Anders Giovanni Møller
PhD student in the 
NERDS group at IT University of Copenhagen, working on the COCOONS project.
Anders
NLP.
I am studying NLP and generative AI and their applications in social context.
CSS.
I study human behavior using NLP tools to model and understand social dynamics.
Healthcare.
I am personally interested in applications of AI in healthcare.
Publications and Pre-prints
Recent publications and pre-prints. Still a bit empty (🥲), working on it!💨
PAPER
LLM
ScholarLLM Prompt Refinement or Fine-tuning in CSS?
How to maximize performance in CSS classification tasks using LLMs.
Anders Giovanni Møller
ICWSM
Paper
LLM
The Persuasive Power of Large Language Models
Exploring LLMs in persuasion and opinion change.
Anders Giovanni Møller
EACL
Paper
LLM
Data Augmentation using LLMs? 🤔
Human-Labeled vs. LLM-augmented data in classification tasks
Anders Giovanni Møller
Timeline
I've explored the startup world and now I'm smoothly navigating the academic sphere, all while ensuring my coffee cup remains full. ✌🏼
- Research Visitor 2024 - 2024University of MichiganVisiting PhD at the University of Michigan, advised by David Jurgens & Daniel Romero.
- PhD student 2023 - NowIT University of CopenhagenPhD student in the NERDS Research group, supervised by Luca Maria Aiello.
- MSc in Data Science 2021 - 2023IT University of CopenhagenMaster Thesis: Are large language models enough? A framework for the aspiring computational social scientist to tackle low-resource tasks using large language models and contrastive few-shot learning. Supervised by Luca Maria Aiello.
- Data Scientist 2020 - 2023Firmnav (acquired)I collected online web data, including from social media platforms, developed a translation pipeline, trained transformer-based Named Entity Recognition (NER) models from scratch for production use, devised a novel method for graph-based clustering of companies using textual similarity, and managed project planning and execution.
- Data Scientist 2020 - 2020FlowplanI collected IoT-based water data and developed unsupervised models to predict water and coffee consumption.
- BSc in Data Science 2017 - 2020IT University of CopenhagenBachelor Thesis: Neural Cross-Lingual Gender Detection and Distant Supervision for Danish. Supervised by Barbara Plank & Rob van der Goot.