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Large language models for generative information extraction: A survey
D Xu, W Chen, W Peng, C Zhang, T Xu, X Zhao… - Frontiers of Computer …, 2024 - Springer
Abstract Information Extraction (IE) aims to extract structural knowledge from plain natural
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …
language texts. Recently, generative Large Language Models (LLMs) have demonstrated …
A survey of knowledge enhanced pre-trained language models
Pre-trained Language Models (PLMs) which are trained on large text corpus via self-
supervised learning method, have yielded promising performance on various tasks in …
supervised learning method, have yielded promising performance on various tasks in …
[PDF][PDF] Galactica: A large language model for science
R Taylor, M Kardas, G Cucurull, T Scialom… - 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 …
Does synthetic data generation of llms help clinical text mining?
Recent advancements in large language models (LLMs) have led to the development of
highly potent models like OpenAI's ChatGPT. These models have exhibited exceptional …
highly potent models like OpenAI's ChatGPT. These models have exhibited exceptional …
Artificial intelligence for science in quantum, atomistic, and continuum systems
Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …