Telecomunicaciones, información y comunicación

UniDial-EvalKit: A Unified Toolkit for Evaluating Multi-Faceted Conversational Abilities

- Benchmarking large language models (LLMs) and agents in multi-turn interactive scenarios is essential for understanding their practical capabilities. However, existing evaluation protocols are highly...

Graph Energy Matching: Transport-Aligned Energy-Based Modeling for Graph Generation

- Generative modeling of discrete data, such as graphs, underpins many scientific and industrial applications, including molecular discovery and materials design. In these domains, probabilistic...

Circuit-Inspired High-Order Neural Networks with Unified Neural Dynamics Modeling for PDE Solving and Visual Perception

- Deep networks often rely on architectural heuristics to shape representation evolution, limiting their ability to model data governed by intrinsic dynamics. We present the Circuit-inspired High-Order...

Beyond Static Uncertainty: Modeling Temporal Uncertainty Dynamics for Probabilistic Time Series Forecasting

- Real-world time series exhibit temporally structured uncertainty: volatility clusters in turbulent regimes, dissipates in stable periods, and shifts abruptly around structural breaks. Yet many...

Improved Approximation Algorithms and Hardness Results for Shortest Common Superstring with Reverse Complements

- The Shortest Common Superstring (SCS) problem is a fundamental task in sequence analysis. In genome assembly, however, the double-stranded nature of DNA implies that each fragment may occur either in...

TTE-CAM: Self-Explainable Class Activation Maps for Pretrained Black-Box CNNs

- Convolutional neural networks (CNNs) achieve state-of-the-art performance in medical image analysis yet remain opaque, limiting adoption in high-stakes clinical settings. Existing approaches face a...

Multi-Level Barriers to Generative AI Adoption Across Disciplines and Professional Roles in Higher Education

- Generative Artificial Intelligence (GenAI) is rapidly reshaping higher education, yet barriers to its adoption across different disciplines and institutional roles remain underexplored. Existing...

Serverless5GC: Private 5G Core Deployment via a Procedure-as-a-Function Architecture

- Open-source 5G core implementations deploy network functions as always-on processes that consume resources even when idle. This inefficiency is most problematic in private and edge deployments with...

A Perturbation Approach to Unconstrained Linear Bandits

- We revisit the standard perturbation-based approach of Abernethy et al. (2008) in the context of unconstrained Bandit Linear Optimization (uBLO). We show the surprising result that in the...

EBuddy: a workflow orchestrator for industrial human-machine collaboration

- This paper presents EBuddy, a voice-guided workflow orchestrator for natural human-machine collaboration in industrial environments. EBuddy targets a recurrent bottleneck in tool-intensive workflows:...

IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment

- Vision-Language Models like CLIP are extensively used for inter-modal tasks which involve both visual and text modalities. However, when the individual modality encoders are applied to inherently...

ShapDBM: Exploring Decision Boundary Maps in Shapley Space

- Decision Boundary Maps (DBMs) are an effective tool for visualising machine learning classification boundaries. Yet, DBM quality strongly depends on the dimensionality reduction (DR) technique and...

LH-Bench: Skill-Grounded Evaluation of Long-Horizon Agents on Subjective Enterprise Tasks

- Large language models excel on objectively verifiable tasks such as math and programming, where evaluation reduces to unit tests or a single correct answer. In contrast, real-world enterprise work is...

From Weak Cues to Real Identities: Evaluating Inference-Driven De-Anonymization in LLM Agents

- Anonymization is often assumed to protect privacy once explicit identifiers are removed, because re-identification has historically required specialized expertise, tailored algorithms, and manual...

Functorial Neural Architectures from Higher Inductive Types

- Neural networks often learn the parts of a task but fail on novel combinations of those parts. We argue that this failure is architectural: a decoder generalizes compositionally only when it respects...

Surprised by Attention: Predictable Query Dynamics for Time Series Anomaly Detection

- Multivariate time series anomalies often manifest as shifts in cross-channel dependencies rather than simple amplitude excursions. In autonomous driving, for instance, a steering command might be...

GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent

- Many large language model applications require conditioning on long contexts. Transformers typically support this by storing a large per-layer KV-cache of past activations, which incurs substantial...

AtlasRAN: Timing-Aware Evaluation of Open-source 5G Platforms for Integrated Wireless Testbeds

- Open-source 5G and O-RAN experimentation now spans discrete-event simulators, host-OS emulators, SDR hardware-in-the-loop testbeds, O-RU/Open Fronthaul deployments, wireless digital twins, and...

What is Missing? Explaining Neurons Activated by Absent Concepts

- Explainable artificial intelligence (XAI) aims to provide human-interpretable insights into the behavior of deep neural networks (DNNs), typically by estimating a simplified causal structure of the...

Generative Drifting is Secretly Score Matching: a Spectral and Variational Perspective

- Generative Modeling via Drifting~\citep{deng2026drifting} has recently achieved state-of-the-art one-step image generation through a kernel-based drift operator, yet its success is largely empirical...

Hybrid Energy-Aware Reward Shaping: A Unified Lightweight Physics-Guided Methodology for Policy Optimization

- Deep reinforcement learning for continuous control often suffers from high variance, low energy efficiency, and poor generalization under distribution shift, as purely data-driven exploration ignores...