Papers by Wensong Wang

2 papers
VENUS: A VLLM-driven Video Content Discovery System for Real Application Scenarios (2025.emnlp-industry)

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Challenge: Video Content Discovery (VCD) is to identify specific videos defined by a pre-specified text policy.
Approach: They propose a Vision-Language Large Model-driven video content discovery system called VENUS to solve these problems.
Outcome: The proposed system generates high-quality, VCD-specific data for model training and extends it to support it better.
Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods (2026.acl-long)

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Challenge: Recent efforts to accelerate inference in Multimodal Large Language Models have focused on visual token compression.
Approach: They propose a framework that leverages downsampling as a discriminator to denoise existing benchmarks.
Outcome: The proposed evaluation framework leverages downsampling as a discriminator to denoise existing benchmarks.

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