36 citations · 60 across the 24 of their papers we have counts for
25 papers
GUISpector: An MLLM Agent Framework for Automated Verification of Natural Language Requirements in GUI Prototypes
Kristian Kolthoff, Felix Kretzer, Simone Paolo Ponzetto +2
GUIs are foundational to interactive systems and play a pivotal role in early requirements elicitation through prototyping. Ensuring that GUI implementations fulfill NL requirement…
GUI-ReRank: Enhancing GUI Retrieval with Multi-Modal LLM-based Reranking
Kristian Kolthoff, Felix Kretzer, Christian Bartelt +2
GUI prototyping is a fundamental component in the development of modern interactive systems, which are now ubiquitous across diverse application domains. GUI prototypes play a crit…
TikZero: Zero-Shot Text-Guided Graphics Program Synthesis
Jonas Belouadi, Eddy Ilg, Margret Keuper +5
Automatically synthesizing figures from text captions is a compelling capability. However, achieving high geometric precision and editability requires representing figures as graph…
GUIDE: LLM-Driven GUI Generation Decomposition for Automated Prototyping
Kristian Kolthoff, Felix Kretzer, Christian Bartelt +2
GUI prototyping serves as one of the most valuable techniques for enhancing the elicitation of requirements and facilitating the visualization and refinement of customer needs. Whi…
Enriching Social Science Research via Survey Item Linking
Tornike Tsereteli, Daniel Ruffinelli, Simone Paolo Ponzetto
Questions within surveys, called survey items, are used in the social sciences to study latent concepts, such as the factors influencing life satisfaction. Instead of using explici…
Zero-Shot Prompting Approaches for LLM-based Graphical User Interface Generation
Kristian Kolthoff, Felix Kretzer, Lennart Fiebig +3
Graphical user interface (GUI) prototyping represents an essential activity in the development of interactive systems, which are omnipresent today. GUI prototypes facilitate elicit…
ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?
Leixin Zhang, Steffen Eger, Yinjie Cheng +6
Multimodal large language models (LLMs) have demonstrated impressive capabilities in generating high-quality images from textual instructions. However, their performance in generat…
Self-Elicitation of Requirements with Automated GUI Prototyping
Kristian Kolthoff, Christian Bartelt, Simone Paolo Ponzetto +1
Requirements Elicitation (RE) is a crucial activity especially in the early stages of software development. GUI prototyping has widely been adopted as one of the most effective RE…
Interlinking User Stories and GUI Prototyping: A Semi-Automatic LLM-based Approach
Kristian Kolthoff, Felix Kretzer, Christian Bartelt +2
Interactive systems are omnipresent today and the need to create graphical user interfaces (GUIs) is just as ubiquitous. For the elicitation and validation of requirements, GUI pro…
ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications
Sotaro Takeshita, Tommaso Green, Ines Reinig +2
Extensive efforts in the past have been directed toward the development of summarization datasets. However, a predominant number of these resources have been (semi)-automatically g…
ROUGE-K: Do Your Summaries Have Keywords?
Sotaro Takeshita, Simone Paolo Ponzetto, Kai Eckert
Keywords, that is, content-relevant words in summaries play an important role in efficient information conveyance, making it critical to assess if system-generated summaries contai…
Do LLMs Dream of Ontologies?
Marco Bombieri, Paolo Fiorini, Simone Paolo Ponzetto +1
Large Language Models (LLMs) have demonstrated remarkable performance across diverse natural language processing tasks, yet their ability to memorize structured knowledge remains u…
Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection
Gretel Liz De la Peña Sarracén, Paolo Rosso, Robert Litschko +2
Cross-lingual transfer learning from high-resource to medium and low-resource languages has shown encouraging results. However, the scarcity of resources in target languages remain…
Multi-Source (Pre-)Training for Cross-Domain Measurement, Unit and Context Extraction
Yueling Li, Sebastian Martschat, Simone Paolo Ponzetto
We present a cross-domain approach for automated measurement and context extraction based on pre-trained language models. We construct a multi-source, multi-domain corpus and train…
Can Demographic Factors Improve Text Classification? Revisiting Demographic Adaptation in the Age of Transformers
Chia-Chien Hung, Anne Lauscher, Dirk Hovy +2
Demographic factors (e.g., gender or age) shape our language. Previous work showed that incorporating demographic factors can consistently improve performance for various NLP tasks…
Overview of the SV-Ident 2022 Shared Task on Survey Variable Identification in Social Science Publications
Tornike Tsereteli, Yavuz Selim Kartal, Simone Paolo Ponzetto +3
In this paper, we provide an overview of the SV-Ident shared task as part of the 3rd Workshop on Scholarly Document Processing (SDP) at COLING 2022. In the shared task, participant…
Towards Automated Survey Variable Search and Summarization in Social Science Publications
Yavuz Selim Kartal, Sotaro Takeshita, Tornike Tsereteli +6
Nowadays there is a growing trend in many scientific disciplines to support researchers by providing enhanced information access through linking of publications and underlying data…
On the Limitations of Sociodemographic Adaptation with Transformers
Chia-Chien Hung, Anne Lauscher, Dirk Hovy +2
Sociodemographic factors (e.g., gender or age) shape our language. Previous work showed that incorporating specific sociodemographic factors can consistently improve performance fo…
Massively Multilingual Lexical Specialization of Multilingual Transformers
Tommaso Green, Simone Paolo Ponzetto, Goran Glavaš
While pretrained language models (PLMs) primarily serve as general-purpose text encoders that can be fine-tuned for a wide variety of downstream tasks, recent work has shown that t…
X-SCITLDR: Cross-Lingual Extreme Summarization of Scholarly Documents
Sotaro Takeshita, Tommaso Green, Niklas Friedrich +2
The number of scientific publications nowadays is rapidly increasing, causing information overload for researchers and making it hard for scholars to keep up to date with current t…
ZusammenQA: Data Augmentation with Specialized Models for Cross-lingual Open-retrieval Question Answering System
Chia-Chien Hung, Tommaso Green, Robert Litschko +5
This paper introduces our proposed system for the MIA Shared Task on Cross-lingual Open-retrieval Question Answering (COQA). In this challenging scenario, given an input question t…
Multi2WOZ: A Robust Multilingual Dataset and Conversational Pretraining for Task-Oriented Dialog
Chia-Chien Hung, Anne Lauscher, Ivan Vulić +2
Research on (multi-domain) task-oriented dialog (TOD) has predominantly focused on the English language, primarily due to the shortage of robust TOD datasets in other languages, pr…
Fair and Argumentative Language Modeling for Computational Argumentation
Carolin Holtermann, Anne Lauscher, Simone Paolo Ponzetto
Although much work in NLP has focused on measuring and mitigating stereotypical bias in semantic spaces, research addressing bias in computational argumentation is still in its inf…
PET: An Annotated Dataset for Process Extraction from Natural Language Text
Patrizio Bellan, Han van der Aa, Mauro Dragoni +2
Process extraction from text is an important task of process discovery, for which various approaches have been developed in recent years. However, in contrast to other information…