3 papers
cs.IR2026
CQC-RAG: Robust Retrieval-Augmented Generation via Cross-Query Consistency
Yanjia Sun, Sifan Liu, Jie Shao
Retrieval-Augmented Generation (RAG) has become a common approach for improving the factuality of Large Language Models (LLMs), yet its reliability remains highly sensitive to how…
cs.AI2026
Towards Better Evolution Modeling for Temporal Knowledge Graphs
Zhang Jiasheng, Li Zhangpin, Wang Mingzhe +3
Temporal knowledge graphs (TKGs) structurally preserve evolving human knowledge. Recent research has focused on designing models to learn the evolutionary nature of TKGs to predict…
cs.SI2025
LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs
Jiasheng Zhang, Jialin Chen, Ali Maatouk +6
With the advent of large language models (LLMs), managing scientific literature via LLMs has become a promising direction of research. However, existing approaches often overlook t…