一作ACL 2026Poster· Natural Language Processing
ARK : Answer-Centric Retriever Tuning via KG -augmented Curriculum Learning
Jiawei Zhou · Hang Ding · Haiyun Jiang
摘要
Retrieval-Augmented Generation (RAG) has emerged as a powerful framework for knowledge-intensive tasks, yet its effectiveness in long-context scenarios is often bottlenecked by the retriever’s inability to distinguish sparse yet crucial evidence. Standard retrievers, optimized for query-document...