activity
20242026
most citedSciLaD: A Large-Scale, Transparent, Reproducible Dataset for Natural Scientific Language Processing

2 citations · 3 across the 5 of their papers we have counts for

collaborators

7 papers

cs.SE2026

The Code of Theseus: Can Agents Rebuild Software from Recovered Design Documents?

Cezar Sas, Sandra Mitrović, Fabio Barth +2

LLM agents increasingly design a system before implementing it, yet the data to train and evaluate them centres on implementation and testing: requirements and design artefacts are…

cs.CL2026

Does Finetuning with Scientific Data Increase Hallucinations? A Multi-domain Factuality Evaluation of LLMs

Raia Abu Ahmad, Nikolas Rauscher, Ekaterina Borisova +3

Large language models (LLMs) are increasingly used to communicate and explain scientific concepts, yet their tendency to hallucinate poses significant risks in this high stakes use…

cs.CL2025★ 2 cited

SciLaD: A Large-Scale, Transparent, Reproducible Dataset for Natural Scientific Language Processing

Luca Foppiano, Sotaro Takeshita, Pedro Ortiz Suarez +6

SciLaD is a novel, large-scale dataset of scientific language constructed entirely using open-source frameworks and publicly available data sources. It comprises a curated English…

cs.CL2025

NFDI4DS Shared Tasks for Scholarly Document Processing

Raia Abu Ahmad, Rana Abdulla, Tilahun Abedissa Taffa +18

Shared tasks are powerful tools for advancing research through community-based standardised evaluation. As such, they play a key role in promoting findable, accessible, interoperab…

cs.CL2025

Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data

Ekaterina Borisova, Fabio Barth, Nils Feldhus +5

Tables are among the most widely used tools for representing structured data in research, business, medicine, and education. Although LLMs demonstrate strong performance in downstr…

cs.CL2025

How desirable is alignment between LLMs and linguistically diverse human users?

Pia Knoeferle, Sebastian Möller, Dorothea Kolossa +2

We discuss how desirable it is that Large Language Models (LLMs) be able to adapt or align their language behavior with users who may be diverse in their language use. User diversi…

cs.DL2024★ 1 cited

Toward FAIR Semantic Publishing of Research Dataset Metadata in the Open Research Knowledge Graph

Raia Abu Ahmad, Jennifer D'Souza, Matthäus Zloch +5

Search engines these days can serve datasets as search results. Datasets get picked up by search technologies based on structured descriptions on their official web pages, informed…