976 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Centre National de la Recherche ScientifiqueFR49 papers
- Technical University of DenmarkDK38 papers
- Aarhus UniversityDK29 papers
- University of CopenhagenDK23 papers
- Tokyo Institute of TechnologyJP19 papers
- University of ManchesterGB18 papers
- École Polytechnique Fédérale de LausanneCH17 papers
- University of OxfordGB16 papers
- Centre de Physique ThéoriqueFR14 papers
- East China Normal UniversityCN14 papers
- IMAR - Institutul de Matematică „Simion Stoilow” al Academiei RomâneRO14 papers
- Imperial College LondonGB14 papers
98 papers · 1 filter
Power Efficient Cooperative Communication within IIoT Subnetworks: Relay or RIS?
Hamid Reza Hashempour, Gilberto Berardinelli, Ramoni Adeogun +1
The forthcoming sixth-generation (6G) industrial Internet-of-Things (IIoT) subnetworks are expected to support ultra-fast control communication cycles for numerous IoT devices. How…
Breaching 1.5°C: Give me the odds
J. Eduardo Vera-Valdés, Olivia Kvist
Climate change communication is crucial to raising awareness and motivating action. In the context of breaching the limits set out by the Paris Agreement, we argue that climate sci…
SnakModel: Lessons Learned from Training an Open Danish Large Language Model
Mike Zhang, Max Müller-Eberstein, Elisa Bassignana +1
We present SnakModel, a Danish large language model (LLM) based on Llama2-7B, which we continuously pre-train on 13.6B Danish words, and further tune on 3.7M Danish instructions. A…
From Voice to Value: Leveraging AI to Enhance Spoken Online Reviews on the Go
Kavindu Ravishan, Kavindu Perera, Dániel Szabó +5
Online reviews help people make better decisions. Review platforms usually depend on typed input, where leaving a good review requires significant effort because users must careful…
Experimental Study of Low-Latency Video Streaming in an ORAN Setup with Generative AI
Andreas Casparsen, Van-Phuc Bui, Shashi Raj Pandey +2
Current Adaptive Bit Rate (ABR) methods react to network congestion after it occurs, causing application layer buffering and latency spikes in live video streaming. We introduce a…
Electrically Tunable Interband Collective Excitations in Biased Bilayer and Trilayer Graphene
Tomer Eini, M. F. C. Martins Quintela, J. C. G. Henriques +4
Collective excitations of charged particles under the influence of an electromagnetic field give rise to a rich variety of hybrid light-matter quasiparticles with unique properties…
INCLUDE: Evaluating Multilingual Language Understanding with Regional Knowledge
Angelika Romanou, Negar Foroutan, Anna Sotnikova +56
The performance differential of large language models (LLM) between languages hinders their effective deployment in many regions, inhibiting the potential economic and societal val…
TEAM: Topological Evolution-aware Framework for Traffic Forecasting--Extended Version
Duc Kieu, Tung Kieu, Peng Han +3
Due to the global trend towards urbanization, people increasingly move to and live in cities that then continue to grow. Traffic forecasting plays an important role in the intellig…
Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays Integration
Esmaeel Mohammadi, Daniel Ortiz-Arroyo, Aviaja Anna Hansen +4
Wastewater treatment plants face unique challenges for process control due to their complex dynamics, slow time constants, and stochastic delays in observations and actions. These…
Functional Array Programming in an Extended Pi-Calculus
Hans Hüttel, Lars Jensen, Chris Oliver Paulsen +1
We study the data-parallel language BUTF, inspired by the Futhark language for array programming. We give a translation of BUTF into a version of the pi-calculus with broadcasting…
Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective
Ernests Lavrinovics, Russa Biswas, Johannes Bjerva +1
Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP) based applications including automated text generation, question answering, chatbots, and others.…
Robust estimation of carbon dioxide airborne fraction under measurement errors
J. Eduardo Vera-Valdés, Charisios Grivas
This paper discusses the effect of measurement errors in the estimation of the carbon dioxide (CO) airborne fraction. We are the first to present regression-based estimates and…
Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning
Abdulkadir Celikkanat, Andres R. Masegosa, Thomas D. Nielsen
Obtaining effective representations of DNA sequences is crucial for genome analysis. Metagenomic binning, for instance, relies on genome representations to cluster complex mixtures…
Review on spin-wave RF applications
Khrystyna O. Levchenko, Kristýna Davídková, Jan Mikkelsen +1
This review explores the development of spin-wave technology, highlighting magnonics as a promising route for radio frequency (RF) communication systems. The rollout of 5G and the…
Prediction of Wireless Channel Statistics with Ray Tracing and Uncalibrated Digital Twin
Mahmoud Saad Abouamer, Robin J. Williams, Petar Popovski
We introduce a framework for predicting wireless channel statistics based on digital twin (DT) and ray tracing. The DT is derived from satellite images and is uncalibrated, as it d…
Experimental Assessment of Human Blockage at sub-THz and mmWave Frequency Bands
Juan E. Galeote-Cazorla, Alejandro Ramírez-Arroyo, José-María Molina-García-Pardo +2
The fifth generation (5G) of mobile communications relies on extremely high data transmission rates utilizing a wide range of frequency bands, including FR1 (sub-6 GHz) and FR2 (mm…
Explanation of the exceptionally strong timing noise of PSR J0337+1715 by a circum-ternary planet and consequences for gravity tests
Guillaume Voisin, Ismaël Cognard, Melaine Saillenfest +6
Context: Timing of pulsar PSR J0337+1715 provides a unique opportunity to test the strong equivalence principle (SEP) with a strongly self-gravitating object. This is due to its un…
Multi-Connectivity Solutions for Rural Areas: Integrating Terrestrial 5G and Satellite Networks to Support Innovative IoT Use Cases
Alejandro Ramírez-Arroyo, Melisa López, Ignacio Rodríguez +2
5G cellular networks are now a reality and promise to improve key performance indicators (KPIs), such as Gbps data rates and latencies in the order of milliseconds. While some of t…
A Type System for Data Flow and Alias Analysis in ReScript
Nicky Ask Lund, Hans Hüttel
ReScript is a strongly typed language that targets JavaScript, as an alternative to gradually typed languages, such as TypeScript. In this paper, we present a sound type system for…
Physical Informed-Inspired Deep Reinforcement Learning Based Bi-Level Programming for Microgrid Scheduling
Yang Li, Jiankai Gao, Yuanzheng Li +4
To coordinate the interests of operator and users in a microgrid under complex and changeable operating conditions, this paper proposes a microgrid scheduling model considering the…
Noise Tolerant Force Calculations in Density Functional Theory: A Surface Integral Approach for Wavelet-Based Methods
Moritz Gubler, Jonas A. Finkler, Stig Rune Jensen +2
We introduce a method for computing quantum mechanical forces through surface integrals over the stress tensor within the framework of density functional theory. This approach avoi…
Puncturing Quantum Stabilizer Codes
Jaron Skovsted Gundersen, René Bødker Christensen, Markus Grassl +2
Classical coding theory contains several techniques to obtain new codes from other codes, including puncturing and shortening. For quantum codes, a form of puncturing is known, but…
Linguistically Grounded Analysis of Language Models using Shapley Head Values
Marcell Fekete, Johannes Bjerva
Understanding how linguistic knowledge is encoded in language models is crucial for improving their generalisation capabilities. In this paper, we investigate the processing of mor…
Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis
Yiyi Chen, Qiongxiu Li, Russa Biswas +1
Language Confusion is a phenomenon where Large Language Models (LLMs) generate text that is neither in the desired language, nor in a contextually appropriate language. This phenom…