A survey on multi-modal summarization
The new era of technology has brought us to the point where it is convenient for people to
share their opinions over an abundance of platforms. These platforms have a provision for …
share their opinions over an abundance of platforms. These platforms have a provision for …
A comprehensive survey on process-oriented automatic text summarization with exploration of llm-based methods
H Jin, Y Zhang, D Meng, J Wang, J Tan - arXiv preprint arXiv:2403.02901, 2024 - arxiv.org
Automatic Text Summarization (ATS), utilizing Natural Language Processing (NLP)
algorithms, aims to create concise and accurate summaries, thereby significantly reducing …
algorithms, aims to create concise and accurate summaries, thereby significantly reducing …
SUMMEDITS: measuring LLM ability at factual reasoning through the lens of summarization
With the recent appearance of LLMs in practical settings, having methods that can effectively
detect factual inconsistencies is crucial to reduce the propagation of misinformation and …
detect factual inconsistencies is crucial to reduce the propagation of misinformation and …
Llms as factual reasoners: Insights from existing benchmarks and beyond
With the recent appearance of LLMs in practical settings, having methods that can effectively
detect factual inconsistencies is crucial to reduce the propagation of misinformation and …
detect factual inconsistencies is crucial to reduce the propagation of misinformation and …
SPeC: a soft prompt-based calibration on performance variability of large language model in clinical notes summarization
Electronic health records (EHRs) store an extensive array of patient information,
encompassing medical histories, diagnoses, treatments, and test outcomes. These records …
encompassing medical histories, diagnoses, treatments, and test outcomes. These records …
Allure: A systematic protocol for auditing and improving llm-based evaluation of text using iterative in-context-learning
H Hasanbeig, H Sharma, L Betthauser… - arXiv preprint arXiv …, 2023 - arxiv.org
From grading papers to summarizing medical documents, large language models (LLMs)
are evermore used for evaluation of text generated by humans and AI alike. However …
are evermore used for evaluation of text generated by humans and AI alike. However …
Gersteinlab at mediqa-chat 2023: Clinical note summarization from doctor-patient conversations through fine-tuning and in-context learning
This paper presents our contribution to the MEDIQA-2023 Dialogue2Note shared task,
encompassing both subtask A and subtask B. We approach the task as a dialogue …
encompassing both subtask A and subtask B. We approach the task as a dialogue …
Enhancing Summarization Performance through Transformer-Based Prompt Engineering in Automated Medical Reporting
D van Zandvoort, L Wiersema, T Huibers… - arXiv preprint arXiv …, 2023 - arxiv.org
Customized medical prompts enable Large Language Models (LLM) to effectively address
medical dialogue summarization. The process of medical reporting is often time-consuming …
medical dialogue summarization. The process of medical reporting is often time-consuming …
[PDF][PDF] Appls: A meta-evaluation testbed for plain language summarization
While there has been significant development of models for Plain Language Summarization
(PLS), evaluation remains a challenge. This is in part because PLS involves multiple …
(PLS), evaluation remains a challenge. This is in part because PLS involves multiple …
From task to evaluation: an automatic text summarization review
L Lu, Y Liu, W Xu, H Li, G Sun - Artificial Intelligence Review, 2023 - Springer
Automatic summarization is attracting increasing attention as one of the most promising
research areas. This technology has been tried in various real-world applications in recent …
research areas. This technology has been tried in various real-world applications in recent …