models on Structured Diagram Understanding across Domains**Daniel Steinigen, Lucie Flek, Sebastian Houben*2026*](https://md.research.elamur.ai/free/en/papers/steinigen-2026-strudel-unrolling-benchmark-evaluating-vision/)
212. [**That’s what I need: A multimodal study of Hebrew ‘Reversed Pseudo-Clefts’**Yael Maschler, Hilla Polak-Yitzhaki*2026*](https://md.research.elamur.ai/free/en/papers/maschler-2026-thats-i-need-multimodal-study/)
213. [**TiC-MuFormer: Time-Aware Caption-Integrated Multimodal Transformers for User-Level Mental Health Modeling**Georgios Tsoumplekas, Yannis Spyridis, Vasileios Argyriou*2026*](https://md.research.elamur.ai/free/en/papers/tsoumplekas-2026-tic-muformer-time-aware-caption/)
214. [**ViX-Ray: A Vietnamese Chest X-Ray Dataset for Vision-Language Models**Duy Vu Minh Nguyen, Chinh Thanh Truong, Trần Hoàng Phúc, et al.*2026*](https://md.research.elamur.ai/free/en/papers/nguyen-2026-vix-ray-vietnamese-chest-x/)
215. [**Voices across Decades: A Multimodal Diachronic Corpus of German Bundestag Debates (GerParlDia-MM)**Ingo Siegert*2026*](https://md.research.elamur.ai/free/en/papers/siegert-2026-voices-across-decades-multimodal-diachronic/)
216. [**When Tables Go Crazy: Evaluating Multimodal Models on French Financial Documents**Virginie Mouilleron, Théo Lasnier, Anna Mosolova, et al.*2026*](https://md.research.elamur.ai/free/en/papers/mouilleron-2026-when-tables-go-crazy-evaluating/)
217. [**Which Way Does Time Flow? A Psychophysics-Grounded Evaluation for Vision–Language Models**Shiho Matta, Lis Kanashiro Pereira, Peitao Han, et al.*2026*](https://md.research.elamur.ai/free/en/papers/matta-2026-which-way-does-time-flow/)
218. [**Enhancing Quranic Learning: A Multimodal Deep Learning Approach for Arabic Phoneme Recognition**Ayhan Kucukmanisa, Derya Gelmez, Sukru Selim Calik, et al.*2025*](https://md.research.elamur.ai/free/en/papers/kucukmanisa-2025-enhancing-quranic-learning-multimodal-deep/)
219. [**Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal Corpora**Khalil Hennara; Ahmad Bastati; Muhammad Hreden; Mohamed Motasim Hamed; Zeina Aldallal; Sara Chrouf;, Safwan AlModhayan*2025*](https://md.research.elamur.ai/free/en/papers/hennara-2025-wasm-pipeline-constructing-structured-arabic/)
220. [**Research Progress of Video Question Answering Technologies (视频问答技术研究进展)**Cuizhu Bao (包翠竹), Kai Ding (丁凯), Jianfeng Dong (董建锋), et al.*2024*](https://md.research.elamur.ai/free/en/papers/bao-2024-video-question-answering/)
221. [**Survey on Vision-language Pre-training (视觉语言预训练综述)**Jiong Yin (殷炯), Zhedong Zhang (张哲东), Yuhan Gao (高宇涵), et al.*2022*](https://md.research.elamur.ai/free/en/papers/yin-2022-vision-language-pre/)
222. [**The Youthful Heracles-Melqart in Tyre. Choosing a Visual Language for a Phoenician God in the Hellenistic Period**Achim Lichtenberger*2022*](https://md.research.elamur.ai/free/en/papers/lichtenberger-2022-youthful-heracles-melqart-tyre-choosing/)

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