3 papers
cs.CL2025
Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions
Kun Zhang, Le Wu, Kui Yu +2
Large Language Models (LLMs) have gained enormous attention in recent years due to their capability of understanding and generating natural languages. With the rapid development an…
cs.LG2025
MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning
Dacao Zhang, Kun Zhang, Shimao Chu +3
With the rapid development of Large Language Models (LLMs), Parameter-Efficient Fine-Tuning (PEFT) methods have gained significant attention, which aims to achieve efficient fine-t…
cs.LG2024★ 1 cited
Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis
Dacao Zhang, Kun Zhang, Le Wu +3
Cognitive Diagnosis~(CD), which leverages students and exercise data to predict students' proficiency levels on different knowledge concepts, is one of fundamental components in In…