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pro vyhledávání: '"Lehmann, Jens"'
Leveraging external knowledge is crucial for achieving high performance in knowledge-intensive tasks, such as question answering. The retrieve-and-read approach is widely adopted for integrating external knowledge into a language model. However, this
Externí odkaz:
http://arxiv.org/abs/2406.04670
Large language models (LLMs) tend to inadequately integrate input context during text generation, relying excessively on encoded prior knowledge in model parameters, potentially resulting in generated text with factual inconsistencies or contextually
Externí odkaz:
http://arxiv.org/abs/2405.02750
Autor:
Lehmann, Jens, Buhl, Petra, Giesinger, Johannes M, Wintner, Lisa M, Sztankay, Monika, Neppl, Lucia, Willenbacher, Wolfgang, Weger, Roman, Weyrer, Walpurga, Rumpold, Gerhard, Holzner, Bernhard
Publikováno v:
Journal of Medical Internet Research, Vol 23, Iss 6, p e26022 (2021)
BackgroundPatient portals offer the possibility to assess patient-reported outcome measures (PROMs) remotely, and first evidence has demonstrated their potential benefits. ObjectiveIn this study, we evaluated patient use of a web-based patient porta
Externí odkaz:
https://doaj.org/article/035b8d2601054bd586159d67ed4336ba
Extracting structured information from unstructured text is critical for many downstream NLP applications and is traditionally achieved by closed information extraction (cIE). However, existing approaches for cIE suffer from two limitations: (i) they
Externí odkaz:
http://arxiv.org/abs/2404.12788
Autor:
Weber, Alexander Arno, Thellmann, Klaudia, Ebert, Jan, Flores-Herr, Nicolas, Lehmann, Jens, Fromm, Michael, Ali, Mehdi
The adaption of multilingual pre-trained LLMs into eloquent and helpful assistants is essential to facilitate their use across different language regions. In that spirit, we are the first to conduct an extensive study of the performance of multilingu
Externí odkaz:
http://arxiv.org/abs/2402.13703
The European General Data Protection Regulation (GDPR) sets new precedents for the processing of personal data. In this paper, we propose an architecture that provides an automated means to enable transparency with respect to personal data processing
Externí odkaz:
http://epub.wu.ac.at/6491/1/SPIRIT.pdf
There has been a surge of interest in utilizing Knowledge Graphs (KGs) for various natural language processing/understanding tasks. The conventional mechanism to retrieve facts in KGs usually involves three steps: entity span detection, entity disamb
Externí odkaz:
http://arxiv.org/abs/2305.12416
Autor:
Mohiuddin, Karishma, Alam, Mirza Ariful, Alam, Mirza Mohtashim, Welke, Pascal, Martin, Michael, Lehmann, Jens, Vahdati, Sahar
Skilled employees are the most important pillars of an organization. Despite this, most organizations face high attrition and turnover rates. While several machine learning models have been developed to analyze attrition and its causal factors, the i
Externí odkaz:
http://arxiv.org/abs/2304.03103