activity
20152026
most citedDesign and Evaluation of IPFS: A Storage Layer for the Decentralized Web

172 citations · 729 across the 66 of their papers we have counts for

collaborators

72 papers

cs.CY2026

Quantifying Ethereum Energy Consumption via Network Mapping

Yahn Costa Hackspacher, Cornelius Ihle, Vasundhara Shaw +4

Ethereum's electricity use fell by about 99.95% after the move from proof of work to proof of stake. Service providers still need to report operational energy use, e.g. under the E…

cs.CL2025★ 1 cited

What's in the News? Towards Identification of Bias by Commission, Omission, and Source Selection (COSS)

Anastasia Zhukova, Terry Ruas, Felix Hamborg +2

In a world overwhelmed with news, determining which information comes from reliable sources or how neutral is the reported information in the news articles poses a challenge to new…

cs.IR2023

TEIMMA: The First Content Reuse Annotator for Text, Images, and Math

Ankit Satpute, André Greiner-Petter, Moritz Schubotz +4

This demo paper presents the first tool to annotate the reuse of text, images, and mathematical formulae in a document pair -- TEIMMA. Annotating content reuse is particularly usef…

cs.CL2023

Generative User-Experience Research for Developing Domain-specific Natural Language Processing Applications

Anastasia Zhukova, Lukas von Sperl, Christian E. Matt +1

User experience (UX) is a part of human-computer interaction (HCI) research and focuses on increasing intuitiveness, transparency, simplicity, and trust for the system users. Most…

cs.CL2023

Neural Machine Translation for Mathematical Formulae

Felix Petersen, Moritz Schubotz, Andre Greiner-Petter +1

We tackle the problem of neural machine translation of mathematical formulae between ambiguous presentation languages and unambiguous content languages. Compared to neural machine…

cs.IR2023★ 1 cited

Methods and Tools to Advance the Retrieval of Mathematical Knowledge from Digital Libraries for Search-, Recommendation-, and Assistance-Systems

Bela Gipp, André Greiner-Petter, Moritz Schubotz +1

This project investigated new approaches and technologies to enhance the accessibility of mathematical content and its semantic information for a broad range of information retriev…

cs.NI2023★ 2 cited

Introducing Peer Copy -- A Fully Decentralized Peer-to-Peer File Transfer Tool

Dennis Trautwein, Moritz Schubotz, Bela Gipp

It allows any two parties that are either both on the same network or connected via the internet to transfer the contents of a file based on a particular sequence of words. Peer di…

cs.IR2023★ 22 cited

Introducing MBIB -- the first Media Bias Identification Benchmark Task and Dataset Collection

Martin Wessel, Tomáš Horych, Terry Ruas +3

Although media bias detection is a complex multi-task problem, there is, to date, no unified benchmark grouping these evaluation tasks. We introduce the Media Bias Identification B…

cs.CL2023★ 1 cited

Paraphrase Detection: Human vs. Machine Content

Jonas Becker, Jan Philip Wahle, Terry Ruas +1

The growing prominence of large language models, such as GPT-4 and ChatGPT, has led to increased concerns over academic integrity due to the potential for machine-generated content…

cs.IR2023★ 1 cited

Discovery and Recognition of Formula Concepts using Machine Learning

Philipp Scharpf, Moritz Schubotz, Howard S. Cohl +2

Citation-based Information Retrieval (IR) methods for scientific documents have proven effective for IR applications, such as Plagiarism Detection or Literature Recommender Systems…

cs.IR2023★ 24 cited

A Benchmark of PDF Information Extraction Tools using a Multi-Task and Multi-Domain Evaluation Framework for Academic Documents

Norman Meuschke, Apurva Jagdale, Timo Spinde +2

Extracting information from academic PDF documents is crucial for numerous indexing, retrieval, and analysis use cases. Choosing the best tool to extract specific content elements…

cs.CY2023★ 1 cited

AI Usage Cards: Responsibly Reporting AI-generated Content

Jan Philip Wahle, Terry Ruas, Saif M. Mohammad +2

Given AI systems like ChatGPT can generate content that is indistinguishable from human-made work, the responsible use of this technology is a growing concern. Although understandi…

cs.IR2022★ 6 cited

Collaborative and AI-aided Exam Question Generation using Wikidata in Education

Philipp Scharpf, Moritz Schubotz, Andreas Spitz +2

Since the COVID-19 outbreak, the use of digital learning or education platforms has significantly increased. Teachers now digitally distribute homework and provide exercise questio…

cs.IR2022

Mining Mathematical Documents for Question Answering via Unsupervised Formula Labeling

Philipp Scharpf, Moritz Schubotz, Bela Gipp

The increasing number of questions on Question Answering (QA) platforms like Math Stack Exchange (MSE) signifies a growing information need to answer math-related questions. Howeve…

cs.CL2022★ 2 cited

Analyzing Multi-Task Learning for Abstractive Text Summarization

Frederic Kirstein, Jan Philip Wahle, Terry Ruas +1

Despite the recent success of multi-task learning and pre-finetuning for natural language understanding, few works have studied the effects of task families on abstractive text sum…

cs.CL2022★ 29 cited

How Large Language Models are Transforming Machine-Paraphrased Plagiarism

Jan Philip Wahle, Terry Ruas, Frederic Kirstein +1

The recent success of large language models for text generation poses a severe threat to academic integrity, as plagiarists can generate realistic paraphrases indistinguishable fro…

cs.SE2022★ 2 cited

Caching and Reproducibility: Making Data Science experiments faster and FAIRer

Moritz Schubotz, Ankit Satpute, Andre Greiner-Petter +2

Small to medium-scale data science experiments often rely on research software developed ad-hoc by individual scientists or small teams. Often there is no time to make the research…

cs.CL2022★ 25 cited

Exploiting Transformer-based Multitask Learning for the Detection of Media Bias in News Articles

Timo Spinde, Jan-David Krieger, Terry Ruas +4

Media has a substantial impact on the public perception of events. A one-sided or polarizing perspective on any topic is usually described as media bias. One of the ways how bias i…

cs.CL2022★ 2 cited

CS-Insights: A System for Analyzing Computer Science Research

Terry Ruas, Jan Philip Wahle, Lennart Küll +2

This paper presents CS-Insights, an interactive web application to analyze computer science publications from DBLP through multiple perspectives. The dedicated interfaces allow its…

cs.CL2022★ 67 cited

Neural Media Bias Detection Using Distant Supervision With BABE -- Bias Annotations By Experts

Timo Spinde, Manuel Plank, Jan-David Krieger +3

Media coverage has a substantial effect on the public perception of events. Nevertheless, media outlets are often biased. One way to bias news articles is by altering the word choi…

cs.NI2022★ 172 cited

Design and Evaluation of IPFS: A Storage Layer for the Decentralized Web

Dennis Trautwein, Aravindh Raman, Gareth Tyson +5

Recent years have witnessed growing consolidation of web operations. For example, the majority of web traffic now originates from a few organizations, and even micro-websites often…

cs.CL2022★ 18 cited

A Domain-adaptive Pre-training Approach for Language Bias Detection in News

Jan-David Krieger, Timo Spinde, Terry Ruas +2

Media bias is a multi-faceted construct influencing individual behavior and collective decision-making. Slanted news reporting is the result of one-sided and polarized writing whic…

cs.DL2022

D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research

Jan Philip Wahle, Terry Ruas, Saif M. Mohammad +1

DBLP is the largest open-access repository of scientific articles on computer science and provides metadata associated with publications, authors, and venues. We retrieved more tha…

cs.IR2022

Specialized Document Embeddings for Aspect-based Similarity of Research Papers

Malte Ostendorff, Till Blume, Terry Ruas +2

Document embeddings and similarity measures underpin content-based recommender systems, whereby a document is commonly represented as a single generic embedding. However, similarit…