3 papers
cs.CV2026
MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts
Wenqi Marshall Guo, Qingyun Qian, Shiyu Zhou +2
Vision Language Models (VLMs) are well known for hallucinating non-existent objects in images. Objects with missing parts present a unique challenge for VLMs, stemming from both re…
cs.CY2026
Position: Universal Aesthetic Alignment Narrows Artistic Expression
Wenqi Marshall Guo, Qingyun Qian, Khalad Hasan +1
Over-aligning image generation models to a generalized aesthetic preference conflicts with user intent, particularly when "anti-aesthetic" outputs are requested for artistic or cri…
cs.CY2025
Position: The Pitfalls of Over-Alignment: Overly Caution Health-Related Responses From LLMs are Unethical and Dangerous
Wenqi Marshall Guo, Yiyang Du, Heidi J. S. Tworek +1
Large Language Models (LLMs) are usually aligned with "human values/preferences" to prevent harmful output. Discussions around the alignment of Large Language Models (LLMs) general…