3 papers
cs.CV2025
ChineseVideoBench: Benchmarking Multi-modal Large Models for Chinese Video Question Answering
Yuxiang Nie, Han Wang, Yongjie Ye +15
This paper introduces ChineseVideoBench, a pioneering benchmark specifically designed for evaluating Multimodal Large Language Models (MLLMs) in Chinese Video Question Answering. T…
cs.IR2025
SUMMA: A Multimodal Large Language Model for Advertisement Summarization
Weitao Jia, Shuo Yin, Zhoufutu Wen +6
Understanding multimodal video ads is crucial for improving query-ad matching and relevance ranking on short video platforms, enhancing advertising effectiveness and user experienc…
cs.CL2025
ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models
Yuanfeng Xu, Zehui Dai, Jian Liang +4
Small Language Models (SLMs) are a cost-effective alternative to Large Language Models (LLMs), but often struggle with complex reasoning due to their limited capacity and a tendenc…