Telecomunicaciones, información y comunicación

Empirical evidence of Large Language Model's influence on human spoken communication

- From the printing press to social media, innovations in communication technology have repeatedly reshaped how ideas spread through human culture. Chatbots powered by generative artificial...

QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL

- Fine-tuning large language models (LLMs) for specific domain tasks has achieved great success in Text-to-SQL tasks. However, these fine-tuned models often face challenges with multi-turn Text-to-SQL...

Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and Opportunities

- Machine Learning (ML) has become central to Autonomous Vehicles (AVs), supporting perception, prediction, planning, control, and decision-making in dynamic environments. However, achieving full...

Decentralized Reliability Estimation for Low Latency Mixnets

- Mix networks (mixnets) enable anonymous packet-based communication via multi-hop routing. Measuring the reliability of mix nodes serving as intermediate hops in a way that is decentralized, accurate,...

Decoupled Alignment for Robust Plug-and-Play Adaptation

- We introduce a training-free safety enhancement method for aligning large language models (LLMs) without the need for supervised fine-tuning or reinforcement learning from human feedback. Our main...

Goal-Oriented Sensor Reporting Scheduling for Non-linear Dynamic System Monitoring

- Goal-oriented communication (GoC) is a form of semantic communication where the effectiveness of information transmission is measured by its impact on achieving the desired goal. In...

OGM-CBF: Occupancy Grid Map-based Control Barrier Function for Safe Mobile Robot Control with Memory of out of View Obstacles

- Safe control in unknown environments is a key challenge in mobile robotics. Control Barrier Functions (CBFs) provide a principled framework for guaranteeing safety constraint satisfaction....

A short review on the maximum clique problem algorithms with classical, AI, and quantum methods

- This manuscript provides a comprehensive review of the Maximum Clique Problem, a computational problem that involves finding subsets of vertices in a graph that are all pairwise adjacent to each...

A Fast Confirmation Rule for the Ethereum Consensus Protocol

- A Confirmation Rule is an algorithm run by network nodes to determine whether a block will remain permanently in the canonical chain. The only Confirmation Rule currently available in Ethereum's...

Seeing Through Uncertainty: Free-Energy-Inspired Real-Time Adaptation for Robust Visual Navigation

- Navigation in the natural world is a feat of adaptive inference, where biological organisms maintain goal-directed behaviour despite noisy and incomplete sensory streams. Central to this ability is...

Efficient, traceable, and numerically error-free implementation of the MMS voting rule

- We propose an alternative algorithm to compute the MMS voting rule. Instead of using linear programming, in this new algorithm the maximin support value of a committee is computed using a sequence of...

Bridging the Gap between Newton-Raphson Method and Regularized Policy Iteration

- Regularization is a cornerstone of modern reinforcement learning. Regularized policy iteration (RPI) provides a fundamental scheme for solving regularized Markov decision processes (RMDPs), and the...

Beyond Interestingness: Semantic and Context-Aware Natural Language Query Recommendations for Visual Data Analysis

- Recent advances in large language models (LLMs) have made natural language interfaces (NLIs) widely accessible for data exploration, yet analysts who have a broad analytical objective still face the...

What does the model actually see? Evaluation protocols and input availability in data-driven prediction of room acoustic parameters

- Machine-learnt models are increasingly used to predict ISO 3382-1 room acoustic parameters from sparse measurements, with reported coefficients of determination frequently above 0.85. This paper...

Delocalization of bias in unadjusted Hamiltonian Monte Carlo and underdamped Langevin

- Unadjusted samplers such as unadjusted Hamiltonian Monte Carlo and underdamped Langevin are well-known to be biased. Metropolis--Hastings adjustment has been conventionally incorporated into...

Stochastic binary networks with asymmetric and time-delayed interactions

- Stochastic binary networks are widely used to describe collective dynamics in complex systems and to perform neuromorphic computation, yet realistic networks often contain both asymmetric...

Subjective Risk Decomposition: A New View for Uncertainty Quantification

- We present a novel viewpoint for uncertainty quantification. Uncertainty measures are not primitives, in need of axioms and argumentation, but instead consequences, of higher-level modelling...

SLT 2026 REAL-TSE Challenge: Real-world Target Speaker Extraction from Conversational Recordings

- We introduce the REAL-TSE Challenge, an IEEE SLT 2026 satellite challenge on target speaker extraction~(TSE) from real conversational recordings. Given a multi-speaker mixture and one or more...

LDGM-Based Quantum Codes for Fault-Tolerant Quantum Computation

- We construct a new family of Calderbank-Shor-Steane (CSS) codes using the generator and parity-check matrices of Low-Density Generator Matrix (LDGM) codes, with row operations applied to both...

Superadditivity for Entanglement-Assisted Communication

- The entanglement-assisted capacity of a quantum channel admits an additive single-letter characterization, implying that joint encodings across channel uses cannot increase the ultimate communication...

Modular-CAPA-Based Communication Systems: Joint Activation and Beamforming Design

- A modular continuous aperture array (CAPA)-based multi-user communication system is investigated, where only a portion of the aperture, namely sub-CAPAs, is activated to serve users. The signal model...