EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models

Zekun Wang, MingHua Ma, Zexin Wang, Rongchuan Mu, Liping Shan, Ming Liu, Bing Qin. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.acl-long.1242
Citations
2
Primary Topic
Multimodal Machine Learning Applications
Type
article
Field-Weighted Citation Impact
2.55
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article

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models

Bing Qin, Rong Mu, Zexin Wang, Libo Shan et al.
2 citations
Multimodal Machine Learning Applications
2.55
article

EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models

Bing Qin, Rong Mu, Zexin Wang, Libo Shan, Minghua Ma, Ming Liu, Zekun Wang
article en
2 citations

Abstract

Zekun Wang, MingHua Ma, Zexin Wang, Rongchuan Mu, Liping Shan, Ming Liu, Bing Qin. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025.

Openalex Percentile: Top 10%
Multimodal Machine Learning Applications
2.55
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EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models — Bing Qin, Rong Mu, et al. · (2025) | TGRS Research Map | TGRS