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Who cites Kenneth Marino

678 citations of their works from 503 papers of our library (of the 149,439 whose bibliographies we read) · 129 with a page here, the most cited first · page 2 of 2 · 101–129 · ← Kenneth Marino

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  1. QIAS 2026: Overview of the Shared Task on Islamic Inheritance ReasoningWorkshop on Open-Source Arabic Corpora and Processing Tools with Shared TasksAbdessalam Bouchekif, Somaya Eltanbouly, Shahd Gaben, et al.2026 · 3 citations
  2. Do Images Speak Louder than Words? Investigating the Effect of Textual Misinformation in VLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Chi Zhang, Wenxuan Ding, Jiale Liu, et al.2026 · 2 citations
  3. TechING: Towards Real World Technical Image Understanding via VLMsFindings of the Association for Computational LinguisticsTafazzul Nadeem, Bhavik Shangari, Manish Rai, et al.2026 · 2 citations
  4. V-MAGE: A Game Evaluation Framework for Assessing Vision-Centric Capabilities in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsXiangxi Zheng, Linjie Li, Zhengyuan Yang, et al.2026 · 2 citations
  5. Benchmarking Vision Language Models on German Factual DataarXiv:2504.11108Rene Peinl, Vincent Tischler2025 · 2 citations
  6. CoGR-MoE: Concept-Guided Expert Routing with Consistent Selection and Flexible Reasoning for Visual Question AnsweringFindings of the Association for Computational LinguisticsXiyin Zeng, Yi Lu, Hao Wang2026 · 1 citation
  7. DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Nithin Sivakumaran, Justin Chen, David Wan, et al.2026 · 1 citation
  8. Ground Then Rank: Revisiting Knowledge-Based VQA with Training-Free Entity IdentificationFindings of the Association for Computational LinguisticsQian Ma, Qiong Wu, Zhengyi Zhou, et al.2026 · 1 citation
  9. Multi-modal, Multi-task, Multi-criteria Automatic Evaluation with Vision Language ModelsLanguage Resources and Evaluation Conference (LREC)Masanari Oi, Masahiro Kaneko, Naoaki Okazaki, et al.2026 · 1 citation
  10. WikiSeeker: Rethinking the Role of Vision-Language Models in Knowledge-Based Visual Question AnsweringFindings of the Association for Computational LinguisticsYingjian Zhu, Xinming Wang, Kun Ding, et al.2026 · 1 citation
  11. GAOKAO-Eval: Does high scores truly reflect strong capabilities in LLMs?arXiv:2412.10056Zhikai Lei, Tianyi Liang, Hanglei Hu, et al.2024 · 1 citation
  12. AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content AnalysisFindings of the Association for Computational LinguisticsDong She, Xianrong Yao, Liqun Chen, et al.2026
  13. ANCHOR: LLM-driven Subject Conditioning for Text-to-Image SynthesisFindings of the Association for Computational LinguisticsAashish Anantha Ramakrishnan, Sharon X Huang, Dongwon Lee2026
  14. Annotation-Efficient Vision-Language Model Adaptation to the Polish Language Using the LLaVA FrameworkConference of the European Chapter of the Association for Computational Linguistics (EACL)Grzegorz Statkiewicz, Alicja Dobrzeniecka, Karolina Seweryn, et al.2026
  15. Benchmarking Deflection and Hallucination in Large Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Nicholas Moratelli, Christopher Davis, Leonardo F. R. Ribeiro, et al.2026
  16. Beyond the Panorama: Training-Free Hierarchical Perception-Reasoning for Fine-Grained Vision in MLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyang Yi, Jing Chen, Li Peng, et al.2026
  17. Chart-MRAG: Benchmarking Multimodal Retrieval Augmented Generation on Chart-based DocumentsAnnual Meeting of the Association for Computational Linguistics (ACL)Ymyang, Jiang Zhong, Li Jin, et al.2026
  18. Curriculum Learning based Hierarchical Scoring and Analysis Framework for Question Answering Task EvaluationFindings of the Association for Computational LinguisticsQiong Wu, Tan Yue, Jianxin Liang, et al.2026
  19. DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsHao Yang, Jin Wang, Xuejie Zhang2026
  20. Efficient Visual Grounding in VQA via Question-Guided Sparse AttentionWorkshop on Advances in Language and Vision Research (ALVR)Prasanth Yadla2026
  21. L2Dir: Integrating L2-Norm and Directional Alignment for Unsupervised Contrastive Representation Learning in Multimodal RetrievalAnnual Meeting of the Association for Computational Linguistics (ACL)Tianyu Zong, Rui Dai, Hongzhu Yi, et al.2026
  22. Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and BenchmarksFindings of the Association for Computational LinguisticsNobin Sarwar, Shubhashis Roy Dipta, Zheyuan Liu, et al.2026
  23. M³-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Jiatong Ma, Longteng Guo, Yuchen Liu, et al.2026
  24. Progressive Re-ranking for Multimodal Retrieval-Augmented Generation via Curriculum LearningFindings of the Association for Computational LinguisticsZhu Min, Yanchao Hao, Jian Liu, et al.2026
  25. SceneAlign: Aligning Multimodal Reasoning to Scene Graphs in Complex Visual ScenesAnnual Meeting of the Association for Computational Linguistics (ACL)Chuhan Wang, Xintong Li, Jennifer Yuntong Zhang, et al.2026
  26. UNIVID: Unified Vision-Language Model for Video ModerationAnnual Meeting of the Association for Computational Linguistics (ACL)Kejuan Yang, Yizhuo Zhang, Mingyuan Du, et al.2026
  27. VL-Calibration: Decoupled Confidence Calibration for Large Vision-Language Models ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Wenyi Xiao, Xinchi XU, Leilei Gan2026
  28. What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order ReasoningConference of the European Chapter of the Association for Computational Linguistics (EACL)Zhaotian Weng, Haoxuan Li, Xin Eric Wang, et al.2026
  29. Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and BottlenecksAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Wang, Sharon Li2026

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