ArticleFrontiers in artificial intelligence2023
Human-like problem-solving abilities in large language models using ChatGPT.
Article in Frontiers in artificial intelligence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- The Internalized Ableism Inventory: Scale development using a hybrid artificial intelligence and community-based participatory research design.Rehabilitation psychology · 2026Article
- Large language models can detect verbal indicators of romantic attraction.Scientific reports · 2026Article
- Evaluation of Chat Generative Pretrained Transformer's Performance in Cosmetic Injection Consultation by Authoritative Plastic Surgeons.Plastic and reconstructive surgery. Global open · 2026Article
- Large Language Models for Clinical Trial Protocol Assessments.Clinical pharmacology and therapeutics · 2026Article
- A review for navigating the trade-offs: evaluating open-source and proprietary large language models for clinical and biomedical information extraction.Frontiers in digital health · 2026Review
- Evaluating the accuracy and patient perception of AI-generated answers on pectus surgery.Journal of cardiothoracic surgery · 2025Article
- ChatGPT as therapy: A qualitative and network-based thematic profiling of shared experiences, attitudes, and beliefs on Reddit.Journal of psychiatric research · 2025Article
- Proof of concept for voice based MRI scanner control using large language models in real time guided interventions.Scientific reports · 2025Article
- Evaluation of Large Language Model Performance in Answering Clinical Questions on Periodontal Furcation Defect Management.Dentistry journal · 2025Article
- Avatars in the educational metaverse.Visual computing for industry, biomedicine, and art · 2025Review
- Leveraging In Silico and Artificial Intelligence Models to Advance Drug Disposition and Response Predictions Across the Lifespan.Clinical and translational science · 2025Review
- Evaluation of ChatGPT as a Reliable Source of Medical Information on Prostate Cancer for Patients: Global Comparative Survey of Medical Oncologists and Urologists.Urology practice · 2025Article
- Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications.Journal of clinical medicine · 2025Review
- Protocol for human evaluation of generative artificial intelligence chatbots in clinical consultations.PloS one · 2025Article
- Privacy-, linguistic-, and information-preserving synthesis of clinical documentation through generative agents.Frontiers in artificial intelligence · 2025Article
- A multidimensional approach to the self in non-human animals through the Pattern Theory of Self.Frontiers in psychology · 2025Article
- Quantum leap in medical mentorship: exploring ChatGPT's transition from textbooks to terabytes.Frontiers in medicine · 2025Review
- Assessing the quality of AI information from ChatGPT regarding oral surgery, preventive dentistry, and oral cancer: An exploration study.The Saudi dental journal · 2024Article
- Relation extraction using large language models: a case study on acupuncture point locations.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Performance of ChatGPT in the In-Training Examination for Anesthesiology and Pain Medicine Residents in South Korea: Observational Study.JMIR medical education · 2024Observational
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4 authors.
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Abstract
Backgrounds: The field of Artificial Intelligence (AI) has seen a major shift in recent years due to the development of new Machine Learning (ML) models such as Generative Pre-trained Transformer (GPT). GPT has achieved previously unheard-of levels of accuracy in most computerized language processing tasks and their chat-based variations. Aim: The aim of this study was to investigate the problem-solving abilities of ChatGPT using two sets of verbal insight problems, with a known performance level established by a sample of human participants. Materials and methods: A total of 30 problems labeled as " Results: The study highlighted that ChatGPT can be trained in out-of-the-box thinking and demonstrated potential in solving verbal insight problems. The global performance of ChatGPT equalled the most probable outcome for the human sample in both Conclusions: The use of transformer architecture and self-attention in ChatGPT may have helped to prioritize inputs while predicting, contributing to its potential in verbal insight problem-solving. ChatGPT has shown potential in solving insight problems, thus highlighting the importance of incorporating AI into psychological research. However, it is acknowledged that there are still open challenges. Indeed, further research is required to fully understand AI's capabilities and limitations in verbal problem-solving.
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