Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Can large language models replace humans in systematic reviews? Evaluating GPT‐4's efficacy in screening and extracting data from peer‐reviewed and grey …
Q Khraisha, S Put, J Kappenberg… - Research Synthesis …, 2024 - Wiley Online Library
Systematic reviews are vital for guiding practice, research and policy, although they are
often slow and labour‐intensive. Large language models (LLMs) could speed up and …
often slow and labour‐intensive. Large language models (LLMs) could speed up and …
BERT: a review of applications in natural language processing and understanding
MV Koroteev - ar**
downstream tasks. However, existing methods such as BERT model a single document, and …
downstream tasks. However, existing methods such as BERT model a single document, and …
Domain-specific language model pretraining for biomedical natural language processing
Pretraining large neural language models, such as BERT, has led to impressive gains on
many natural language processing (NLP) tasks. However, most pretraining efforts focus on …
many natural language processing (NLP) tasks. However, most pretraining efforts focus on …
An extensive benchmark study on biomedical text generation and mining with ChatGPT
Motivation In recent years, the development of natural language process (NLP) technologies
and deep learning hardware has led to significant improvement in large language models …
and deep learning hardware has led to significant improvement in large language models …
Fact or fiction: Verifying scientific claims
We introduce scientific claim verification, a new task to select abstracts from the research
literature containing evidence that SUPPORTS or REFUTES a given scientific claim, and to …
literature containing evidence that SUPPORTS or REFUTES a given scientific claim, and to …
[HTML][HTML] An empirical evaluation of prompting strategies for large language models in zero-shot clinical natural language processing: algorithm development and …
S Sivarajkumar, M Kelley… - JMIR Medical …, 2024 - medinform.jmir.org
Background Large language models (LLMs) have shown remarkable capabilities in natural
language processing (NLP), especially in domains where labeled data are scarce or …
language processing (NLP), especially in domains where labeled data are scarce or …
Pre-trained language models in biomedical domain: A systematic survey
Pre-trained language models (PLMs) have been the de facto paradigm for most natural
language processing tasks. This also benefits the biomedical domain: researchers from …
language processing tasks. This also benefits the biomedical domain: researchers from …