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cs.AI2026

MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity

Yiran Zhang, Jinwen Liu, Daniel Su +7

Mineral exploration requires integrating heterogeneous geochemical, geophysical, and geological evidence, yet existing prospectivity systems often provide only opaque scores or hea…

cs.AI2026

Locating Failure in Multi-Page Visually Rich Document Understanding Systems: An Empirical Attribution

Lewei Xu, Yihao Ding, Zihan Xu +5

Multi-page visually rich document understanding (MP-VRDU) systems can fail when evidence is not faithfully represented, not selected, or not used correctly, yet final accuracy alon…

cs.AI2026

MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation

Yi Lin, Yihao Ding, Yonghui Wu +1

Automated 3D radiology report generation often suffers from clinical hallucinations and a lack of the iterative verification found in human practice. While recent Vision-Language M…

cs.AI2026

Diagnosing Causal Reasoning in Vision-Language Models via Structured Relevance Graphs

Dhita Putri Pratama, Soyeon Caren Han, Yihao Ding

Large Vision-Language Models (LVLMs) achieve strong performance on visual question answering benchmarks, yet often rely on spurious correlations rather than genuine causal reasonin…

cs.AI2026

Docs2Synth: A Synthetic Data Trained Retriever Framework for Scanned Visually Rich Documents Understanding

Yihao Ding, Qiang Sun, Puzhen Wu +3

Document understanding (VRDU) in regulated domains is particularly challenging, since scanned documents often contain sensitive, evolving, and domain specific knowledge. This leads…