Research graph
References from Systematic assessment of text summarization methods for biomedical literature from frequency methods to language models. Local targets link to admitted publications; unresolved targets remain external evidence.
A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods
2025 · External reference
A Systematic Survey of Text Summarization: From Statistical Methods to Large Language Models
2025 · External reference
An exploratory study of automatic text summarization in biomedical and healthcare domain
2022 · External reference
A survey for biomedical text summarization: From pre-trained to large language models
2023 · External reference
Benchmarking large language models for biomedical natural language processing applications and recommendations
10.1038/s41467-025-56989-2 · 2025 · External reference
Benchmarking large language models for biomedical literature summarization: Abstractive versus extractive paradigms
10.1109/access.2025.3604351 · 2025 · External reference
Benchmarking intelligent large language models for biomedical text summarization: A performance evaluation
2025 · External reference
The automatic creation of literature abstracts
10.1147/rd.22.0159 · 1958 · External reference
New methods in automatic extracting
10.1145/321510.321519 · 1969 · External reference
Understanding inverse document frequency: On theoretical arguments for idf
10.1108/00220410410560582 · 2004 · External reference
Concept frequency distribution in biomedical text summarization
2006 · External reference
TextRank: Bringing order into text
2004 · External reference
Clinical context–aware biomedical text summarization using deep neural network: Model development and validation
10.2196/19810 · 2020 · External reference
Automated multi-document biomedical text summarization using deep learning model
2022 · External reference
Attention is all you need
2017 · External reference
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
2019 · External reference
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
2020 · External reference
BioBART: Pretraining and evaluation of a biomedical generative language model
2022 · External reference
Medical text summarization using bart with lora-based parameter efficient fine tuning
2024 · External reference
Exploring the limits of transfer learning with a unified text-to-text transformer
2020 · External reference
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
2020 · External reference
Longformer: The long-document transformer
2020 · External reference
Scientific article summarization model with unbounded input length
10.20535/2786-8729.5.2024.314724 · 2024 · External reference
Unresolved reference
External reference
Constitutional ai: Harmlessness from ai feedback
2022 · External reference
The llama 3 herd of models
2024 · External reference
Gemma 3 technical report
2025 · External reference
Multi-Step Reasoning with Large Language Models, a Survey
10.1145/3774896 · 2025 · External reference
A review of deepseek models’ key innovative techniques
2025 · External reference
Qwen3 technical report
2025 · External reference
Magistral
2025 · External reference
Unresolved reference
External reference
BioGPT: generative pre-trained transformer for biomedical text generation and mining
10.1093/bib/bbac409 · 2022 · External reference
BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domains
2024 · External reference
SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding
2025 · External reference
LLM Evaluators Recognize and Favor Their Own Generations
2024 · External reference
Self-Preference Bias in Rubric-Based Evaluation of Large Language Models
2026 · External reference
Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance
2025 · External reference
Scaling Data-Constrained Language Models
2023 · External reference
Biomedical large languages models seem not to be superior to generalist models on unseen medical data
2024 · External reference
Unresolved reference
External reference
Reasoning or not? A comprehensive evaluation of reasoning LLMs for dialogue summarization
10.1016/j.eswa.2025.129831 · 2026 · External reference
FEQA: A question answering evaluation framework for faithfulness assessment in abstractive summarization
2020 · External reference
Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI’s LLM with Open Source SLMs in Production
10.1109/ispass61541.2024.00034 · 2024 · External reference
DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
2024 · External reference
Demonstrate-search-predict: Composing retrieval and language models for knowledge-intensive nlp
2023 · External reference
Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels
2026 · External reference
Data structures for statistical computing in python
10.25080/majora-92bf1922-00a · 2010 · External reference
Scikit-learn: Machine learning in Python
2011 · External reference
Exploring network structure, dynamics, and function using NetworkX
10.25080/tcwv9851 · 2008 · External reference
Unresolved reference
2009 · External reference
ROUGE: A package for automatic evaluation of summaries
2004 · External reference
BERTScore: Evaluating Text Generation with BERT
2020 · External reference
Unresolved reference
2019 · External reference
AlignScore: Evaluating Factual Consistency with A Unified Alignment Function
2019 · External reference
SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
10.1162/tacl_a_00453 · 2022 · External reference
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
2024 · External reference
Transformers: State-of-the-art natural language processing
2020 · External reference
Roberta: A robustly optimized bert pretraining approach
2019 · External reference
DeBERTa: Decoding-enhanced BERT with Disentangled Attention
2021 · External reference
MPNet: Masked and Permuted Pre-training for Language Understanding
2020 · External reference
The tripod-llm reporting guideline for studies using large language models
10.1038/s41591-024-03425-5 · 2025 · External reference
Small language models are the future of agentic ai
2025 · External reference
Bleu: a method for automatic evaluation of machine translation
2002 · External reference
METEOR: An automatic metric for MT evaluation with improved correlation with human judgments
2005 · External reference
SummEval: Re-evaluating Summarization Evaluation
10.1162/tacl_a_00373 · 2021 · External reference
Unresolved reference
2012 · External reference
Judging LLM-as-a-judge with MT-bench and chatbot arena
2023 · External reference
Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models
2024 · External reference
G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
2023 · External reference
The anatomy of a large-scale hypertextual web search engine
10.1016/s0169-7552(98)00110-x · 1998 · External reference
