Industria cultural y creativa

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework

- Memory emerges as the core module in the large language model (LLM)-based agents for long-horizon complex tasks (e.g., multi-turn dialogue, game playing, scientific discovery), where memory can...

Stochastic Parrots or Singing in Harmony? Testing Five Leading LLMs for their Ability to Replicate a Human Survey with Synthetic Data

- How well can AI-derived synthetic research data replicate the responses of human participants? An emerging literature has begun to engage with this question, which carries deep implications for...

Meaning over Motion: A Semantic-First Approach to 360° Viewport Prediction

- Ultra-high-resolution 360-degree video streaming is severely constrained by the massive bandwidth required to deliver immersive experiences. Current viewport prediction techniques predominately rely...

Listen to the Unexpected: Self-Supervised Surprise Detection for Efficient Viewport Prediction

- Adaptive streaming of 360-degree video relies on viewport prediction to allocate bandwidth efficiently. Current approaches predominantly use visual saliency or historical gaze patterns, neglecting...

Agentic Software Issue Resolution with Large Language Models: A Survey

- Software issue resolution aims to address real-world issues in software repositories based on natural language descriptions provided by users, and represents a key aspect of software maintenance....

Quantigence: A Multi-Agent Framework for Post-Quantum Security Analysis on Commodity Hardware

- The migration to post-quantum cryptography (PQC) forces security teams to synthesize a fast-moving literature spanning lattice theory, implementation security, and shifting NIST policy. We present...

Symbol Grounding in Neuro-Symbolic AI: A Gentle Introduction to Reasoning Shortcuts

- Neuro-symbolic (NeSy) AI aims to develop deep neural networks whose predictions comply with prior knowledge encoding, e.g. safety or structural constraints. As such, it represents one of the most...

A Bridge from Audio to Video: Phoneme-Viseme Alignment Allows Every Face to Speak Multiple Languages

- Speech-driven talking face synthesis (TFS) focuses on generating lifelike facial animations from speech input. Current TFS models perform well in English but struggle with non-English languages,...

Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime

- Neural scaling laws underlie many of the recent advances in deep learning, yet their theoretical understanding remains largely confined to linear models. In this work, we present a systematic...

AI Playing Business Games: Benchmarking Large Language Models on Managerial Decision-Making in Dynamic Simulations

- The rapid advancement of LLMs sparked significant interest in their potential to augment or automate managerial functions. One of the most recent trends in AI benchmarking is performance of Large...

FashionPose: Unified Text-Driven Fashion Synthesis with Joint Geometric and Photometric Control

- Realistic and controllable garment synthesis is essential for fashion e-commerce, yet it demands precise coordination between human pose geometry and environmental photometry. Conventional...

Optimal or Greedy Decision Trees? Revisiting their Objectives, Tuning, and Performance

- Recently there has been a surge of interest in optimal decision tree (ODT) methods that globally optimize accuracy directly, in contrast to traditional approaches that locally optimize an impurity or...

Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges

- Text generation has become more accessible than ever, and the growing interest in these systems, especially those using large language models, has spurred a surge in related publications. We provide...

Stochastic Dynamics on Persistence Diagram Space via Reinforcement Learning

- Persistence diagrams (PDs) provide stable and interpretable summaries of multiscale topological structure. While substantial progress has been made in the statistical analysis of PDs, existing...

On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities

- We study stochastic extragradient (SEG) methods for solving monotone variational inequality problems (VIPs) over a feasible set. Although extragradient is a foundational algorithm for VIPs and its...

A Low-Power Wearable Respiratory Sensor for Non-Invasive Stress Monitoring

- Respiration provides a continuously available window into physiological state and behavior. However, monitoring it outside controlled settings remains challenging because a wearable system must...

The ethics of artificial intelligence in the life sciences: Universality, cultural diversity and an architecture of care

- The life sciences and health research have started to benefit from artificial intelligence, which raises ethical concerns that are real but, we argue, not special. Any science should be governed by...

Distributed coordination for transmission-distribution systems with nonlinear flexibility aggregation

- High shares of distributed energy resources (DERs) transform distribution systems into active participants in integrated transmission and distribution (ITD) operations. Linear models enable scalable...

Fair and Efficient Balanced Allocations for Additive Valuations

- We study the existence of fair and efficient allocations of indivisible goods under the balancedness constraint, which requires that any two agents' bundles differ in size by at most one. Our...

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance

- Post-training adaptation has become central to modern machine learning practice and includes techniques such as retraining, fine-tuning, parameter-efficient adaptation, alignment, retrieval...

MultiMoQ: Multi-Access Media-Over-QUIC for Robust Immersive Video Streaming

- Live immersive video streaming, particularly 360-degree video, is increasingly adopted in applications such as virtual events, sports broadcasting, and remote education. Existing approaches struggle...