2 papers
cs.CL2025
Learning Wisdom from Errors: Promoting LLM's Continual Relation Learning through Exploiting Error Cases
Shaozhe Yin, Jinyu Guo, Kai Shuang +2
Continual Relation Extraction (CRE) aims to continually learn new emerging relations while avoiding catastrophic forgetting. Existing CRE methods mainly use memory replay and contr…
cs.SE2025
Trae Agent: An LLM-based Agent for Software Engineering with Test-time Scaling
Trae Research Team, Pengfei Gao, Zhao Tian +12
Software issue resolution is a critical challenge in software engineering and has garnered increasing attention in recent years. With the rapid advancement of large language models…