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Modern research heavily relies on software. A significant challenge researchers face is understanding the complex software used in specific research fields. We target two scenarios in this context, namely long onboarding times for newcomers…

Software Engineering · Computer Science 2026-04-14 Adrian Bajraktari , Andreas Vogelsang

Science communication forms the bridge between computer science researchers and their target audience. Researchers who can effectively draw attention to their research findings and communicate them comprehensibly not only help their target…

Computers and Society · Computer Science 2023-01-25 Marvin Wyrich , Stefan Wagner

The growing volume of scientific literature makes it challenging for scientists to move from a list of papers to a synthesized understanding of a topic. Because of the constant influx of new papers on a daily basis, even if a scientist…

Digital Libraries · Computer Science 2025-08-07 Paris Koloveas , Serafeim Chatzopoulos , Dionysis Diamantis , Christos Tryfonopoulos , Thanasis Vergoulis

Compilers are widely-used infrastructures in accelerating the software development, and expected to be trustworthy. In the literature, various testing technologies have been proposed to guarantee the quality of compilers. However, there…

Software Engineering · Computer Science 2018-11-01 Yixuan Tang , Zhilei Ren , Weiqiang Kong , He Jiang

Reading plays a vital role in updating the researchers on recent developments in the field, including but not limited to solutions to various problems and collaborative studies between disciplines. Prior studies identify reading patterns to…

Digital Libraries · Computer Science 2022-05-18 Bhanuka Mahanama , Gavindya Jayawardena , Yasasi Abeysinghe , Vikas Ashok , Sampath Jayarathna

The rapid expansion in the size of new datasets has created a need for fast and efficient parameter-learning techniques. Compressive learning is a framework that enables efficient processing by using random, non-linear features to project…

Machine Learning · Computer Science 2025-08-18 Daniel Mas Montserrat , David Bonet , Maria Perera , Xavier Giró-i-Nieto , Alexander G. Ioannidis

Scholarly reading often involves engaging with various supplementary materials beyond PDFs to support understanding. In practice, scholars frequently incorporate such external materials into their reading workflow through annotation.…

Human-Computer Interaction · Computer Science 2026-03-19 Qi Xu , Beat Signer

Efficiently navigating and understanding academic papers is crucial for scientific progress. Traditional linear formats like PDF and HTML can cause cognitive overload and obscure a paper's hierarchical structure, making it difficult to…

Human-Computer Interaction · Computer Science 2025-07-28 Zijian Zhang , Pan Chen , Fangshi Du , Runlong Ye , Oliver Huang , Michael Liut , Alán Aspuru-Guzik

The number of academic papers being published is increasing exponentially in recent years, and recommending adequate citations to assist researchers in writing papers is a non-trivial task. Conventional approaches may not be optimal, as the…

Information Retrieval · Computer Science 2020-01-09 Yang Zhang , Qiang Ma

Scientific software is one of the key elements for reproducible research. However, classic publications and related scientific software are typically not (sufficiently) linked, and it lacks tools to jointly explore these artefacts. In this…

Digital Libraries · Computer Science 2018-06-21 Anett Hoppe , Jascha Hagen , Helge Holzmann , Günter Kniesel , Ralph Ewerth

Identifying critical research within the growing body of academic work is an intrinsic aspect of conducting quality research. Systematic review processes used in evidence-based medicine formalise this as a procedure that must be followed in…

Digital Libraries · Computer Science 2024-10-14 John Hawkins , David Tivey

Literature analysis facilitates researchers better understanding the development of science and technology. The conventional literature analysis focuses on the topics, authors, abstracts, keywords, references, etc., and rarely pays…

Machine Learning · Computer Science 2019-12-02 Rujing Yao , Linlin Hou , Yingchun Ye , Ou Wu , Ji Zhang , Jian Wu

Abstractive summarization of scientific papers has always been a research focus, yet existing methods face two main challenges. First, most summarization models rely on Encoder-Decoder architectures that treat papers as sequences of words,…

Computation and Language · Computer Science 2025-05-21 Tong Bao , Heng Zhang , Chengzhi Zhang

Reading levels are highly individual and can depend on a text's language, a person's cognitive abilities, or knowledge on a topic. Text simplification is the task of rephrasing a text to better cater to the abilities of a specific target…

Computation and Language · Computer Science 2023-07-10 Björn Engelmann , Fabian Haak , Christin Katharina Kreutz , Narjes Nikzad Khasmakhi , Philipp Schaer

This paper presents a systematic review of benchmarks and approaches for explainability in Machine Reading Comprehension (MRC). We present how the representation and inference challenges evolved and the steps which were taken to tackle…

Computation and Language · Computer Science 2020-10-02 Mokanarangan Thayaparan , Marco Valentino , André Freitas

With the rapid growth of scholarly archives, researchers subscribe to "paper alert" systems that periodically provide them with recommendations of recently published papers that are similar to previously collected papers. However,…

Digital Libraries · Computer Science 2024-05-10 Yoonjoo Lee , Hyeonsu B. Kang , Matt Latzke , Juho Kim , Jonathan Bragg , Joseph Chee Chang , Pao Siangliulue

This paper is simply a collection of process diagrams for further use and reference. These are diagrams about different approaches to research.

Human-Computer Interaction · Computer Science 2022-09-27 Sheelagh Carpendale

This paper was written in 2015, and published in the Journal of Humanistic Mathematics. This paper announces the first issue (2015) of Enchiridion: Mathematics User's Guides, a project to produce peer-reviewed User's Guides as companions to…

History and Overview · Mathematics 2021-09-14 Cary Malkiewich , Mona Merling , David White , Luke Wolcott , Carolyn Yarnall

Learning semantically meaningful representations from scientific documents can facilitate academic literature search and improve performance of recommendation systems. Pre-trained language models have been shown to learn rich textual…

Computation and Language · Computer Science 2023-05-09 Anastasia Razdaibiedina , Alexander Brechalov

Over 15 years of teaching, advising students and coordinating scientific research activities and projects in computer science, we have observed the difficulties of students to write scientific papers to present the results of their research…

General Literature · Computer Science 2015-06-02 Wladmir Cardoso Brandão