Bias in, symbolic compliance out? GPT's reliance on gender and race in strategic evaluations
Abstract Research summary Organizations are increasingly using large language models (LLMs) to support strategic evaluations. We examine whether and how these systems rely on gender and race. We asked GPT to evaluate identical startup pitches varying only the founder's name, shaping gender and race perceptions.
Tristan L. Botelho, Qingyang (Iris) Wang
wiley +1 more source
Representations of Nonlocal Syntactic Dependencies Feed Verb Learning in Infancy. [PDF]
Perkins L, Ying Y, Williams A, Lidz J.
europepmc +1 more source
During host recognition, the fibers of T7 bacteriophages transition from a capsid bound state to an extended conformation, which requires some level of fiber flexibility. By using high‐speed atomic force microscopy, we show that the fibers have an internal molecular hinge and a torsionally compliant coiled‐coil region.
Luca Elizabet Kosik +16 more
wiley +1 more source
Automatic text readability assessment for educational content based on graph representation learning. [PDF]
Zhang L +8 more
europepmc +1 more source
A Large Language Model‐Based Approach for Fault Detection and Its Application
This work proposes an interpretable fault detection framework utilizing pre‐trained large language models to overcome small sample sizes and label scarcity in industrial datasets. A stepwise tuple‐based validation mitigates hallucinations, ensuring reliable detection.
Yihua Ye, Yin Zhu, Liming Che, Hua Zhou
wiley +1 more source
Detection of exercising ectopic atrial and ventricular beats using non-linear analysis of clinically normal racehorse electrocardiograms at rest or low-intensity exercise. [PDF]
Alexeenko V +8 more
europepmc +1 more source
ABSTRACT As Large Language Models (LLMs) are increasingly deployed within the systems engineering domain, optimizing these models to balance performance accuracy and cost for given computational resources becomes essential. One process for finding the right balance is quantization, a process that involves converting model parameters from higher ...
Ryan Bell +2 more
wiley +1 more source
Machine translationese of large language models: Dependency triplets, text classification, and SHAP analysis. [PDF]
Zhang S, Zhao C.
europepmc +1 more source
Baselining Large Language Model Performance in Systems Engineering Using SysEngBench
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell +3 more
wiley +1 more source
A visual question answering method based on task decomposition. [PDF]
Cong Y, Mo H.
europepmc +1 more source

