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20212026
most citedA Study of Situational Reasoning for Traffic Understanding

8 citations · 22 across the 11 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.CV2024

Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions

Jiarui Zhang, Ollie Liu, Tianyu Yu +2

Multimodal large language models (MLLMs) have made rapid progress in recent years, yet continue to struggle with low-level visual perception (LLVP) -- particularly the ability to a…

cs.CL2024

Guided Profile Generation Improves Personalization with LLMs

Jiarui Zhang

In modern commercial systems, including Recommendation, Ranking, and E-Commerce platforms, there is a trend towards improving customer experiences by incorporating Personalization…

cs.CV2024

MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning

Yifan Jiang, Jiarui Zhang, Kexuan Sun +5

While multi-modal large language models (MLLMs) have shown significant progress on many popular visual reasoning benchmarks, whether they possess abstract visual reasoning abilitie…

cs.CV2024★ 1 cited

Exploring Perceptual Limitation of Multimodal Large Language Models

Jiarui Zhang, Jinyi Hu, Mahyar Khayatkhoei +2

Multimodal Large Language Models (MLLMs) have recently shown remarkable perceptual capability in answering visual questions, however, little is known about the limits of their perc…

cs.CL2024★ 3 cited

The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models

Kian Ahrabian, Zhivar Sourati, Kexuan Sun +4

While large language models (LLMs) are still being adopted to new domains and utilized in novel applications, we are experiencing an influx of the new generation of foundation mode…