Explanipedia

Evaluation of an On-Ground Regional Passenger Cabin Demonstrator Open

Anna Reichherzer, Victor Norrefeldt, Benjamin Müller, Davide Straninger, Britta Herbig , et al. · 2025

The comparatively environmentally friendly turboprop aircraft should be used more often, but still need some improvements, especially regarding noise. To facilitate research into these improvements, an On-Ground Regional Passenger Cabin De…

Review of Kalman’s Framing Borders: Principle and Practicality in the Akwesasne Mohawk Territory Open

Benjamin Müller · 2024

Validation of a turboprop cabin demonstrator Open

Anna Reichherzer, Victor Norrefeldt, Britta Herbig, Benjamin Müller, P. Vink , et al. · 2024

Turboprop aircraft should be improved as they are more environmentally friendly aircraft compared to turbojet aircraft but noise and vibration are often too high for passengers. A simple and uncomplicated way to carry out experiments is us…

Global optimization of mixed-integer nonlinear programs with SCIP 8 Open

Ksenia Bestuzheva, Antonia Chmiela, Benjamin Müller, Felipe Serrano, Stefan Vigerske , et al. · 2023

The rise of the border apps Open

Philippe M. Frowd, Benjamin Müller, Can E. Mutlu · 2023

People on the move make extensive use of digital devices and tools. States also rely on these tools to control and channel mobility, making software an essential feature of mobility and borders. Various types of software are at the heart o…

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants Open

Lucas Bandarkar, Davis Liang, Benjamin Müller, Mikel Artetxe, Satya Narayan Shukla , et al. · 2023

We present Belebele, a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. Significantly expanding the language coverage of natural language understanding (NLU) benchmarks, this dataset enables the e…

The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages Open

Benjamin Müller, Belen Alastruey, Prangthip Hansanti, Elahe Kalbassi, Christophe Ropers , et al. · 2023

Gender biases in language generation systems are challenging to mitigate. One possible source for these biases is gender representation disparities in the training and evaluation data. Despite recent progress in documenting this problem an…

Evaluating and Modeling Attribution for Cross-Lingual Question Answering Open

Benjamin Müller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder , et al. · 2023

Trustworthy answer content is abundant in many high-resource languages and is instantly accessible through question answering systems, yet this content can be hard to access for those that do not speak these languages. The leap forward in …

Changes of peripheral T cell subsets in melanoma patients with immune-related adverse events Open

Benjamin Müller, Anne Bärenwaldt, Petra Herzig, Alfred Zippelius, Lara Valeska Maul , et al. · 2023

Introduction Immunotherapies have improved the prognosis of many cancer patients including patients with advanced melanoma. Immune checkpoint receptors including CTLA-4 and PD-1 have been established as main therapeutic targets for immunot…

Enabling Research through the SCIP Optimization Suite 8.0 Open

Ksenia Bestuzheva, Mathieu Besançon, Wei‐Kun Chen, Antonia Chmiela, Tim Donkiewicz , et al. · 2023

The SCIP Optimization Suite provides a collection of software packages for mathematical optimization centered around the constraint integer programming framework SCIP . The focus of this article is on the role of the SCIP Optimization Suit…

The social dilemma of big data: Donating personal data to promote social welfare Open

Kirsten Hillebrand, Lars Hornuf, Benjamin Müller, Daniel Vrankar · 2023

When using digital devices and services, individuals provide their personal data to organizations in exchange for gains in various domains of life. Organizations use these data to run technologies such as smart assistants, augmented realit…

Comparative validation of machine learning algorithms for surgical workflow and skill analysis with the HeiChole benchmark Open

Martin Wagner, Beat P. Müller‐Stich, Anna Kisilenko, Duc Tran, Patrick Heger , et al. · 2023

Purpose: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-auton…

Global Optimization of Mixed-Integer Nonlinear Programs with SCIP 8 Open

Ksenia Bestuzheva, Antonia Chmiela, Benjamin Müller, Felipe Serrano, Stefan Vigerske , et al. · 2023

For over ten years, the constraint integer programming framework SCIP has been extended by capabilities for the solution of convex and nonconvex mixed-integer nonlinear programs (MINLPs). With the recently published version 8.0, these capa…

Evaluating and Modeling Attribution for Cross-Lingual Question Answering Open

Benjamin Müller, John Wieting, Jonathan H. Clark, Tom Kwiatkowski, Sebastian Ruder , et al. · 2023

Benjamin Muller, John Wieting, Jonathan Clark, Tom Kwiatkowski, Sebastian Ruder, Livio Soares, Roee Aharoni, Jonathan Herzig, Xinyi Wang. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.

Inria-ALMAnaCH at the WMT 2022 shared task: Does Transcription Help Cross-Script Machine Translation? Open

Jesujoba O. Alabi, Lydia Nishimwe, Benjamin Müller, Camille Rey, Benoît Sagot , et al. · 2022

International audience

Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer Open

Benjamin Müller, Deepanshu Gupta, Siddharth Patwardhan, Jean-Philippe Fauconnier, David Vandyke , et al. · 2022

Multi-lingual language models (LM), such as mBERT, XLM-R, mT5, mBART, have been remarkably successful in enabling natural language tasks in low-resource languages through cross-lingual transfer from high-resource ones. In this work, we try…

How Can We Make Language Models Better at Handling the Diversity and Variability of Natural Languages ? Open

Benjamin Müller · 2022

Deep Learning for NLP has led to impressive empirical progress in recent years. In essence, this progress is based on better contextualized representations that can be easily used for a wide variety of tasks. However, these models usually …

Independent Quality Assessment of Essential Climate Variables: Lessons Learned from the Copernicus Climate Change Service Open

Chunxue Yang, Chiara Cagnazzo, Vincenzo Artale, Bruno Buongiorno Nardelli, Carlo Buontempo , et al. · 2022

If climate services are to lead to effective use of climate information in decision-making to enable the transition to a climate-smart, climate-ready world, then the question of trust in the products and services is of paramount importance…

SCIP8: rethinking nonlinear constraint representation and recent progress Open

Mathieu Besançon, Ksenia Bestuzheva, Wei‐Kun Chen, Antonia Chmiela, Tim Donkiewicz , et al. · 2022

International audience

Feasible rounding based diving strategies in branch-and-bound methods for mixed-integer optimization Open

C. Neumann, Stefan Schwarze, Oliver Stein, Benjamin Müller · 2022

The MRL 2022 Shared Task on Multilingual Clause-level Morphology Open

Omer Goldman, Francesco Tinner, Hila Gonen, Benjamin Müller, Victoria Basmov , et al. · 2022

Omer Goldman, Francesco Tinner, Hila Gonen, Benjamin Muller, Victoria Basmov, Shadrack Kirimi, Lydia Nishimwe, Benoît Sagot, Djamé Seddah, Reut Tsarfaty, Duygu Ataman. Proceedings of the The 2nd Workshop on Multi-lingual Representation Lea…

The SCIP Optimization Suite 8.0 Open

Ksenia Bestuzheva, Mathieu Besançon, Wei‐Kun Chen, Antonia Chmiela, Tim Donkiewicz , et al. · 2021

The SCIP Optimization Suite provides a collection of software packages for mathematical optimization centered around the constraint integer programming framework SCIP. This paper discusses enhancements and extensions contained in version 8…

Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation Open

Benjamin Müller, Luca Soldaini, Rik Koncel-Kedziorski, Eric M. Lind, Alessandro Moschitti · 2021

Open-Domain Generative Question Answering has achieved impressive performance in English by combining document-level retrieval with answer generation. These approaches, which we refer to as GenQA, can generate complete sentences, effective…

Cross-Lingual GenQA: A Language-Agnostic Generative Question Answering Approach for Open-Domain Question Answering. Open

Benjamin Müller, Luca Soldaini, Rik Koncel-Kedziorski, Eric Lind, Alessandro Moschitti · 2021

Open-Retrieval Generative Question Answering (GenQA) is proven to deliver high-quality, natural-sounding answers in English. In this paper, we present the first generalization of the GenQA approach for the multilingual environment. To this…

Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark Open

Martin Wagner, Beat P. Müller‐Stich, Anna Kisilenko, Duc A. Tran, Patrick Heger , et al. · 2021

PURPOSE: Surgical workflow and skill analysis are key technologies for the next generation of cognitive surgical assistance systems. These systems could increase the safety of the operation through context-sensitive warnings and semi-auton…

On generalized surrogate duality in mixed-integer nonlinear programming Open

Benjamin Müller, Gonzalo Muñoz, Maxime Gasse, Ambros Gleixner, Andrea Lodi , et al. · 2021

The most important ingredient for solving mixed-integer nonlinear programs (MINLPs) to global $$\epsilon $$ -optimality with spatial branch and bound is a tight, computationally tractable relaxation. Due to both theoretical and practical…

Heidelberg colorectal data set for surgical data science in the sensor operating room Open

Lena Maier‐Hein, Martin Wagner, Tobias Roß, Annika Reinke, Sebastian Bodenstedt , et al. · 2021

Endoscopic Vision Challenge 2021 Open

Stefanie Speidel, Lena Maier‐Hein, Danail Stoyanov, Sebastian Bodenstedt, Martin Wagner , et al. · 2021

Minimally invasive surgery using cameras to observe the internal anatomy is the preferred approach to many surgical procedures. Furthermore, other surgical disciplines rely on microscopic images or use flexible endoscopes for diagnostic pu…

First Align, then Predict: Understanding the Cross-Lingual Ability of Multilingual BERT Open

Benjamin Müller, Yanai Elazar, Benoît Sagot, Djamé Seddah · 2021

Multilingual pretrained language models have demonstrated remarkable zero-shot cross-lingual transfer capabilities. Such transfer emerges by fine-tuning on a task of interest in one language and evaluating on a distinct language, not seen …

When Being Unseen from mBERT is just the Beginning: Handling New Languages With Multilingual Language Models Open

Benjamin Müller, Antonios Anastasopoulos, Benoît Sagot, Djamé Seddah · 2021

Transfer learning based on pretraining language models on a large amount of raw data has become a new norm to reach state-of-the-art performance in NLP. Still, it remains unclear how this approach should be applied for unseen languages tha…

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