Papers by Hongbing Hu

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Papers by Hongbing Hu

Findings

2025.findings-acl

VLMs
IntelliCockpitBench
scoring methodology
human and model-generated assessments
reliability
robust evaluation metric aligning human
vehicle interaction
Visual Question Answering
VQA
automotive VQA

2025

Visual Data in NLP

1 papers

IntelliCockpitBench: A Comprehensive Benchmark to Evaluate VLMs for Intelligent Cockpit (2025.findings-acl)

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Liang Lin, Siyuan Chai, Jiahao Wu, Hongbing Hu, Xiaotao Gu, Hao Hu, Fan Zhang, Wei Wang, Dan Zhang

Visual Data in NLP

Challenge:	Visual Question Answering (VQA) is a key task in vehicular systems.
Approach:	They propose a benchmark that encompasses diverse automotive scenarios . they use images from front, side, and rear cameras, various road types, weather conditions, and interior views .
Outcome:	The proposed benchmark includes images from front, side, and rear cameras, various road types, weather conditions, and interior views.

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