8 papers
UA-ChatDev: Uncertainty-Aware Multi-Agent Collaboration for Reliable Software Development
Temitayo Olamilekan Ogunsusi, Lijun Qian, Xishuang Dong
Software development is a complex task that demands cooperation among agents with diverse roles. Large language models (LLMs) have enabled autonomous multi-agent software developme…
Multi-task GINN-LP for Multi-target Symbolic Regression
Hussein Rajabu, Lijun Qian, Xishuang Dong
In the area of explainable artificial intelligence, Symbolic Regression (SR) has emerged as a promising approach by discovering interpretable mathematical expressions that fit data…
Systematic Comparative Analysis of Large Pretrained Language Models on Contextualized Medication Event Extraction
Tariq Abdul-Quddoos, Xishuang Dong, Lijun Qian
Attention-based models have become the leading approach in modeling medical language for Natural Language Processing (NLP) in clinical notes. These models outperform traditional te…
Enhancing Learning Path Recommendation via Multi-task Learning
Afsana Nasrin, Lijun Qian, Pamela Obiomon +1
Personalized learning is a student-centered educational approach that adapts content, pace, and assessment to meet each learner's unique needs. As the key technique to implement th…
Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs)
Shouvon Sarker, Xishuang Dong, Lijun Qian
Identification of key variables such as medications, diseases, relations from health records and clinical notes has a wide range of applications in the clinical domain. n2c2 2022 p…
Data Augmentation via Diffusion Model to Enhance AI Fairness
Christina Hastings Blow, Lijun Qian, Camille Gibson +2
AI fairness seeks to improve the transparency and explainability of AI systems by ensuring that their outcomes genuinely reflect the best interests of users. Data augmentation, whi…