Clarity Without Credibility? Human Versus AI Abstracts in Otolaryngology
ABSTRACT Objective This study evaluated whether otolaryngologists can distinguish between human‐ and machine‐written abstracts. The primary question was whether large language models (LLMs) produce abstracts comparable in clarity and usefulness to human‐authored work, and whether reviewers can identify authorship with accuracy.
Sholem Hack +12 more
wiley +1 more source
An entropy-based study of Simplification in ChatGPT translations compared to neural machine translation and human translation across genres. [PDF]
Yao G, Fan L.
europepmc +1 more source
Graph convolution-based techniques for pragmatic Arabic figurative language classification. [PDF]
Banou Z +5 more
europepmc +1 more source
From Ambiguous Queries to Verifiable Insights: A Task‐Driven Framework for LLM‐Powered SOC Analysis⋆
ABSTRACT Security operations centre (SOC) analysts must investigate alerts, correlate threat intelligence and interpret heterogeneous telemetry under tight timing constraints. Although large language models (LLMs) offer strong understanding capabilities, directly applying them to SOC environments remains challenging due to semantic ambiguity in analyst
Huan Zhang +5 more
wiley +1 more source
Using N400 Event-Related Potential to Detect Differences in Design-Mode and Belief-Mode Scaffold Use. [PDF]
Yuan G, Begum J, Yuvaraj R, Teo CL.
europepmc +1 more source
How sleeping minds decide: State-specific reconfigurations of lexical decision-making. [PDF]
Xia T +7 more
europepmc +1 more source
ConversationAlign: Open-source software for analyzing patterns of lexical use and alignment in conversation transcripts. [PDF]
Sacks B +7 more
europepmc +1 more source
When the meaningless make sense: Wordlikeness and affective norms for 4,800 pseudowords and 1,200 Spanish words. [PDF]
Martínez-Tomás C +4 more
europepmc +1 more source
Lexical alignment persists across a 12 h interval but is unaffected by sleep versus wake. [PDF]
Qiu Y, Ball LV, Gaskell MG, Ferguson HJ.
europepmc +1 more source
On the interface between linguistics, computer science and psychiatry: analyzing textual key-factors affecting BERT-based classification of schizophrenia in social media texts. [PDF]
Miranda E Silva JV +2 more
europepmc +1 more source

