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1,213 claims from 764 papers are on the record. 45 have been checked so far; the other 1,168 have no check with a result yet.

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Status: Unchecked ×Keyword: GPT-3.5 ×Clear all

8 claims from 4 papers

1. Medicine › Artificial Intelligence in Healthcare and Education

   Can large language models reason about medical questions?

   Liévin, Hother, Geert and Ole · arXiv (Cornell University) · 2022

   Unchecked3 claims
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   1. Unchecked“Based on an expert annotation of the generated CoTs, we found that InstructGPT can often read, reason and recall expert knowledge.”
   2. Unchecked“Last, by leveraging advances in prompt engineering (few-shot and ensemble methods), we demonstrated that GPT-3.5 not only yields calibrated predictive distributions, but also reaches the passing score on three datasets: MedQA-USMLE 60.2%, MedMCQA 62.7% and P…
   3. Unchecked“Open-source models are closing the gap: Llama-2 70B also passed the MedQA-USMLE with 62.5% accuracy.”

2. Medicine › Artificial Intelligence in Healthcare and Education

   Implementing Large Language Models in Health Care: Clinician-Focused Review With Interactive Guideline

   Li, Fu and Python · Journal of Medical Internet Research · 2025

   Unchecked2 claims
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   1. Unchecked“GPT-3.5 and GPT-4 were the most versatile models in the 5-stage clinical workflow, applied to 52% (29/56) and 71% (40/56) of the clinical subtasks, respectively, and they performed best in 29% (16/56) and 54% (30/56) of the clinical subtasks, respectively.”
   2. Unchecked“However, we did not find evidence of generalist clinical LLMs successfully applicable to a wide range of clinical tasks.”

3. Computer Science › Spam and Phishing Detection

   Prompting Large Language Models for Malicious Webpage Detection

   Li and Gong · IEEE International Conference on Pattern Recognition and Machine Learning (PRML) · 2023

   Unchecked1 claim
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   1. Unchecked“Experimental results show that our proposed approach achieves comparable or even better performance than deep learning baselines.”

4. Biochemistry, Genetics and Molecular Biology › Biomedical Text Mining and Ontologies

   Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification

   Chen, Li, Lu et al. · arXiv (Cornell University) · 2023

   Unchecked2 claims
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   1. Unchecked“Despite the excitement around viral ChatGPT, we found that fine-tuning for two fundamental NLP tasks remained the best strategy.”
   2. Unchecked“The simple BoW model performed on par with the most complex LLM prompting.”