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20232026
most citedRevolutionizing Finance with LLMs: An Overview of Applications and Insights

43 citations · 211 across the 38 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

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

Yiwei Li, Yifan Zhou, Huaqin Zhao +6

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.CV2025★ 1 cited

Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models

Yifan Xu, Chao Zhang, Hanqi Jiang +6

Advancements in foundation models have made it possible to conduct applications in various downstream tasks. Especially, the new era has witnessed a remarkable capability to extend…

cs.CV2024

Examining the Commitments and Difficulties Inherent in Multimodal Foundation Models for Street View Imagery

Zhenyuan Yang, Xuhui Lin, Qinyi He +10

The emergence of Large Language Models (LLMs) and multimodal foundation models (FMs) has generated heightened interest in their applications that integrate vision and language. Thi…

cs.CV2024★ 2 cited

Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning

Chong Ma, Hanqi Jiang, Wenting Chen +10

In the medical multi-modal frameworks, the alignment of cross-modality features presents a significant challenge. However, existing works have learned features that are implicitly…

cs.CV2023★ 7 cited

On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications

Chenjiao Tan, Qian Cao, Yiwei Li +15

The advent of large language models (LLMs) has heightened interest in their potential for multimodal applications that integrate language and vision. This paper explores the capabi…