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cs.CV2026
Does Playing it Safe Count as Faithfulness? Reassessing LVLM Hallucination Mitigation Methods
Mehrdad Fazli, Sina Mansouri, Mohit Marvania +1
Recent inference-time hallucination mitigation methods for large vision-language models (LVLMs) report strong gains on hallucination benchmarks. However, it remains unclear whether…
cs.CV2026
Context-Aware Decoding for Faithful Vision-Language Generation
Mehrdad Fazli, Bowen Wei, Ziwei Zhu
Hallucinations, generating responses inconsistent with the visual input, remain a critical limitation of large vision-language models (LVLMs), especially in open-ended tasks such a…
cs.CV2025
Mitigating Hallucination in Large Vision-Language Models via Adaptive Attention Calibration
Mehrdad Fazli, Bowen Wei, Ahmet Sari +1
Large vision-language models (LVLMs) achieve impressive performance on multimodal tasks but often suffer from hallucination, and confidently describe objects or attributes not pres…