Javier Conde Díaz

Assistant Professor

Universidad Politécnica de Madrid

Spain

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Javier Conde Díaz is an Assistant Professor at Universidad Politécnica de Madrid, Spain. His research focuses on artificial intelligence, natural language processing, and the evaluation of large language models. Recent publications include works on AI-generated word assessments, the robustness of FPGA-based language models, and energy-efficient neural networks for IoT devices.

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2025

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2022

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2021

Collaborators (11)

Marc Brysbaert

Ghent University

BELGIUM

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Aldo Gordillo

Universidad Politécnica de Madrid

SPAIN

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ALVARO ALONSO GONZALEZ

Universidad Politécnica de Madrid

SPAIN

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Fabrizio Lombardi

Northeastern University

UNITED STATES

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Elena Merino-Gómez

Universidad de Valladolid

SPAIN

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Joaquín Salvachúa

Universidad Politécnica de Madrid

SPAIN

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GABRIEL HUECAS FERNANDEZ-TORIBIO

Universidad Politécnica de Madrid

SPAIN

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Pedro Reviriego

SPAIN

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Alejandro Pozo Huertas

Universidad Politécnica de Madrid

SPAIN

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José Alberto Hernández

Universidad Carlos III de Madrid

SPAIN

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Jose Andres Munoz Arcentales

Assistant Professor

Universidad Politécnica de Madrid

SPAIN

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Javier Conde Díaz

Research Interests

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Articles (20)

Robustness Against Faults in Configuration Memories of FPGA-Based LLMs

Can ChatGPT Learn to Count Letters?

TELEIA: A Spanish language dataset for evaluating artificial intelligence models

AI-generated estimates of familiarity, concreteness, valence, and arousal for over 100,000 Spanish words

Assessing Latency in ASR Systems: A Methodological Perspective for Real-Time Use.

Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL)

Speed and Conversational Large Language Models: Not All Is About Tokens per Second

Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things

Understanding the Impact of Artificial Intelligence in Academic Writing: Metadata to the Rescue

Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study

Empowering Database Learning Through Remote Educational Escape Rooms

Enhanced FIWARE-Based Architecture for Cyberphysical Systems With Tiny Machine Learning and Machine Learning Operations: A Case Study on Urban Mobility Systems

Establishing vocabulary tests as a benchmark for evaluating large language models

Overcoming the Barriers of Using Linked Open Data in Smart City Applications

Collaboration of Digital Twins Through Linked Open Data: Architecture With FIWARE as Enabling Technology

Modeling Digital Twin Data and Architecture: A Building Guide With FIWARE as Enabling Technology

Applying digital twins for the management of information in turnaround event operations in commercial airports

Applying digital twins for the management of information in turnaround event operations in commercial airports

Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation

Bridging the Gap between Academia and Industry through Students’ Contributions to the FIWARE European Open-Source Initiative: A Pilot Study

Collaborators (11)

Marc Brysbaert

Aldo Gordillo

ALVARO ALONSO GONZALEZ

Fabrizio Lombardi

Elena Merino-Gómez

Joaquín Salvachúa

GABRIEL HUECAS FERNANDEZ-TORIBIO

Pedro Reviriego

Alejandro Pozo Huertas

José Alberto Hernández

Jose Andres Munoz Arcentales

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