Large Language Models Can Better Understand Knowledge Graphs Than We Thought

18 February 2024

Papers citing "Large Language Models Can Better Understand Knowledge Graphs Than We Thought"

5 / 5 papers shown

Title
Unveiling the Lexical Sensitivity of LLMs: Combinatorial Optimization for Prompt Enhancement Pengwei Zhan Zhen Xu Qian Tan Jie Song Ru Xie 22 5 0 31 May 2024
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Akari Asai Zeqiu Wu Yizhong Wang Avirup Sil Hannaneh Hajishirzi RALM 135 600 0 17 Oct 2023
Generate rather than Retrieve: Large Language Models are Strong Context Generators W. Yu Dan Iter Shuohang Wang Yichong Xu Mingxuan Ju Soumya Sanyal Chenguang Zhu Michael Zeng Meng-Long Jiang RALM AIMat 205 318 0 21 Sep 2022
Open Domain Question Answering with A Unified Knowledge Interface Kaixin Ma Hao Cheng Xiaodong Liu Eric Nyberg Jianfeng Gao RALM 115 38 0 16 Oct 2021
K-BERT: Enabling Language Representation with Knowledge Graph Weijie Liu Peng Zhou Zhe Zhao Zhiruo Wang Qi Ju Haotang Deng Ping Wang 213 773 0 17 Sep 2019