Yasha Wang

RNN enhanced Compartmental Model for Infectious Disease Prediction

2024

COVID-19 has caused a pandemic on a global scale and brought about harm to politics, economy, and other fields. It is of great significance to build an epidemic analysis model for better understanding pandemic transmission …

KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models

2025 · Proceedings of the AAAI Conference on Artificial Intelligence

By integrating external knowledge, Retrieval-Augmented Generation (RAG) has become an effective strategy for mitigating the hallucination problems that large language models (LLMs) encounter when dealing with knowledge-intensive tasks. However, in the process of integrating external …

AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning

2025 · arXiv (Cornell University)

Continual learning (CL) is essential for deploying large language models (LLMs) in dynamic real-world environments without the need for costly retraining. Recent model merging-based methods have attracted significant attention, but they still struggle to effectively …

Explainable Recommendation through Attentive Multi-View Learning

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

Recommender systems have been playing an increasingly important role in our daily life due to the explosive growth of information. Accuracy and explainability are two core aspects when we evaluate a recommendation model and have …