Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Borchert, Philipp"'
Large Language Models (LLMs) excel at providing information acquired during pretraining on large-scale corpora and following instructions through user prompts. This study investigates whether the quality of LLM responses varies depending on the demog
Externí odkaz:
http://arxiv.org/abs/2406.17385
LLMs have become a go-to solution not just for text generation, but also for natural language understanding (NLU) tasks. Acquiring extensive knowledge through language modeling on web-scale corpora, they excel on English NLU, yet struggle to extend t
Externí odkaz:
http://arxiv.org/abs/2406.12739
Differentiating relationships between entity pairs with limited labeled instances poses a significant challenge in few-shot relation classification. Representations of textual data extract rich information spanning the domain, entities, and relations
Externí odkaz:
http://arxiv.org/abs/2403.16543
Autor:
Borchert, Philipp, De Weerdt, Jochen, Coussement, Kristof, De Caigny, Arno, Moens, Marie-Francine
We introduce CORE, a dataset for few-shot relation classification (RC) focused on company relations and business entities. CORE includes 4,708 instances of 12 relation types with corresponding textual evidence extracted from company Wikipedia pages.
Externí odkaz:
http://arxiv.org/abs/2310.12024
This paper investigates the transferability of debiasing techniques across different languages within multilingual models. We examine the applicability of these techniques in English, French, German, and Dutch. Using multilingual BERT (mBERT), we dem
Externí odkaz:
http://arxiv.org/abs/2310.10310
Question answering over hybrid contexts is a complex task, which requires the combination of information extracted from unstructured texts and structured tables in various ways. Recently, In-Context Learning demonstrated significant performance advan
Externí odkaz:
http://arxiv.org/abs/2310.06675
Publikováno v:
In European Journal of Operational Research 1 June 2024 315(2):691-702
Publikováno v:
In European Journal of Operational Research 1 April 2023 306(1):348-357
Publikováno v:
In Journal of Chromatography B 15 December 2020 1161
Autor:
Ivanov, Igor1 (AUTHOR) igor.ivanov@med.uni-rostock.de, Borchert, Philipp1 (AUTHOR), Hinz, Burkhard1 (AUTHOR)
Publikováno v:
Analytical & Bioanalytical Chemistry. Feb2015, Vol. 407 Issue 6, p1781-1787. 7p. 3 Charts, 2 Graphs.