Two papers accepted to INLG 2024

Aug 22, 2024 1 min read

Two papers from DFKI NLP researchers have been accepted at the 17th International Natural Language Generation Conference (INLG 2024) that will take place September 23-27 in Tokyo, Japan. One paper presents a case study on using large language models to produce customer-friendly help page contents from more technical text, and includes a text quality evaluation by experienced editors. The other paper analyzes echo chamber effects in LLM-based chatbots in political conversations.

Aleksandra Gabryszak, Daniel Röder, Arne Binder, Luca Sion, Leonhard Hennig (2024). Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models. INLG 2024.

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Maximilian Bleick, Nils Feldhus, Aljoscha Burchardt, Sebastian Möller (2024). German Voter Personas can Radicalize LLM Chatbots via the Echo Chamber Effect. INLG 2024.

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DFKI-NLP
DFKI-NLP
Research Group at DFKI