activity
20192025
most citedShortest path distance approximation using deep learning techniques

25 citations · 52 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.CL2025

Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support

Jan Trienes, Anastasiia Derzhanskaia, Roland Schwarzkopf +3

We present Marcel, a lightweight and open-source conversational agent designed to support prospective students with admission-related inquiries. The system aims to provide fast and…

cs.CL2025

Guiding LLMs to Generate High-Fidelity and High-Quality Counterfactual Explanations for Text Classification

Van Bach Nguyen, Christin Seifert, Jörg Schlötterer

The need for interpretability in deep learning has driven interest in counterfactual explanations, which identify minimal changes to an instance that change a model's prediction. C…

cs.CL20243 cited

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding

Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer +17

Recent advances in natural language processing (NLP) can be largely attributed to the advent of pre-trained language models such as BERT and RoBERTa. While these models demonstrate…

cs.CL2024

Corpus Considerations for Annotator Modeling and Scaling

Olufunke O. Sarumi, Béla Neuendorf, Joan Plepi +3

Recent trends in natural language processing research and annotation tasks affirm a paradigm shift from the traditional reliance on a single ground truth to a focus on individual p…

cs.CL2024

CEval: A Benchmark for Evaluating Counterfactual Text Generation

Van Bach Nguyen, Jörg Schlötterer, Christin Seifert

Counterfactual text generation aims to minimally change a text, such that it is classified differently. Judging advancements in method development for counterfactual text generatio…

cs.CL20241 cited

A Second Look on BASS -- Boosting Abstractive Summarization with Unified Semantic Graphs -- A Replication Study

Osman Alperen Koraş, Jörg Schlötterer, Christin Seifert

We present a detailed replication study of the BASS framework, an abstractive summarization system based on the notion of Unified Semantic Graphs. Our investigation includes challe…