3 papers
cs.CL2026
DHI: Leveraging Diverse Hallucination Induction for Enhanced Contrastive Factuality Control in Large Language Models
Jiani Guo, Xiangke Zeng, Jie Wu +1
Large language models (LLMs) frequently produce inaccurate or fabricated information, known as "hallucinations," which compromises their reliability. Existing approaches often trai…
cs.CL2026
SongSage: A Large Musical Language Model with Lyric Generative Pre-training
Jiani Guo, Jiajia Li, Jie Wu +3
Large language models have achieved significant success in various domains, yet their understanding of lyric-centric knowledge has not been fully explored. In this work, we first i…
cs.CL2025
TianHui: A Domain-Specific Large Language Model for Diverse Traditional Chinese Medicine Scenarios
Ji Yin, Menglan He, Yujie Zhang +6
Domain-specific LLMs in TCM face limitations in research settings due to constrained adaptability, insufficient evaluation datasets, and limited computational resources. This study…