Imagen de Portada

Enhancing Systematic Reviews with Large Language Models: Using GPT-4 and Kimi

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kaptur, Dandan Chen, Huang, Yue, Ji, Xuejun Ryan, Guo, Yanhui, Kaptur, Bradley
Formato:	Preprint
Publicado:	2025
Materias:	Computation and Language Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Evaluating Four Methods for Detecting Differential Item Functioning in Large-Scale Assessments with More Than Two Groups
por: Kaptur, Dandan Chen, et al.
Publicado: (2024)

Examining Differential Item Functioning (DIF) in Self-Reported Health Survey Data: Via Multilevel Modeling
por: Kaptur, Dandan Chen, et al.
Publicado: (2024)

Examinees' Rapid-Guessing Patterns in Computerized Adaptive Testing for Interim Assessment: From Hierarchical Clustering
por: Kaptur, Dandan Chen, et al.
Publicado: (2024)

Dependencies in Item-Adaptive CAT Data and Differential Item Functioning Detection: A Multilevel Framework
por: Kaptur, Dandan Chen, et al.
Publicado: (2024)

Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models
por: Hobelsberger, Christian, et al.
Publicado: (2025)

Personalized Prediction of Perceived Message Effectiveness Using Large Language Model Based Digital Twins
por: Han, Jasmin, et al.
Publicado: (2026)

TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models
por: Devunuri, Saipraneeth, et al.
Publicado: (2024)

Exploring the Comprehension of ChatGPT in Traditional Chinese Medicine Knowledge
por: Yizhen, Li, et al.
Publicado: (2024)

Does a Large Language Model Really Speak in Human-Like Language?
por: Park, Mose, et al.
Publicado: (2025)

Large Language Models for Full-Text Methods Assessment: A Case Study on Mediation Analysis
por: Zhang, Wenqing, et al.
Publicado: (2025)

Judging It, Washing It: Scoring and Greenwashing Corporate Climate Disclosures using Large Language Models
por: Chuang, Marianne, et al.
Publicado: (2025)

A Novel Metric for Measuring the Robustness of Large Language Models in Non-adversarial Scenarios
por: Ackerman, Samuel, et al.
Publicado: (2024)

The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters Exam Performances
por: Nie, Allen, et al.
Publicado: (2024)

LAVA: Language Model Assisted Verbal Autopsy for Cause-of-Death Determination
por: Chen, Yiqun T., et al.
Publicado: (2025)

Bayesian Evaluation of Large Language Model Behavior
por: Longjohn, Rachel, et al.
Publicado: (2025)

Repeated Sequences Reveal Gaps between Large Language Models and Natural Language
por: Tanaka-Ishii, Kumiko
Publicado: (2026)

Metacognitive Myopia in Large Language Models
por: Scholten, Florian, et al.
Publicado: (2024)

Auditing the Use of Language Models to Guide Hiring Decisions
por: Gaebler, Johann D., et al.
Publicado: (2024)

Bias in Language Models: Beyond Trick Tests and Toward RUTEd Evaluation
por: Lum, Kristian, et al.
Publicado: (2024)

Adding Error Bars to Evals: A Statistical Approach to Language Model Evaluations
por: Miller, Evan
Publicado: (2024)

Language Hierarchization Provides the Optimal Solution to Human Working Memory Limits
por: Chen, Luyao, et al.
Publicado: (2026)

Limits of Large Language Models in Debating Humans
por: Flamino, James, et al.
Publicado: (2024)

Language-Dependent Political Bias in AI: A Study of ChatGPT and Gemini
por: Yuksel, Dogus, et al.
Publicado: (2025)

Advanced Crash Causation Analysis for Freeway Safety: A Large Language Model Approach to Identifying Key Contributing Factors
por: Abdelrahman, Ahmed S., et al.
Publicado: (2025)

Contextual Phenotyping of Pediatric Sepsis Cohort Using Large Language Models
por: Nagori, Aditya, et al.
Publicado: (2025)

Sampling the Swadesh List to Identify Similar Languages with Tree Spaces
por: Ordway, Garett, et al.
Publicado: (2024)

Language Markers of Emotion Flexibility Predict Depression and Anxiety Treatment Outcomes
por: Brindle, Benjamin, et al.
Publicado: (2026)

Domain-Shift-Aware Conformal Prediction for Large Language Models
por: Lin, Zhexiao, et al.
Publicado: (2025)

Mind the Unseen Mass: Unmasking LLM Hallucinations via Soft-Hybrid Alphabet Estimation
por: Pan, Hongxing, et al.
Publicado: (2026)

A Design-based Solution for Causal Inference with Text: Can a Language Model Be Too Large?
por: Tierney, Graham, et al.
Publicado: (2025)

How to Choose a Threshold for an Evaluation Metric for Large Language Models
por: Sarmah, Bhaskarjit, et al.
Publicado: (2024)

Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models
por: Wang, Jiankun, et al.
Publicado: (2024)

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis
por: Jantre, Sanket, et al.
Publicado: (2025)

Daily and Weekly Periodicity in Large Language Model Performance and Its Implications for Research
por: Tschisgale, Paul, et al.
Publicado: (2026)

Probing Minimalist Phase Structure in LLMs: What Universal Dependencies Cannot Represent
por: Chen, Yuanhao, et al.
Publicado: (2026)

Context-Alignment: Activating and Enhancing LLM Capabilities in Time Series
por: Hu, Yuxiao, et al.
Publicado: (2025)

Beyond Words: How Large Language Models Perform in Quantitative Management Problem-Solving
por: Kuzmanko, Jonathan
Publicado: (2025)

Dynamic Topic Language Model on Heterogeneous Children's Mental Health Clinical Notes
por: Ye, Hanwen, et al.
Publicado: (2023)

Large Language Model-Based Agents for Automated Research Reproducibility: An Exploratory Study in Alzheimer's Disease
por: Dobbins, Nic, et al.
Publicado: (2025)

Catalysts of Conversation: Examining Interaction Dynamics Between Topic Initiators and Commentors in Alzheimer's Disease Online Communities
por: Ni, Congning, et al.
Publicado: (2024)