5 papers
Democratizing Music Therapy: LLM-Based Automated EEG Analysis and Progress Tracking for Low-Cost Home Devices
Huixin Xue, Guangjun Xu, Shihong Ren +5
Home-based music therapy devices require accessible and cost-effective solutions for users to understand and track their therapeutic progress. Traditional physiological signal anal…
DeepSlide: From Artifacts to Presentation Delivery
Ming Yang, Zhiwei Zhang, Jiahang Li +3
Presentations are a primary medium for scholarly communication, yet most AI slide generators optimize the artifact (a visually plausible deck) while under-optimizing the delivery p…
The ICASSP 2026 Automatic Song Aesthetics Evaluation Challenge
Guobin Ma, Yuxuan Xia, Jixun Yao +5
This paper summarizes the ICASSP 2026 Automatic Song Aesthetics Evaluation (ASAE) Challenge, which focuses on predicting the subjective aesthetic scores of AI-generated songs. The…
Rewarding Creativity: A Human-Aligned Generative Reward Model for Reinforcement Learning in Storytelling
Zhaoyan Li, Hang Lei, Yujia Wang +3
While Large Language Models (LLMs) can generate fluent text, producing high-quality creative stories remains challenging. Reinforcement Learning (RL) offers a promising solution bu…
Beyond Direct Generation: A Decomposed Approach to Well-Crafted Screenwriting with LLMs
Hang Lei, Shengyi Zong, Zhaoyan Li +3
The screenplay serves as the foundation for television production, defining narrative structure, character development, and dialogue. While Large Language Models (LLMs) show great…