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Pieter Delobelle Research

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About

Pieter Delobelle is a postdoctoral researcher at KU Leuven specializing in the alignment and fairness of large language models. His work aims to mitigate biases and promote fairness in natural language processing (NLP) systems, particularly those pertaining to Dutch language models. Delobelle's research includes efficient training methods, development of Dutch conversational agents, and understanding intrinsic and extrinsic biases in language modeling. His notable projects include RobBERT, a state-of-the-art Dutch language model, and Tweety-7B, a generative LLM for Dutch. The site also highlights his commitment to fair NLP, equitable models, and reducing computational resources in training processes. His extensive research output is shared through publications and other resources.

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Web
Keywords
researchnlpfairnesslarge language modelsdutch language
Task
research focus
Features

collaboration opportunities

development of dutch llms

efficiency in nlp training

fairness in nlp

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