Vassilis N. Ioannidis — 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…

View free PDFSource page

arxivcs.CLcs.AI2026-06-30

When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors

Yuqing Yang, Qi Zhu, Zhen Han, Boran Han, Zhengyuan Shen, Shuai Wang, et al.

While large language models (LLMs) perform well on table tasks, they still make data referencing errors (DREs), i.e., incorrectly citing or omitting table values, despite understanding the table structure. Beyond final-answer accuracy, DREs directly compromise the correctness and…

View free PDFSource page