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FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation
Counterfactual examples are widely used in natural language processing (NLP) as valuable data to improve models, and in explainable …
Qianli Wang
,
Nils Feldhus
,
Simon Ostermann
,
Luis Felipe Villa-Arenas
,
Sebastian Möller
,
Vera Schmitt
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Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution
In this work, we reimagine classical probing to evaluate knowledge transfer from simple source to more complex target tasks. Instead of …
Tatiana Anikina
,
Arne Binder
,
David Harbecke
,
Stalin Varanasi
,
Leonhard Hennig
,
Simon Ostermann
,
Sebastian Möller
,
Josef Van Genabith
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Project
Entity Linking using LLMs for Automated Product Carbon Footprint Estimation
Growing concerns about climate change and sustainability are driving manufacturers to take significant steps toward reducing their …
Steffen Castle
,
Julian Moreno Schneider
,
Leonhard Hennig
,
Georg Rehm
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Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem
Natural language explanations (NLEs) are vital for elucidating the reasoning behind large language model (LLM) decisions. Many …
Qianli Wang
,
Tatiana Anikina
,
Nils Feldhus
,
Simon Ostermann
,
Sebastian Möller
,
Vera Schmitt
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Project
Findings of the WMT 2024 Biomedical Translation Shared Task: Test Sets on Abstract Level
We present the results of the ninth edition of the Biomedical Translation Task at WMT’24. We released test sets for six language pairs, …
Mariana Neves
,
Cristian Grozea
,
Philippe Thomas
,
Roland Roller
,
Rachel Bawden
,
Aurélie Névéol
,
Steffen Castle
,
Vanessa Bonato
,
Giorgio Maria Di Nunzio
,
Federica Vezzani
,
Maika Vicente Navarro
,
Lana Yeganova
,
Antonio Jimeno Yepes
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CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems
Conversational explainable artificial intelligence (ConvXAI) systems based on large language models (LLMs) have garnered significant …
Qianli Wang
,
Tatiana Anikina
,
Nils Feldhus
,
Simon Ostermann
,
Sebastian Möller
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Enhancing Editorial Tasks: A Case Study on Rewriting Customer Help Page Contents Using Large Language Models
In this paper, we investigate the use of large language models (LLMs) to enhance the editorial process of rewriting customer help …
Aleksandra Gabryszak
,
Daniel Röder
,
Arne Binder
,
Luca Sion
,
Leonhard Hennig
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Project
Conversational XAI and Explanation Dialogues
My main research interest is human-centric explainability, i.e., making language models more interpretable by building applications …
Nils Feldhus
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German Voter Personas can Radicalize LLM Chatbots via the Echo Chamber Effect
We investigate the impact of LLMs on political discourse with a particular focus on the influence of generated personas on model …
Maximilian Bleick
,
Nils Feldhus
,
Aljoscha Burchardt
,
Sebastian Möller
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DOI
Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues
For dialogues in which teachers explain difficult concepts to students, didactics research often debates which teaching strategies lead …
Nils Feldhus
,
Aliki Anagnostopoulou
,
Qianli Wang
,
Milad Alshomary
,
Henning Wachsmuth
,
Daniel Sonntag
,
Sebastian Möller
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