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most citedOpportunities and Challenges of Large Language Models for Low-Resource Languages in Humanities Research

10 citations · 10 across the 13 of their papers we have counts for

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cs.CV2026

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence

Hanqi Jiang, Junhao Chen, Mingyu Kang +12

Medical vision--language models (VLMs) are usually evaluated on intact image--question pairs, but trustworthy clinical use requires a stronger property: a model must recognise when…

cs.CV2026

Thinking with Gaze: Sequential Eye-Tracking as Visual Reasoning Supervision for Medical VLMs

Yiwei Li, Zihao Wu, Yifan Zhou +10

Vision--language models (VLMs) process images as visual tokens, yet their intermediate reasoning is often carried out in text, which can be suboptimal for visually grounded radiolo…

cs.CV2026

Neural Functional Alignment Space: Brain-Referenced Representation of Artificial Neural Networks

Ruiyu Yan, Hanqi Jiang, Yi Pan +4

We propose the Neural Functional Alignment Space (NFAS), a brain-referenced representational framework for characterizing artificial neural networks on equal functional grounds. NF…

cs.CV2026

ViThinker: Active Vision-Language Reasoning via Dynamic Perceptual Querying

Weihang You, Qingchan Zhu, David Liu +3

Chain-of-Thought (CoT) reasoning excels in language models but struggles in vision-language models due to premature visual-to-text conversion that discards continuous information s…

cs.CV2026

Achieving Fine-grained Cross-modal Understanding through Brain-inspired Hierarchical Representation Learning

Weihang You, Hanqi Jiang, Yi Pan +3

Understanding neural responses to visual stimuli remains challenging due to the inherent complexity of brain representations and the modality gap between neural data and visual inp…

cs.CV2025

AdCare-VLM: Towards a Unified and Pre-aligned Latent Representation for Healthcare Video Understanding

Md Asaduzzaman Jabin, Hanqi Jiang, Yiwei Li +4

Chronic diseases, including diabetes, hypertension, asthma, HIV-AIDS, epilepsy, and tuberculosis, necessitate rigorous adherence to medication to avert disease progression, manage…