2 papers
cs.CL2025
Multi-Agent Retrieval-Augmented Framework for Evidence-Based Counterspeech Against Health Misinformation
Anirban Saha Anik, Xiaoying Song, Elliott Wang +3
Large language models (LLMs) incorporated with Retrieval-Augmented Generation (RAG) have demonstrated powerful capabilities in generating counterspeech against misinformation. Howe…
cs.HC2024
SimTube: Generating Simulated Video Comments through Multimodal AI and User Personas
Yu-Kai Hung, Yun-Chien Huang, Ting-Yu Su +4
Audience feedback is crucial for refining video content, yet it typically comes after publication, limiting creators' ability to make timely adjustments. To bridge this gap, we int…