134 citations · 141 across the 9 of their papers we have counts for
4 papers · 1 filter
Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text
Xiaoliang Luo, Michael Ramscar, Bradley C. Love
The impressive performance of large language models (LLMs) has led to their consideration as models of human language processing. Instead, we suggest that the success of LLMs arise…
Confidence-weighted integration of human and machine judgments for superior decision-making
Felipe Yáñez, Xiaoliang Luo, Omar Valerio Minero +1
Large language models (LLMs) can surpass humans in certain forecasting tasks. What role does this leave for humans in the overall decision process? One possibility is that humans,…
Matching domain experts by training from scratch on domain knowledge
Xiaoliang Luo, Guangzhi Sun, Bradley C. Love
Recently, large language models (LLMs) have outperformed human experts in predicting the results of neuroscience experiments (Luo et al., 2024). What is the basis for this performa…
Large language models surpass human experts in predicting neuroscience results
Xiaoliang Luo, Akilles Rechardt, Guangzhi Sun +36
Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offe…