Telecomunicaciones, información y comunicación

Nonholonomic Source Seeking by Torque Tuning: Local and Semi-Global Feedbacks

- This paper studies source seeking for a torque-controlled nonholonomic vehicle with a laterally displaced scalar sensor. The vehicle has constant forward speed, while its yaw motion is controlled by...

SoK: A Taxonomy for Cybersecurity Incident Response Influence Factors

- Cybersecurity incident response has emerged as a critical area of interest for both researchers and practitioners. The corpus of literature on cybersecurity incident response is expanding, yet a...

AgentsCAD: Automated Design for Manufacturing of FDM Parts via Multi-Agent LLM Reasoning and Geometric Feature Recognition

- Parts manufactured with Fused Deposition Modeling (FDM) often require Design for Additive Manufacturing (DFAM) modifications to ensure printability, structural integrity, and reduced post-processing....

Understanding the Robustness of Distributed Self-Supervised Learning Frameworks Against Non-IID Data

- Recent research has introduced distributed self-supervised learning (D-SSL) approaches to leverage vast amounts of unlabeled decentralized data. However, D-SSL faces the critical challenge of data...

Improved Approximation Algorithms for n-Pairs Shortest Paths

- Let $G = (V, E)$ be a graph with $n = |V|$ nodes and $m = |E|$ edges. The $t$-Pairs Shortest Paths problem, introduced by Cohen [FOCS'93; SICOMP'99], asks to approximate the distances between...

HTTP REST API Structure Learning

- Application Programming Interfaces (APIs) are essential in software development, enabling web services, mobile apps, and microservices. However, their widespread use introduces significant security...

Extreme Adaptive Transformer for Time Series Forecasting

- Time series forecasting remains challenging when the underlying data contain rare but critical extreme events. This issue is particularly important in hydrologic forecasting, where streamflow...

Reasoning effort, not tool access, buys first-try reliability in agentic code generation: an observational study

- Agentic coding assistants are increasingly given extra capabilities, such as browser based testing tools and design oriented system prompts, on the assumption that more capability yields better...

MARVEL: Margin-Aware Robust von Mises-Fischer Expert Learning for Long-Tailed Out-of-Distribution Detection

- For clinical deployment, it is essential that automated diagnostic systems remain reliable when confronted with previously unseen cases, yet deep models routinely misclassify out-of-distribution...

Automated grading of Linux/bash examinations using large language models: a four-level cognitive taxonomy approach

- Scalable and reliable grading of command-line examinations remains a challenge in computing education, where rising enrolments make manual marking difficult and rule-based autograders cannot handle...

Physical surfaces make touch interactions in virtual reality precise, efficient, and bimanual

- Virtual reality (VR) systems can enable convenient hand-based interactions across diverse work scenarios. However, mid-air gestures lack tactile feedback and a physical reference surface to support...

QFedAgent: Quantum-Enhanced Personalized Federated Learning for Multi-Agent Activity Recognition

- Federated learning (FL) enables collaborative model training across distributed devices without sharing raw data, making it suitable for privacy-sensitive robotic sensing applications. However,...

LIME: Learning Intent-aware Camera Motion from Egocentric Video

- Autonomous robots often need to move their camera before they can act: to inspect an object, reveal an occluded region, or obtain a view that responds to a user's intent. While vision-language...

The Future of NLP may not be at NLP Conferences: Scholarly Migration Patterns in Natural Language Processing

- Natural Language Processing (NLP) has traditionally been published in its core disciplinary venues like ACL. However, advances in Large Language Models (LLMs) has led to a blurring of the...

Show Me Examples: Inferring Visual Concepts from Image Sets

- Vision-language models (VLMs) can follow complex textual instructions, yet they struggle to reason from purely visual context. In particular, current models fail to infer shared concepts from sets of...

FlintKV: A Fast Durable Storage Engine for Modern Databases

- Byte-addressable non-volatile memory (NVM) offers an opportunity to rethink storage engine architectures. While recent NVM key-value stores achieve high throughput for ingestion and point lookups,...

From Ham-Sandwich to Centerpoints: Semialgebraic Algorithms for Cutting Polytopal Measures

- We design exact algorithms for the ham-sandwich and centerpoint theorems for polytopal measures. Our key observation is that the cap-volume function of such a measure, i.e., the volume cut off by a...

Fast Multi-dimensional Refusal Subspaces via RFM-AGOP

- Steering and monitoring activations in Large Language Models (LLMs) are increasingly used for both safety and interpretability. Early work assumed behaviours are encoded along single linear...

Ultra-Low-Cost Hybrid Beamforming: A New Static-Connection Architecture with Sparse Phase-Shifter Sharing

- Hybrid beamforming is a promising solution for high-frequency multi-antenna wireless systems, but its implementation is constrained by the cost and complexity of analog phase-shifter (PS) networks....

WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs

- Large Language Model (LLM) inference workloads are a rapidly growing contributor to data center energy consumption. Optimizing these deployments requires matching specific LLMs to the most efficient...

Steerability via constraints: a substrate for scalable oversight of coding agents

- Coding agents are capable; human oversight is the bottleneck. Unconstrained agents introduce security risks, erode codebase scalability, and make human review increasingly costly. We argue that the...