🔗 Who cites «Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs»

9 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs»

1. Self-Evolving Multi-Agent Systems via Textual BackpropagationFindings of the Association for Computational LinguisticsXiaowen Ma, Yunpu Ma, Chenyang Lin, et al.2026 · 3 citations
2. 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
3. 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
4. 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
5. 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
6. 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

3 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/zhang-2025-shallow-focus-deep-fixes-enhancing/cited-by/