1 citations · 1 across the 2 of their papers we have counts for
4 papers
MM-StoryAgent: Immersive Narrated Storybook Video Generation with a Multi-Agent Paradigm across Text, Image and Audio
Xuenan Xu, Jiahao Mei, Chenliang Li +5
The rapid advancement of large language models (LLMs) and artificial intelligence-generated content (AIGC) has accelerated AI-native applications, such as AI-based storybooks that…
WritingBench: A Comprehensive Benchmark for Generative Writing
Yuning Wu, Jiahao Mei, Ming Yan +8
Recent advancements in large language models (LLMs) have significantly enhanced text generation capabilities, yet evaluating their performance in generative writing remains a chall…
Enhancing Zero-shot Audio Classification using Sound Attribute Knowledge from Large Language Models
Xuenan Xu, Pingyue Zhang, Ming Yan +2
Zero-shot audio classification aims to recognize and classify a sound class that the model has never seen during training. This paper presents a novel approach for zero-shot audio…
DiveSound: LLM-Assisted Automatic Taxonomy Construction for Diverse Audio Generation
Baihan Li, Zeyu Xie, Xuenan Xu +5
Audio generation has attracted significant attention. Despite remarkable enhancement in audio quality, existing models overlook diversity evaluation. This is partially due to the l…