8 citations · 28 across the 19 of their papers we have counts for
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cs.CL2023★ 2 cited
Improving the Reliability of Large Language Models by Leveraging Uncertainty-Aware In-Context Learning
Yuchen Yang, Houqiang Li, Yanfeng Wang +1
In recent years, large-scale language models (LLMs) have gained attention for their impressive text generation capabilities. However, these models often face the challenge of "hall…
cs.CL2023★ 8 cited
Halo: Estimation and Reduction of Hallucinations in Open-Source Weak Large Language Models
Mohamed Elaraby, Mengyin Lu, Jacob Dunn +6
Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP). Although convenient for research and practical applications, open-source LLMs with fewer paramet…