🧑‍🔬 Who cites Nenghai Yu

179 citations of their works from 179 papers of our library (of the 149,439 whose bibliographies we read) · 34 with a page here, the most cited first · ← Nenghai Yu

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. Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space ModelarXiv:2401.09417Lianghui Zhu, Bencheng Liao, Qian Zhang, et al.2024 · 500 citations
3. Hallucination of Multimodal Large Language Models: A SurveyarXiv:2404.18930Zechen Bai, Pichao Wang, Tianjun Xiao, et al.2024 · 120 citations
4. A Survey on Hallucination in Large Vision-Language ModelsarXiv:2402.00253Hanchao Liu, Wenyuan Xue, Yifei Chen, et al.2024 · 113 citations
5. InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large ModelarXiv:2401.16420Xiaoyi Dong, Pan Zhang, Yuhang Zang, et al.2024 · 94 citations
6. 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
7. Cracking the Code of Hallucination in LVLMs with Vision-aware Head DivergenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghan He, Kuan Zhu, Haiyun Guo, et al.2025 · 21 citations
8. Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.2025 · 14 citations
9. From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.2025 · 12 citations
10. PanGu-π: Enhancing Language Model Architectures via Nonlinearity CompensationarXiv:2312.17276Yunhe Wang, Hanting Chen, Yehui Tang, et al.2023 · 10 citations
11. GMSA: Enhancing Context Compression via Group Merging and Layer Semantic AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Jiwei Tang, Zhicheng Zhang, Shunlong Wu, et al.2026 · 8 citations
12. 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
13. 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
14. 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
15. Through the Magnifying Glass: Adaptive Perception Magnification for Hallucination-Free VLM DecodingAnnual Meeting of the Association for Computational Linguistics (ACL)Shunqi Mao, Chaoyi Zhang, Weidong Cai2026 · 4 citations
16. 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
17. CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive DecodingFindings of the Association for Computational LinguisticsXi Zhang, Zaiqiao Meng, Jake Lever, et al.2026 · 2 citations
18. ART: Attention Replacement Technique to Improve Factuality in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqin Luo, Yihao Quan, Xiaofeng Zhang, et al.2026 · 1 citation
19. SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWeijiang Lv, Yaoxuan Feng, Xiaobo Xia, et al.2026 · 1 citation
20. Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Shuliang Liu, Songbo Yang, Dong Fang, et al.2026 · 1 citation
21. Attribution-Guided Multi-Object Hallucination and Bias Detection in Vision-Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Sirat Samyoun, Yingtai Xiao, Jian Du2026
22. 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
23. CEBC: Conformal Evidence-Bounded Control for Low-Hallucination Vision–Language GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Ashish Mishra, Tarun Kumar, Arpit Shah, et al.2026
24. DICA: Dual-Indicator Guided Contrastive Alignment in Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsHao Yang, Jin Wang, Xuejie Zhang2026
25. Exploring Attention Attractors in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziheng Wang, Zihao Yue, Wenxuan Wang, et al.2026
26. Fixing Semantic Blind Spots in Anchor Tokens of dMLLMsFindings of the Association for Computational LinguisticsRuixuan Xu, Jiexi Xu, Qiyan Zhao, et al.2026
27. 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
28. 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
29. 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
30. 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
31. Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination MitigationFindings of the Association for Computational LinguisticsYebo Wu, Han Jin, Zhijiang Guo, et al.2026
32. 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
33. Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and ReasoningFindings of the Association for Computational LinguisticsCong Wan, Ying He, Zhongzhan Huang, et al.2026
34. TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMsFindings of the Association for Computational LinguisticsXiaofeng Zhang, Yuanchao Zhu, Qiyan Zhao, et al.2026

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