2 papers
cs.AI2026
Cross-Relational Preference Learning for Better LLM Instruction Following
Runsheng Li, Kai Sun, Bin Shi +1
Large Language Models (LLMs) still exhibit limited capability in following complex instructions. While existing approaches often rely on preference learning to enhance this ability…
cs.CV2026
Mitigating Instance Entanglement in Instance-Dependent Partial Label Learning
Rui Zhao, Bin Shi, Kai Sun +1
Partial label learning is a prominent weakly supervised classification task, where each training instance is ambiguously labeled with a set of candidate labels. In real-world scena…