565 citations · 1k across the 32 of their papers we have counts for
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Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection
Janek Bevendorff, Maik Fröbe, André Greiner-Petter +9
The goal of the PAN workshop is to advance computational stylometry and text forensics via objective and reproducible evaluation. In 2026, we run the following five tasks: (1) Voig…
Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance
Kaitlyn Zhou, Jena D. Hwang, Xiang Ren +3
The ability to communicate uncertainty, risk, and limitation is crucial for the safety of large language models. However, current evaluations of these abilities rely on simple cali…
Task-Oriented Paraphrase Analytics
Marcel Gohsen, Matthias Hagen, Martin Potthast +1
Since paraphrasing is an ill-defined task, the term "paraphrasing" covers text transformation tasks with different characteristics. Consequently, existing paraphrasing studies have…
Assisted Knowledge Graph Authoring: Human-Supervised Knowledge Graph Construction from Natural Language
Marcel Gohsen, Benno Stein
Encyclopedic knowledge graphs, such as Wikidata, host an extensive repository of millions of knowledge statements. However, domain-specific knowledge from fields such as history, p…
Paraphrase Acquisition from Image Captions
Marcel Gohsen, Matthias Hagen, Martin Potthast +1
We propose to use image captions from the Web as a previously underutilized resource for paraphrases (i.e., texts with the same "message") and to create and analyze a corresponding…
The Touché23-ValueEval Dataset for Identifying Human Values behind Arguments
Nailia Mirzakhmedova, Johannes Kiesel, Milad Alshomary +11
We present the Touché23-ValueEval Dataset for Identifying Human Values behind Arguments. To investigate approaches for the automated detection of human values behind arguments, we…
Topic Ontologies for Arguments
Yamen Ajjour, Johannes Kiesel, Benno Stein +1
Many computational argumentation tasks, like stance classification, are topic-dependent: the effectiveness of approaches to these tasks significantly depends on whether the approac…
SMAuC -- The Scientific Multi-Authorship Corpus
Janek Bevendorff, Philipp Sauer, Lukas Gienapp +4
The rapidly growing volume of scientific publications offers an interesting challenge for research on methods for analyzing the authorship of documents with one or more authors. Ho…
Differential Bias: On the Perceptibility of Stance Imbalance in Argumentation
Alonso Palomino, Martin Potthast, Khalid Al-Khatib +1
Most research on natural language processing treats bias as an absolute concept: Based on a (probably complex) algorithmic analysis, a sentence, an article, or a text is classified…
Trigger Warnings: Bootstrapping a Violence Detector for FanFiction
Magdalena Wolska, Christopher Schröder, Ole Borchardt +2
We present the first dataset and evaluation results on a newly defined computational task of trigger warning assignment. Labeled corpus data has been compiled from narrative works…
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…
Controlled Neural Sentence-Level Reframing of News Articles
Wei-Fan Chen, Khalid Al-Khatib, Benno Stein +1
Framing a news article means to portray the reported event from a specific perspective, e.g., from an economic or a health perspective. Reframing means to change this perspective.…
Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity
Wei-Fan Chen, Khalid Al-Khatib, Henning Wachsmuth +1
Media organizations bear great reponsibility because of their considerable influence on shaping beliefs and positions of our society. Any form of media can contain overly biased co…
Detecting Media Bias in News Articles using Gaussian Bias Distributions
Wei-Fan Chen, Khalid Al-Khatib, Benno Stein +1
Media plays an important role in shaping public opinion. Biased media can influence people in undesirable directions and hence should be unmasked as such. We observe that featureba…
The Importance of Suppressing Domain Style in Authorship Analysis
Sebastian Bischoff, Niklas Deckers, Marcel Schliebs +5
The prerequisite of many approaches to authorship analysis is a representation of writing style. But despite decades of research, it still remains unclear to what extent commonly u…