2 papers
cs.AI2023
KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs
Shangshang Zheng, He Bai, Yizhe Zhang +3
Large Language Models (LLMs) might hallucinate facts, while curated Knowledge Graph (KGs) are typically factually reliable especially with domain-specific knowledge. Measuring the…
cs.CL2023
Leveraging Large Language Models for Exploiting ASR Uncertainty
Pranay Dighe, Yi Su, Shangshang Zheng +4
While large language models excel in a variety of natural language processing (NLP) tasks, to perform well on spoken language understanding (SLU) tasks, they must either rely on of…