54 citations · 74 across the 6 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.CL2023★ 10 cited
FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models
Xin Guo, Haotian Xia, Zhaowei Liu +14
Large language models have demonstrated outstanding performance in various natural language processing tasks, but their security capabilities in the financial domain have not been…
cs.AI2023★ 4 cited
Flows: Building Blocks of Reasoning and Collaborating AI
Martin Josifoski, Lars Klein, Maxime Peyrard +8
Recent advances in artificial intelligence (AI) have produced highly capable and controllable systems. This creates unprecedented opportunities for structured reasoning as well as…
cs.CL2023★ 54 cited
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs
Miao Xiong, Zhiyuan Hu, Xinyang Lu +4
Empowering large language models to accurately express confidence in their answers is essential for trustworthy decision-making. Previous confidence elicitation methods, which prim…