🔗 Who cites «Detecting and Preventing Hallucinations in Large Vision Language Models»

81 papers of our library cite it (of the 149,439 whose bibliographies we read) · 25 with a page here, the most cited first · ← back to «Detecting and Preventing Hallucinations in Large Vision Language Models»

1. 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
2. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
3. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 977 citations
4. HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTianrui Guan, Fuxiao Liu, Xiyang Wu, et al.2023 · 335 citations
5. A Survey of Hallucination in Large Foundation ModelsarXiv:2309.05922Vipula Rawte, Amit Sheth, Amitava Das2023 · 226 citations
6. RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human FeedbackIEEE Computer Society Conference on Computer Vision and Pattern RecognitionTianyu Yu, Yuan Yao, Haoye Zhang, et al.2023 · 217 citations
7. Woodpecker: Hallucination Correction for Multimodal Large Language ModelsScience China Information SciencesShukang Yin, Chaoyou Fu, Sirui Zhao, et al.2023 · 206 citations
8. Analyzing and Mitigating Object Hallucination in Large Vision-Language ModelsarXiv:2310.00754Yiyang Zhou, Chenhang Cui, Jaehong Yoon, et al.2023 · 134 citations
9. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
10. Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Hao Shao, Shengju Qian, Han Xiao, et al.2024 · 117 citations
11. A Survey on Hallucination in Large Vision-Language ModelsarXiv:2402.00253Hanchao Liu, Wenyuan Xue, Yifei Chen, et al.2024 · 113 citations
12. Factuality of Large Language Models: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Yuxia Wang, Minghan Wang, Muhammad Arslan Manzoor, et al.2024 · 77 citations
13. AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination EvaluationarXiv:2311.07397Junyang Wang, Yuhang Wang, Guohai Xu, et al.2023 · 67 citations
14. MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language BenchmarkarXiv:2402.04788Dongping Chen, Ruoxi Chen, Shilin Zhang, et al.2024 · 60 citations
15. Improve Vision Language Model Chain-of-thought ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Ruohong Zhang, Bowen Zhang, Yanghao Li, et al.2025 · 42 citations
16. Vision-Language Models Can Self-Improve Reasoning via ReflectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kanzhi Cheng, Li YanTao, Fangzhi Xu, et al.2025 · 35 citations
17. Direct Preference Optimization of Video Large Multimodal Models from Language Model RewardConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ruohong Zhang, Liangke Gui, Zhiqing Sun, et al.2025 · 32 citations
18. Can Unconfident LLM Annotations Be Used for Confident Conclusions?Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)Kristina Gligorić, Tijana Zrnic, Cinoo Lee, et al.2025 · 19 citations
19. 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
20. 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
21. 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
22. 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
23. 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
24. 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
25. PAR: Training-Free Positional Perturbation and Attention Recycling for Faithful OCRAnnual Meeting of the Association for Computational Linguistics (ACL)Yao Yao, Manwen Liao, Weitian Zhang, et al.2026

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