Who cites «AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation»
- A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
- Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction TuningarXiv:2306.14565Fuxiao Liu, Kevin Lin, Linjie Li, et al.2023 · 189 citations
- Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
- A Survey on Hallucination in Large Vision-Language ModelsarXiv:2402.00253Hanchao Liu, Wenyuan Xue, Yifei Chen, et al.2024 · 113 citations
- mDPO: Conditional Preference Optimization for Multimodal Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Fei Wang, Wenxuan Zhou, James Y. Huang, et al.2024 · 50 citations
- A Survey of Small Language ModelsarXiv:2410.20011Chien Van Nguyen, Xuan Shen, Ryan Aponte, et al.2024 · 31 citations
- Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, et al.2025 · 6 citations
- Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMsFindings of the Association for Computational LinguisticsGuangtao Lyu, Qi Liu, Chenghao Xu, et al.2026 · 5 citations
- RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human FeedbackInternational Conference on Computational Linguistics (COLING)Guoqing Chen, Fu Zhang, Jinghao Lin, et al.2025 · 5 citations
- VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information BottleneckAnnual Meeting of the Association for Computational Linguistics (ACL)Feiran Zhang, Yixin Wu, Zhenghua Wang, et al.2026 · 3 citations
- Once Correct, Still Wrong: Counterfactual Hallucination in Multilingual Vision-Language ModelsFindings of the Association for Computational LinguisticsBasel Mousi, Fahim Dalvi, Shammur Absar Chowdhury, et al.2026 · 2 citations
- B-APO: Bias-Targeted Adversarial Preference Optimization for Debiasing Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsPinlong Zhao, Zike Ding, Zengshu Ye, et al.2026
- 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
- ImageEval 2026: Culturally Grounded Arabic Multimodal EvaluationarXiv:2608.30475Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti, et al.2026
- Journey Before Destination: On the importance of Visual Faithfulness in Slow ThinkingConference of the European Chapter of the Association for Computational Linguistics (EACL)Rheeya Uppaal, Phu Mon Htut, Min Bai, et al.2026
- Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zhiwen Luo, Siyu Jiang, Weilong Jiang, et al.2026
- Mitigating Action-Relation Hallucinations in LVLMs via Relation-aware Visual EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Zhenxin Qin, Qiang Li, Qingzhuo Wang, et al.2026
- Mitigating Hallucinations in Large Vision-Language Models without Performance DegradationAnnual Meeting of the Association for Computational Linguistics (ACL)Xingyu Zhu, Junfeng Fang, Shuo Wang, et al.2026
- Taming Object Hallucinations with Verified Atomic Confidence EstimationConference of the European Chapter of the Association for Computational Linguistics (EACL)Jiarui Liu, Weihao Xuan, Zhijing Jin, et al.2026
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