5 citations · 11 across the 10 of their papers we have counts for
Showing 2024 · cs.CLShow all
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cs.CL2024★ 2 cited
Can LLM be a Personalized Judge?
Yijiang River Dong, Tiancheng Hu, Nigel Collier
Ensuring that large language models (LLMs) reflect diverse user values and preferences is crucial as their user bases expand globally. It is therefore encouraging to see the growin…
cs.CL2024
LUQ: Long-text Uncertainty Quantification for LLMs
Caiqi Zhang, Fangyu Liu, Marco Basaldella +1
Large Language Models (LLMs) have demonstrated remarkable capability in a variety of NLP tasks. However, LLMs are also prone to generate nonfactual content. Uncertainty Quantificat…
cs.CL2024★ 5 cited
Quantifying the Persona Effect in LLM Simulations
Tiancheng Hu, Nigel Collier
Large language models (LLMs) have shown remarkable promise in simulating human language and behavior. This study investigates how integrating persona variables-demographic, social,…