🧑‍🔬 Who cites Yihao Quan

18 citations of their works from 15 papers of our library (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · ← Yihao Quan

1. Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall SpacesIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJihan Yang, Shusheng Yang, Anjali W. Gupta, et al.2024 · 182 citations
2. 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
3. Self-Evolving Multi-Agent Systems via Textual BackpropagationFindings of the Association for Computational LinguisticsXiaowen Ma, Yunpu Ma, Chenyang Lin, et al.2026 · 3 citations
4. 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
5. 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
6. Diffusion-CAM: Faithful Visual Explanations for dMLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Haomin Zuo, Yidi Li, Luoxiao Yang, et al.2026 · 1 citation
7. EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound IntelligenceAnnual Meeting of the Association for Computational Linguistics (ACL)Chaoyin She, Ruifang Lu, Lida Chen, et al.2026 · 1 citation
8. MMErroR: A Benchmark for Erroneous Reasoning in Vision-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Shi, Yifeng Xie, Minzhe Guo, et al.2026 · 1 citation
9. Fixing Semantic Blind Spots in Anchor Tokens of dMLLMsFindings of the Association for Computational LinguisticsRuixuan Xu, Jiexi Xu, Qiyan Zhao, et al.2026
10. 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
11. 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
12. 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

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