Xiong Zhou — Papers on Cortexa

arxivcs.CV2026-07-23

Be Consistent! Enhancing Robust Visual Reasoning in LVLMs with Consistency Constraints

Liqiang Jing, Xiong Zhou, Siddharth Varia, Neha Anna John, Xinya Du, Vassilis N. Ioannidis

While Large Vision-Language Models (LVLMs) exhibit strong perceptual capabilities, they remain vulnerable in visual reasoning tasks. Existing benchmarks largely focus on symbolic mathematical or scientific problems and simple vision-centric tasks, offering limited assessment of c…

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arxivcs.LGcs.AI2026-07-03

Unbiased Alignment for Large Language Models with Noisy Preferences

Jialiang Wang, Xianming Liu, Xiong Zhou, Hui Liu, Haoliang Li

The alignment of large language models with human preferences is commonly achieved through Reinforcement Learning from Human Feedback or Direct Preference Optimization. However, these methods are vulnerable to the significant noise prevalent in real-world preference datasets. To…

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