---
title: "Eyke Hüllermeier — papers of 2023 — Elamur Research"
description: "Eyke Hüllermeier — papers of 2023: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/eyke-hullermeier/year/2023/"
---
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[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / [Eyke Hüllermeier](https://md.research.elamur.ai/free/en/authors/eyke-hullermeier/) / 2023

# Eyke Hüllermeier — papers of 2023 — Elamur Research

2 papers · [all years of Eyke Hüllermeier](https://md.research.elamur.ai/free/en/authors/eyke-hullermeier/#years)

- [ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education](https://md.research.elamur.ai/free/en/papers/kasneci-2023-chatgpt-good-opportunities-challenges-large/) — Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, et al. · 2023 · 7,440 citations

**[A Survey of Reinforcement Learning from Human Feedback](https://md.research.elamur.ai/free/en/papers/kaufmann-2023-survey-reinforcement-learning-human-feedback/) [Transactions on Machine Learning Research](https://md.research.elamur.ai/free/en/venues/transactions-on-machine-learning-research/)**Timo Kaufmann, Paul Weng, Viktor Bengs, et al.*2023 · 92 citations*
