Research graph
References from Exploring transformer models: Fine-tuning VS inference on relation extraction from biomedical texts. Local targets link to admitted publications; unresolved targets remain external evidence.
Exploring semi-supervised variational autoencoders for biomedical relation extraction
10.1016/j.ymeth.2019.02.021 · 2019 · External reference
The ddi corpus: an annotated corpus with pharmacological substances and drug–drug interactions
10.1016/j.jbi.2013.07.011 · 2013 · External reference
BERT: pre-training of deep bidirectional transformers for language understanding
2018 · External reference
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Language models are few-shot learners
2020 · External reference
BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
2019 · External reference
Exploring the limits of transfer learning with a unified text-to-text transformer
2019 · External reference
Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks
10.1093/jamia/ocaf045 · 2025 · External reference
10.1145/3744746
10.1145/3744746 · External reference
Model tuning or prompt tuning? A study of large language models for clinical concept and relation extraction
10.1016/j.jbi.2024.104630 · 2024 · External reference
10.63317/2x38wgwt3eai
10.63317/2x38wgwt3eai · External reference
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Domain-specific language model pretraining for biomedical natural language processing
2021 · External reference
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2017 · External reference
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2021 · External reference
Pre-trained language models and their applications
10.1016/j.eng.2022.04.024 · 2023 · External reference
Location-enhanced syntactic knowledge for biomedical relation extraction
10.1016/j.jbi.2024.104676 · 2024 · External reference
Biomedrag: a retrieval augmented large language model for biomedicine
2025 · External reference
10.1016/j.csbj.2024.09.030
10.1016/j.csbj.2024.09.030 · External reference
10.1016/j.csbj.2024.10.050 · Admitted local publication
Synthetic data generation methods in healthcare: a review on open-source tools and methods
10.1016/j.csbj.2024.07.005 · 2024 · External reference
10.1016/j.csbj.2023.09.014
10.1016/j.csbj.2023.09.014 · External reference
Biotextquest v2. 0: an evolved tool for biomedical literature mining and concept discovery
10.1016/j.csbj.2024.08.016 · 2024 · External reference
10.1016/j.csbj.2024.10.017 · Admitted local publication
10.1016/j.csbj.2024.06.006 · Admitted local publication
Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research
10.1186/s12859-015-0472-9 · 2015 · External reference
Unresolved reference
2017 · External reference
Attention is all you need
2023 · External reference
Biobert: a pre-trained biomedical language representation model for biomedical text mining
10.1093/bioinformatics/btz682 · 2019 · External reference
10.18653/v1/2022.findings-emnlp.398
10.18653/v1/2022.findings-emnlp.398 · 2022 · External reference
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10.18653/v1/w19-1909
10.18653/v1/w19-1909 · 2019 · External reference
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Me-Llama: foundation large language models for medical applications
2024 · External reference
A survey on retrieval-augmentation generation (RAG) models for healthcare applications
2025 · External reference
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2023 · External reference
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10.18653/v1/2020.emnlp-demos.6
10.18653/v1/2020.emnlp-demos.6 · External reference
Scaling instruction-finetuned language models
2024 · External reference
10.1016/j.jocs.2024.102523
10.1016/j.jocs.2024.102523 · External reference
A survey on augmenting knowledge graphs (KGs) with large language models (LLMs): models, evaluation metrics, benchmarks, and challenges
10.1007/s44163-024-00175-8 · 2024 · External reference
