Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering

20 February 2025

Papers citing "Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering"

5 / 5 papers shown

Title
FamilyTool: A Multi-hop Personalized Tool Use Benchmark Yuxin Wang Yiran Guo Y. Zheng Zhangyue Yin S. Chen Jie Yang Jiajun Chen Xuanjing Huang Xipeng Qiu 19 0 0 09 Apr 2025
KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs Elan Markowitz Krupa Galiya Greg Ver Steeg Aram Galstyan 18 0 0 09 Apr 2025
A Pilot Empirical Study on When and How to Use Knowledge Graphs as Retrieval Augmented Generation Xujie Yuan Y. Liu Shimin Di Shiwen Wu Libin Zheng Rui Meng Lei Chen Xiaofang Zhou Jian Yin 28 0 0 28 Feb 2025
Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models Yuan Sui Yufei He Tri Cao Simeng Han Bryan Hooi LRM AI4CE 40 5 0 27 Feb 2025
Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals? Yufei He Yuexin Li Jiaying Wu Yuan Sui Yulin Chen Bryan Hooi ALM 80 5 0 16 Feb 2025