Copertina

Recalibrating the Compass: Integrating Large Language Models into Classical Research Methods

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Peng, Tai-Quan, Yang, Xuzhen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Computers and Society
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Exploring Social Desirability Response Bias in Large Language Models: Evidence from GPT-4 Simulations
di: Lee, Sanguk, et al.
Pubblicazione: (2024)

Beyond Partisan Leaning: A Comparative Analysis of Political Bias in Large Language Models
di: Peng, Tai-Quan, et al.
Pubblicazione: (2024)

The Ethical Compass of the Machine: Evaluating Large Language Models for Decision Support in Construction Project Management
di: Azie, Somtochukwu, et al.
Pubblicazione: (2025)

Do LLM-Driven Agents Exhibit Engagement Mechanisms? Controlled Tests of Information Load, Descriptive Norms, and Popularity Cues
di: Peng, Tai-Quan, et al.
Pubblicazione: (2026)

A Study on Individual Spatiotemporal Activity Generation Method Using MCP-Enhanced Chain-of-Thought Large Language Models
di: Zhang, Yu, et al.
Pubblicazione: (2025)

Reconciling Methodological Paradigms: Employing Large Language Models as Novice Qualitative Research Assistants in Talent Management Research
di: Bhaduri, Sreyoshi, et al.
Pubblicazione: (2024)

Measuring Research Convergence in Interdisciplinary Teams Using Large Language Models and Graph Analytics
di: Li, Wenwen, et al.
Pubblicazione: (2026)

Evaluation of Large Language Models in Legal Applications: Challenges, Methods, and Future Directions
di: Hu, Yiran, et al.
Pubblicazione: (2026)

Chain of Alignment: Integrating Public Will with Expert Intelligence for Language Model Alignment
di: Konya, Andrew, et al.
Pubblicazione: (2024)

Using Large Language Models to Assess Teachers' Pedagogical Content Knowledge
di: Yang, Yaxuan, et al.
Pubblicazione: (2025)

Aligning Large Language Models with Healthcare Stakeholders: A Pathway to Trustworthy AI Integration
di: Ding, Kexin, et al.
Pubblicazione: (2025)

Fairness Testing of Large Language Models in Role-Playing
di: Li, Xinyue, et al.
Pubblicazione: (2024)

OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models
di: Sun, Hao, et al.
Pubblicazione: (2025)

Evaluation of Bias Towards Medical Professionals in Large Language Models
di: Chen, Xi, et al.
Pubblicazione: (2024)

Bad Actor, Good Advisor: Exploring the Role of Large Language Models in Fake News Detection
di: Hu, Beizhe, et al.
Pubblicazione: (2023)

The Moral Mind(s) of Large Language Models
di: Seror, Avner
Pubblicazione: (2024)

Psychological Counseling Ability of Large Language Models
di: Peng, Fangyu, et al.
Pubblicazione: (2025)

Beyond Instrumental and Substitutive Paradigms: Introducing Machine Culture as an Emergent Phenomenon in Large Language Models
di: Hu, Yueqing, et al.
Pubblicazione: (2026)

Enhancing tutoring systems by leveraging tailored promptings and domain knowledge with Large Language Models
di: Balavar, Mohsen, et al.
Pubblicazione: (2025)

Content Knowledge Identification with Multi-Agent Large Language Models (LLMs)
di: Yang, Kaiqi, et al.
Pubblicazione: (2024)

Bridging Technology and Humanities: Evaluating the Impact of Large Language Models on Social Sciences Research with DeepSeek-R1
di: Gu, Peiran, et al.
Pubblicazione: (2025)

DropMicroFluidAgents (DMFAs): Autonomous Droplet Microfluidic Research Framework Through Large Language Model Agents
di: Nguyen, Dinh-Nguyen, et al.
Pubblicazione: (2024)

Correlated Errors in Large Language Models
di: Kim, Elliot, et al.
Pubblicazione: (2025)

Differences in the Moral Foundations of Large Language Models
di: Kirgis, Peter
Pubblicazione: (2025)

Islamic Chatbots in the Age of Large Language Models
di: Ahmad, Muhammad Aurangzeb
Pubblicazione: (2025)

Scientific production in the era of Large Language Models
di: Kusumegi, Keigo, et al.
Pubblicazione: (2026)

MDK12-Bench: A Comprehensive Evaluation of Multimodal Large Language Models on Multidisciplinary Exams
di: Zhou, Pengfei, et al.
Pubblicazione: (2025)

On the Creativity of Large Language Models
di: Franceschelli, Giorgio, et al.
Pubblicazione: (2023)

Can Large Language Models Develop Gambling Addiction?
di: Lee, Seungpil, et al.
Pubblicazione: (2025)

Analyzing the Ethical Logic of Six Large Language Models
di: Neuman, W. Russell, et al.
Pubblicazione: (2025)

Cultural Compass: A Framework for Organizing Societal Norms to Detect Violations in Human-AI Conversations
di: Cheng, Myra, et al.
Pubblicazione: (2026)

Measuring Political Stance and Consistency in Large Language Models
di: Alali, Salah Feras, et al.
Pubblicazione: (2026)

Large Language Models as Partners in Student Essay Evaluation
di: Ishida, Toru, et al.
Pubblicazione: (2024)

Sociodemographic Biases in Educational Counselling by Large Language Models
di: Adamczyk, Tomasz, et al.
Pubblicazione: (2026)

Can Large Language Models Capture Public Opinion about Global Warming? An Empirical Assessment of Algorithmic Fidelity and Bias
di: Lee, S., et al.
Pubblicazione: (2023)

Working with Large Language Models to Enhance Messaging Effectiveness for Vaccine Confidence
di: Gullison, Lucinda, et al.
Pubblicazione: (2025)

Cross-Language Bias Examination in Large Language Models
di: Liang, Yuxuan, et al.
Pubblicazione: (2025)

Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning
di: Duan, Shitong, et al.
Pubblicazione: (2023)

The Refutability Gap: Challenges in Validating Reasoning by Large Language Models
di: Mossel, Elchanan
Pubblicazione: (2025)

Benchmarking Large Language Models on Homework Assessment in Circuit Analysis
di: Chen, Liangliang, et al.
Pubblicazione: (2025)