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Mind the gap: from plausible to valid self-explanations in large language models
This paper investigates the reliability of explanations generated by large language models (LLMs) when prompted to explain their previous output. We...
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Contextualizing ancient texts with generative neural networks
Human history is born in writing. Inscriptions are among the earliest written forms, and offer direct insights into the thought, language and history...
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Revisiting Silhouette Aggregation
Silhouette coefficient is an established internal clustering evaluation measure that produces a score per data point, assessing the quality of its... -
Evaluating the Reliability of Self-explanations in Large Language Models
This paper investigates the reliability of explanations generated by large language models (LLMs) when prompted to explain their previous output. We... -
Explainable dating of greek papyri images
Greek literary papyri, which are unique witnesses of antique literature, do not usually bear a date. They are thus currently dated based on...
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A New Framework for Error Analysis in Computational Paleographic Dating of Greek Papyri
The study of Greek papyri from ancient Egypt is fundamental for understanding Graeco-Roman Antiquity, offering insights into various aspects of... -
Automotive fault nowcasting with machine learning and natural language processing
Automated fault diagnosis can facilitate diagnostics assistance, speedier troubleshooting, and better-organised logistics. Currently, most AI-based...
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Fraud detection with natural language processing
Automated fraud detection can assist organisations to safeguard user accounts, a task that is very challenging due to the great sparsity of known...
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Explaining the Chronological Attribution of Greek Papyri Images
Greek literary papyri, which are unique witnesses of antique literature, do not usually bear a date. They are thus currently dated based on... -
Leveraging the Spatiotemporal Analysis of Meisho-e Landscapes
Japanese early-modern woodblock prints depicting pastoral views of the countryside, so-called meisho-e (images of famous places), are often defined... -
Greek Literary Papyri Dating Benchmark
Dating papyri accurately is crucial not only to editing their texts but also for our understanding of palaeography and the history of writing,... -
Distance from Unimodality for the Assessment of Opinion Polarization
Commonsense knowledge is often approximated by the fraction of annotators who classified an item as belonging to the positive class. Instances for...
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Computational authorship analysis of the homeric poems
Natural language modeling is used to predict or generate the next word or character of modern languages. Furthermore, statistical character-based...
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Diagnostic captioning: a survey
Diagnostic captioning (DC) concerns the automatic generation of a diagnostic text from a set of medical images of a patient collected during an...
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Restoring and attributing ancient texts using deep neural networks
Ancient history relies on disciplines such as epigraphy—the study of inscribed texts known as inscriptions—for evidence of the thought, language,...
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Sentiment Nowcasting During the COVID-19 Pandemic
In response to the COVID-19 pandemic, governments around the world are taking a wide range of measures. Previous research on COVID-19 has focused on... -
Customized Neural Predictive Medical Text: A Use-Case on Caregivers
Predictive text can speed up authoring of everyday tasks, such as writing an SMS or a URL. When deployed in a clinical setting, it can enable... -
Automated Grading of Exam Responses: An Extensive Classification Benchmark
Automated grading of free-text exam responses is a very challenging task due to the complex nature of the problem, such as lack of training data and... -
Medical Image Tagging by Deep Learning and Retrieval
Radiologists and other qualified physicians need to examine and interpret large numbers of medical images daily. Systems that would help them spot... -
An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition
BackgroundThis article provides an overview of the first BioASQchallenge, a competition on large-scale biomedical semantic indexing and question...