Academic
arXiv:2602.15843v1 Announce Type: cross Abstract: In "Compress or Route?" (Johnson, 2026), we found that code generation tolerates aggressive prompt compression (r >= 0.6) while chain-of-thought …
arXiv:2602.15844v1 Announce Type: cross Abstract: The Web is a rich source of structured data in the form of tables, from product catalogs and knowledge bases …
arXiv:2602.15847v1 Announce Type: cross Abstract: Personality steering in large language models (LLMs) commonly relies on injecting trait-specific steering vectors, implicitly assuming that personality traits can …
Artificial Intelligence (AI) plays a crucial role in the legal field today, carrying out processes such as predictive analysis, data interpretation, and decision making. AI …
Abstract Aim To develop a consensus paper on the central points of an international invitational think‐tank on nursing and artificial intelligence (AI). Methods We established …
Artificial intelligence (AI) has emerged as a crucial tool in healthcare with the primary aim of improving patient outcomes and optimizing healthcare delivery. By harnessing …
arXiv:2602.15848v1 Announce Type: cross Abstract: This study validates Large Language Models (LLMs) as a dynamic alternative to questionnaire-based personality assessment. Using a within-subjects experiment (N=33), …
arXiv:2602.15849v1 Announce Type: cross Abstract: Peer review relies on substantive, evidence-based questions, yet existing LLM-based approaches often generate surface-level queries, drawing over 50\% of their …
arXiv:2602.15851v1 Announce Type: cross Abstract: Applications of narrative theories using large language models (LLMs) deliver promising use-cases in automatic story generation and understanding tasks. Our …
