4 papers · 1 filter
Supervised Fine Tuning of Large Language Models for Domain Specific Knowledge Graph Construction:A Case Study on Hunan's Historical Celebrities
Junjie Hao, Chun Wang, Ying Qiao +4
Large language models and knowledge graphs offer strong potential for advancing research on historical culture by supporting the extraction, analysis, and interpretation of cultura…
Dr Genre: Reinforcement Learning from Decoupled LLM Feedback for Generic Text Rewriting
Yufei Li, John Nham, Ganesh Jawahar +7
Generic text rewriting is a prevalent large language model (LLM) application that covers diverse real-world tasks, such as style transfer, fact correction, and email editing. These…
Transparent but Powerful: Explainability, Accuracy, and Generalizability in ADHD Detection from Social Media Data
D. Wiechmann, E. Kempa, E. Kerz +1
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent mental health condition affecting both children and adults, yet it remains severely underdiagnosed. Recent advances i…
MANTIS at #SMM4H 2023: Leveraging Hybrid and Ensemble Models for Detection of Social Anxiety Disorder on Reddit
Sourabh Zanwar, Daniel Wiechmann, Yu Qiao +1
This paper presents our system employed for the Social Media Mining for Health 2023 Shared Task 4: Binary classification of English Reddit posts self-reporting a social anxiety dis…