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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.

Platform

Keywords

research nlp fairness large language models dutch language

Task

Features

• collaboration opportunities

• development of dutch llms

• efficiency in nlp training

• fairness in nlp

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