3 citations · 4 across the 10 of their papers we have counts for
4 papers · 1 filter
SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
Jonathan Tonglet, Manon Reusens, Philipp Borchert +1
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. Re…
CORE: A Few-Shot Company Relation Classification Dataset for Robust Domain Adaptation
Philipp Borchert, Jochen De Weerdt, Kristof Coussement +2
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 c…
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques
Manon Reusens, Philipp Borchert, Margot Mieskes +2
This paper investigates the transferability of debiasing techniques across different languages within multilingual models. We examine the applicability of these techniques in Engli…
Taught by the Internet, Exploring Bias in OpenAIs GPT3
Ali Ayaz, Aditya Nawalgaria, Ruilian Yin
This research delves into the current literature on bias in Natural Language Processing Models and the techniques proposed to mitigate the problem of bias, including why it is impo…