---
title: "Who cites Zhihao Fan — page 2 — 838 papers of our library"
description: "838 papers of the Elamur Research library cite the works of Zhihao Fan, found in their bibliographies · page 2 of 2 · 101–163; the most cited first."
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---
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# Who cites Zhihao Fan

841 citations of their works from 838 papers of our library (of the 149,439 whose bibliographies we read) · 163 with a page here, the most cited first · page 2 of 2 · 101–163 · [← Zhihao Fan](https://md.research.elamur.ai/free/en/authors/zhihao-fan/)

[← prev](https://md.research.elamur.ai/free/en/authors/zhihao-fan/cited-by/) [1](https://md.research.elamur.ai/free/en/authors/zhihao-fan/cited-by/) **2**

101. **[CoReTab: Improving Multimodal Table Understanding with Code-driven Reasoning](https://md.research.elamur.ai/free/en/papers/nguyen-2026-coretab-improving-multimodal-table-understanding/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Van-Quang Nguyen, Takayuki Okatani*2026 · 1 citation*
102. **[Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing](https://md.research.elamur.ai/free/en/papers/ye-2026-decoding-multimodal-mind-generalizable-brain/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chunyu Ye, Yunhao Zhang, Jingyuan Sun, et al.*2026 · 1 citation*
103. **[Diffusion-CAM: Faithful Visual Explanations for dMLLMs](https://md.research.elamur.ai/free/en/papers/zuo-2026-diffusion-cam-faithful-visual-explanations/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Haomin Zuo, Yidi Li, Luoxiao Yang, et al.*2026 · 1 citation*
104. **[EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound Intelligence](https://md.research.elamur.ai/free/en/papers/she-2026-echovlm-dynamic-mixture-experts-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chaoyin She, Ruifang Lu, Lida Chen, et al.*2026 · 1 citation*
105. **[FinCall-Surprise: A Large Scale Multi-modal Benchmark for Earning Surprise Prediction](https://md.research.elamur.ai/free/en/papers/shu-2026-fincall-surprise-large-scale-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dong Shu, Yanguang Liu, Huopu Zhang, et al.*2026 · 1 citation*
106. **[JointCoder: Exploring Automated ICD Coding on Real-World Chinese EHRs with a Multi-Agent Framework](https://md.research.elamur.ai/free/en/papers/liu-2026-jointcoder-exploring-automated-icd-coding/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Kangjun Liu, Zhenyu Li, Jianlei Wang, et al.*2026 · 1 citation*
107. **[Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language Models](https://md.research.elamur.ai/free/en/papers/oi-2026-multi-modal-multi-task-multi/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Masanari Oi, Masahiro Kaneko, Naoaki Okazaki, et al.*2026 · 1 citation*
108. **[SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/lv-2026-spd-faith-bench-diagnosing-improving/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Weijiang Lv, Yaoxuan Feng, Xiaobo Xia, et al.*2026 · 1 citation*
109. **[Strong Reasoning Isn't Enough: Evaluating Evidence Elicitation in Interactive Diagnosis](https://md.research.elamur.ai/free/en/papers/long-2026-strong-reasoning-isn-t-enough/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhuohan Long, Zhongyu Wei*2026 · 1 citation*
110. **[TAGS: A Test-Time Generalist–Specialist Framework with Retrieval-Augmented Reasoning and Verification](https://md.research.elamur.ai/free/en/papers/wu-2026-tags-test-time-generalist-specialist/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jianghao Wu, Feilong Tang, Yulong Li, et al.*2026 · 1 citation*
111. **[UI-Copilot: Advancing Long-Horizon GUI Automation via Tool-Integrated Policy Optimization](https://md.research.elamur.ai/free/en/papers/lu-2026-ui-copilot-advancing-long-horizon/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengxi Lu, Fei Tang, Guangyi Liu, et al.*2026 · 1 citation*
112. **[USB: A COMPREHENSIVE AND UNIFIED SAFETY EVALUATION BENCHMARK FOR MULTIMODAL LARGE LANGUAGE MODELS](https://md.research.elamur.ai/free/en/papers/zheng-2026-usb-comprehensive-unified-safety-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Baolin Zheng, Guanlin Chen, Qingyang Teng, et al.*2026 · 1 citation*
113. **[When Vision-Language Models Judge Without Seeing: Exposing Informativeness Bias](https://md.research.elamur.ai/free/en/papers/zou-2026-when-vision-language-models-judge/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiaohan Zou, Roshan Sridhar, Mohammadtaher Safarzadeh, et al.*2026 · 1 citation*
114. **[Zero-Shot Multimodal Retrieval with Multi-Scale Contextual Representations](https://md.research.elamur.ai/free/en/papers/saha-2026-zero-shot-multimodal-retrieval-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Sourajit Saha, Tejas Gokhale*2026 · 1 citation*
115. **[CultranAI at PalmX 2025: Data Augmentation for Cultural Knowledge Representation](https://md.research.elamur.ai/free/en/papers/bhatti-2025-cultranai-palmx-2025-data-augmentation/) [Arabic Natural Language Processing Conference (ArabicNLP)](https://md.research.elamur.ai/free/en/venues/arabicnlp/)**Hunzalah Hassan Bhatti, Youssef Ahmed, Md Arid Hasan, et al.*2025 · 1 citation*
116. **[A Large-Scale Instruction-Tuning Dataset and Models for Slovenian Vision-Language Tasks](https://md.research.elamur.ai/free/en/papers/martinc-2026-large-scale-instruction-tuning-dataset/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Matej Martinc, Domen Vreš*2026*
117. **[Adapting Vision-Language Models for E-commerce Understanding at Scale](https://md.research.elamur.ai/free/en/papers/nulli-2026-adapting-vision-language-models-e/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Matteo Nulli, Vladimir Orshulevich, Tala Bazazo, et al.*2026*
118. **[AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis](https://md.research.elamur.ai/free/en/papers/she-2026-aica-bench-holistically-examining-capabilities/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Dong She, Xianrong Yao, Liqun Chen, et al.*2026*
119. **[AIDA-SEAT: Towards Reliable AI Doctor Assistant via State-Evaluation-Action Tree Enhanced LLMs in Online Hospital](https://md.research.elamur.ai/free/en/papers/sun-2026-aida-seat-reliable-ai-doctor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lianxin Sun, Xiaoying Ying, Guangya Yu, et al.*2026*
120. **[Annotation-Efficient Vision-Language Model Adaptation to the Polish Language Using the LLaVA Framework](https://md.research.elamur.ai/free/en/papers/statkiewicz-2026-annotation-efficient-vision-language-model/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Grzegorz Statkiewicz, Alicja Dobrzeniecka, Karolina Seweryn, et al.*2026*
121. **[Are LLM Benchmarks Already Contaminated? A Systematic Review of Contamination Detection Methods](https://md.research.elamur.ai/free/en/papers/nourbakhsh-2026-are-llm-benchmarks-already-contaminated/) [Workshop on Generation, Evaluation and Metrics (GEM)](https://md.research.elamur.ai/free/en/venues/gem/)**Erfan Nourbakhsh, Mohammad Sadegh Sirjani, Amir Mousavi, et al.*2026*
122. **[Benchmarking the Fine-Grained Discriminability in Image-Text Retrieval via Controlled Contrastive Differences](https://md.research.elamur.ai/free/en/papers/wang-2026-benchmarking-fine-grained-discriminability-image/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhen Wang, Xi Zhou, Yating Yang, et al.*2026*
123. **[Black-Box Membership Inference Attacks for Video Training Data in Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-black-box-membership-inference-attacks/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jinrui Wang, Zhenfeng Gao, Wendan Wang, et al.*2026*
124. **[Bringing Real-World Relations into Video Generation with Graph-Structured Knowledge](https://md.research.elamur.ai/free/en/papers/park-2026-bringing-real-world-relations-into/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Joonhyung Park, Jaeyun Song, Sihwan Park, et al.*2026*
125. **[CEBC: Conformal Evidence-Bounded Control for Low-Hallucination Vision–Language Generation](https://md.research.elamur.ai/free/en/papers/mishra-2026-cebc-conformal-evidence-bounded-control/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ashish Mishra, Tarun Kumar, Arpit Shah, et al.*2026*
126. **[Evaluating Discriminability of Vision-Language Models](https://md.research.elamur.ai/free/en/papers/muraoka-2026-evaluating-discriminability-vision-language-models/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Masayasu Muraoka, Naoaki Okazaki*2026*
127. **[Experience-driven Multi-turn Reinforcement Learning for GUI Agents](https://md.research.elamur.ai/free/en/papers/lu-2026-experience-driven-multi-turn-reinforcement/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengxi Lu, Jiabo Ye, Fei Tang, et al.*2026*
128. **[FactVerse: A Benchmark for Factual Consistency in Interleaved Image–Text Generation](https://md.research.elamur.ai/free/en/papers/shan-2026-factverse-benchmark-factual-consistency-interleaved/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yubo Shan, Kun Zhang, Qiming Xu, et al.*2026*
129. **[FAER: Benchmarking VLMs for Failure-Aware Embodied Reasoning](https://md.research.elamur.ai/free/en/papers/song-2026-faer-benchmarking-vlms-failure-aware/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hao Song, Kaifeng Liu, Yuanxing Liu, et al.*2026*
130. **[FedGUI: Benchmarking Federated GUI Agents across Heterogeneous Platforms, Devices, and Operating Systems](https://md.research.elamur.ai/free/en/papers/wang-2026-fedgui-benchmarking-federated-gui-agents/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**WenHao Wang, Haoting Shi, Mengying Yuan, et al.*2026*
131. **[From Inheritance to Saturation: Disentangling the Evolution of Visual Redundancy for Architecture-Aware MLLM Inference Acceleration](https://md.research.elamur.ai/free/en/papers/shi-2026-inheritance-saturation-disentangling-evolution-visual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiaqi Shi, Xulong Zhang, Yuechan Li, et al.*2026*
132. **[GaLa: Hypergraph-Guided Visual Language Models for Procedural Planning](https://md.research.elamur.ai/free/en/papers/wang-2026-gala-hypergraph-guided-visual-language/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kun Wang, Li Yiming, Mingcheng Qu, et al.*2026*
133. **[Grounded Concreteness: Human-Like Concreteness Sensitivity in Vision–Language Models](https://md.research.elamur.ai/free/en/papers/roy-2026-grounded-concreteness-human-like-concreteness/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Aryan Roy, Zekun Wang, Christopher J. MacLellan*2026*
134. **[Grounded Multimodal In-Context Learning for Product Weight Estimation at Scale in E-commerce](https://md.research.elamur.ai/free/en/papers/singhal-2026-grounded-multimodal-context-learning-product/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Bhavuk Singhal, Arsh Keshari, Ravindra Kumar Yadav*2026*
135. [**Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful Humor arXiv:2603.17759**Ahmed Sharshar, Hosam Elgendy, Saad El Dine Ahmed, et al.*2026*](https://md.research.elamur.ai/free/en/papers/sharshar-2026-harm-humor-multimodal-multilingual-benchmark/)
136. **[How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?](https://md.research.elamur.ai/free/en/papers/sil-2026-how-effective-are-vlms-assisting/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pritam Sil, Durgaprasad Karnam, Vinay Reddy Venumuddala, et al.*2026*
137. **[InkSight: Towards AI-Aided Historical Manuscript Analysis](https://md.research.elamur.ai/free/en/papers/sakhovskiy-2026-inksight-ai-aided-historical-manuscript/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Andrey Sakhovskiy, Ivan Ulitin, Emilia Bojarskaja, et al.*2026*
138. **[IPS: In-Prompt Process Supervision for Short Video Content Moderation](https://md.research.elamur.ai/free/en/papers/liu-2026-ips-prompt-process-supervision-short/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingchao Liu, Yu Sun, Ruixiao Sun, et al.*2026*
139. **[Iterative Self-Correction for Text-Driven Person Re-Identification with Large Vision-Language Models](https://md.research.elamur.ai/free/en/papers/luo-2026-iterative-self-correction-text-driven/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guijin Luo, Zequn Xie, Sihang Cai, et al.*2026*
140. **[Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language Models](https://md.research.elamur.ai/free/en/papers/luo-2026-latent-attention-denoising-training-free/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.*2026*
141. **[Latent Narratives at AR-MS NakbaNLP 2026: Reducing Character Errors in Arabic Manuscript Transcription: A CER Oriented System](https://md.research.elamur.ai/free/en/papers/shaza-2026-latent-narratives-ar-ms-nakbanlp/) [International Workshop on Nakba Narratives as Language Resources @ LREC](https://md.research.elamur.ai/free/en/venues/nakbanlp/)**Fatima Shaza, Sara Al-Desouky, Sarah Ayad*2026*
142. **[Learning to Ask: Multi-Decoder Fine-Tuning for Multi-Hop Visual Question Generation with External Knowledge](https://md.research.elamur.ai/free/en/papers/phukan-2026-learning-ask-multi-decoder-fine/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Arpan Phukan, Manish Gupta, Asif Ekbal*2026*
143. **[Mitigating Coordinate Prediction Bias from Positional Encoding Failures](https://md.research.elamur.ai/free/en/papers/tao-2026-mitigating-coordinate-prediction-bias-positional/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingjian Tao, Yiwei Wang, Yujun Cai, et al.*2026*
144. **[Mitigating Hallucinations in VLMs: Enhancing Visual Attention via Head-Wise Perturbation](https://md.research.elamur.ai/free/en/papers/wang-2026-mitigating-hallucinations-vlms-enhancing-visual/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghua Wang, Yixin Wu, Feiran Zhang, et al.*2026*
145. **[MMTabReal: Real-World Benchmark for Multimodal Table Understanding](https://md.research.elamur.ai/free/en/papers/titiya-2026-mmtabreal-real-world-benchmark-multimodal/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Prasham Yatinkumar Titiya, Jainil Trivedi, Chitta Baral, et al.*2026*
146. **[Multimodal Dual-Path Decoding for Medical Report Generation](https://md.research.elamur.ai/free/en/papers/sun-2026-multimodal-dual-path-decoding-medical/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jinghan Sun, Dong Wei, Zhihong Zhu, et al.*2026*
147. **[M³-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering](https://md.research.elamur.ai/free/en/papers/ma-2026-m-3-vqa-benchmark-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiatong Ma, Longteng Guo, Yuchen Liu, et al.*2026*
148. **[On the Additive Compositionality of Task Vectors in Vision–Language Models](https://md.research.elamur.ai/free/en/papers/shi-2026-additive-compositionality-task-vectors-vision/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yuting Shi, Houjing Wei, Naoya Inoue*2026*
149. **[On the Cultural Anachronism and Temporal Reasoning in Vision Language Models](https://md.research.elamur.ai/free/en/papers/ranjan-2026-cultural-anachronism-temporal-reasoning-vision/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mukul Ranjan, Prince Jha, Khushboo Kumari, et al.*2026*
150. **[PII-VisBench: Evaluating Personally Identifiable Information Safety in Vision Language Models Along a Continuum of Visibility](https://md.research.elamur.ai/free/en/papers/shahariar-2026-pii-visbench-evaluating-personally-identifiable/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**G M Shahariar, Zabir Al Nazi, Md Olid Hasan Bhuiyan, et al.*2026*
151. **[Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding](https://md.research.elamur.ai/free/en/papers/ma-2026-response-g1-explicit-scene-graph/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ke Ma, Jiaqi Tang, Bin Guo, et al.*2026*
152. **[Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing](https://md.research.elamur.ai/free/en/papers/song-2026-rethinking-composed-image-retrieval-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tingyu Song, Yanzhao Zhang, Mingxin Li, et al.*2026*
153. **[Router-Suggest: Dynamic Routing for Multimodal Auto-Completion in Visually-Grounded Dialogs](https://md.research.elamur.ai/free/en/papers/mishra-2026-router-suggest-dynamic-routing-multimodal/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Sandeep Mishra, Devichand Budagam, Anubhab Mandal, et al.*2026*
154. **[RRAtention: Dynamic Block Sparse Attention via Per-Head Round-Robin Shifts for Long-Context Inference](https://md.research.elamur.ai/free/en/papers/liu-2026-rratention-dynamic-block-sparse-attention/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siran Liu, Guoxia Wang, Sa Wang, et al.*2026*
155. **[SMILE-Next: Teaching Large Language Models to Detect, Classify, and Reason about Laughter](https://md.research.elamur.ai/free/en/papers/mok-2026-smile-next-teaching-large-language/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lee Jung-Mok, Kim Sung-Bin, Joohyun Chang, et al.*2026*
156. **[SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent Space](https://md.research.elamur.ai/free/en/papers/zinkovich-2026-sparta-evaluating-reasoning-segmentation-robustness/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.*2026*
157. **[Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models](https://md.research.elamur.ai/free/en/papers/tang-2026-spatiotemporal-sycophancy-negation-based-gaslighting/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Ziyao Tang, Pengkun Jiao, Bin Zhu, et al.*2026*
158. **[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/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Daniel Steinigen, Lucie Flek, Sebastian Houben*2026*
159. **[Towards Unified Multimodal Large Language Models: A survey](https://md.research.elamur.ai/free/en/papers/ma-2026-unified-multimodal-large-language-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xu Ma, Yitian Zhang, Yun Fu*2026*
160. **[v-HUB: A Benchmark for Video Humor Understanding from Vision and Sound](https://md.research.elamur.ai/free/en/papers/shi-2026-v-hub-benchmark-video-humor/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhengpeng Shi, Yanpeng Zhao, Jianqun Zhou, et al.*2026*
161. **[VerbaNexAI at ClinicalSkillQA: From Visual Evidence to Procedural Order A Two-Stage Generative Vision-Language Framework for ClinSkillQA](https://md.research.elamur.ai/free/en/papers/tovar-2026-verbanexai-clinicalskillqa-visual-evidence-procedural/) [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)**Andrea Menco Tovar, Jairo E. Serrano, Edwin Puertas, et al.*2026*
162. **[When Relations Break: Analyzing Relation Hallucination in Vision-Language Model Under Rotation and Noise](https://md.research.elamur.ai/free/en/papers/shin-2026-when-relations-break-analyzing-relation/) [Workshop on Advances in Language and Vision Research (ALVR)](https://md.research.elamur.ai/free/en/venues/alvr/)**Philip Wootaek Shin, Ajay Narayanan Sridhar, Lakshmi Sivani Devarapalli, et al.*2026*
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