Computer Science

This article examines how well language models reflect human political beliefs and morality.

A practical guide to selecting reinforcement learning algorithms based on your needs.

A look at improving AI explanation methods for better understanding.

Research highlights the importance of data features in model accuracy.

Learn how decision theory and logic improve choices in uncertain situations.

Propper enhances ILP systems to learn effectively from uncertain data.

A new approach uses language data to enhance problem diagnosis in industrial systems.

EHL* optimizes memory use while quickly finding shortest paths in complex environments.

This article examines how well language models reflect human political beliefs and morality.

A new method improves language model capabilities without losing original knowledge.

Research shows effective replacement of Positional Embeddings in translation models.

A new approach uses language data to enhance problem diagnosis in industrial systems.

Exploring the impact of transformer models in radiology report creation.

A new approach enhances translation quality by combining text and image processing models.

New AI method improves travel data collection for better city planning.

VALE enhances understanding of AI image classification through dual explanations.

This research explores solutions to polynomial equations and their implications in mathematics.

A simplified look at CSPs and the impact of additional constraints.

Introducing character complexity to improve quantum circuit analysis and algorithm design.

Channel allocation strategies for improving performance in Wi-Fi networks.

New techniques improve approximations for challenging CSP instances.

A guide to the concepts of tensor rank and subrank.

A look at simplicial complexes and their applications in mathematics and decision-making.

A look into quantum computing's role in decision-making with altered data.

A new approach for generating controlled financial market scenarios.

A new method combines manifold learning with model order reduction for efficiency.

StockTime combines numerical and textual data for better stock predictions.

ProteinGPT simplifies protein study through an interactive chat system.

Embedding indicators in structures can alert to overload situations, enhancing safety.

A framework for fair pricing in smart home cyber insurance.

A new neural network, STAResNet, offers improved solutions for electromagnetic field predictions.

New methods improve accuracy in predicting enzyme functions and reactions.

This article discusses critical geometric challenges in robotics and automation.

CPE-MFA offers a new method for efficient critical point extraction in large datasets.

A new approach using Cayley coordinates enhances volume calculations in molecular science.

A look into optimizing routes for watchmen to ensure complete area coverage.

Discovering new methods for creating 3D shapes from cross-sections.

This article explores the concept and applications of weakly leveled planar drawings.

New methods enhance clarity in storyline drawings by minimizing curve crossings.

Learn about the construction and significance of monotone arc diagrams in graph representation.

New methods improve decision-making in group settings using probabilistic models.

An overview of logistics challenges in competitive scenarios.

Examining no regret strategies in two-player Stackelberg games for improved decision-making.

A new approach to CFR enhances speed for large games using GPUs.

Exploring how collaboration can improve outcomes in congestion games.

A look into the dynamics of matching markets and their implications.

Examining the vulnerabilities of navigational recommendation systems and how to enhance safety.

A study on enhancing navigational recommendations for better urban driving experiences.

A practical guide to selecting reinforcement learning algorithms based on your needs.

A look at improving AI explanation methods for better understanding.

Study reveals how better images increase user engagement on Mercari.

This paper presents a deep learning model to address climate change in Jammu and Kashmir.

Research improves automated sticker detection for sustainable electronic waste management.

A method combining visual and language models identifies fake images effectively.

VALE enhances understanding of AI image classification through dual explanations.

A novel technique improves accuracy in identifying deepfakes across various types.

A guide to aligning business practices with the EU Taxonomy for sustainability.

This article reviews gender bias evaluation in text-to-image generation.

This article presents an algorithm for creating consensus clusterings from various graph partitions.

Explore the links between teaching methods and theories in computing education.

This article examines how ChatGPT influenced student projects in a software competition.

New AI method improves travel data collection for better city planning.

AI nudges enhance pharmacy operations and patient care.

A new approach to school boundaries aims to reduce segregation.

A method combining visual and language models identifies fake images effectively.

A look at NFT metadata storage risks and decentralized alternatives.

A detailed study on the security of Olm and Megolm protocols in Matrix.

The SEBQ scheme offers advanced security in symmetric encryption using quasigroups.

A technique to help robots recover from attacks while staying mission compliant.

RPKI is vital for authenticating Internet addresses and preventing routing attacks.

Analyzing the psychological tactics used in harmful emails for better defenses.

Investigating backdoor attacks and their risks to object detection systems.

This article presents an algorithm for creating consensus clusterings from various graph partitions.

This article discusses recovering probability distributions from noisy measurements using Chebyshev polynomials.

SparseGPT improves the speed and efficiency of large language models through parameter pruning.

New methods improve efficiency in solving complex computational problems.

Exploring random walks on the associahedron and their mixing times.

Exploring efficient methods for accurate log-concave sampling in complex data environments.

Learn about advancements in joint replenishment strategies for efficient inventory management.

Research focuses on efficient algorithms for dominating sets in complex networks.

A guide to aligning business practices with the EU Taxonomy for sustainability.

EHL* optimizes memory use while quickly finding shortest paths in complex environments.

A novel method to enhance data discovery and analysis for better predictions.

A look into the complexities of identifying candidate keys in database design.

A new framework optimizes queries across relational and graph data.

A new method combines logic and machine learning for better SQL queries.

Using knowledge graphs to analyze event logs can improve process efficiency.

TAG improves how natural language questions are answered using databases.

A study of collaboration in Data Mining and Software Engineering.

Tabulapdf simplifies data extraction from PDF tables for users in various fields.

Researchers develop techniques to produce lyrics without copyright issues.

A new method improves parsing of complex historical documents.

This study examines how language models enhance OCR outputs for historical newspapers.

This study examines the effectiveness of LLMs in musicology and their reliability.

This project enhances text correction in Bulgarian historical documents using OCR technology.

A new model improves how researchers manage citations and scholarly articles.

Study of connections in networks through random geometric graphs.

An overview of digraphs, their cycles, and the concept of period.

A look into Woodall's conjecture and its significance in planar graphs.

Learn how to determine fair meeting spots using graph centers and centroids.

Exploring the complexity of dividing graphs into two connected groups.

Channel allocation strategies for improving performance in Wi-Fi networks.

Ultrahomogeneous graphs showcase symmetry, impacting various fields like computer science.

Exploring the patterns and properties of binomial coefficients and their significance.

This article covers a system that manages communication between processes using sandboxes.

A new system enhances performance for resource-heavy language models.

This research explores how blockchain can improve IoT service monitoring.

Understanding SLAs for better IoT service quality.

New methods improve efficiency in solving complex computational problems.

A new approach enhances data sharing among distributed AI models.

Innovative methods enhance quantum circuit simulations, overcoming hardware limitations.

Research focuses on efficient algorithms for dominating sets in complex networks.

Introducing SAM-SP, a model enhancing image segmentation with less expert guidance.

Exploring the efficiency of Photonic KAN in artificial intelligence and computing.

New research on Quantum Energy Teleportation shows improved energy transfer efficiency using three qubits.

This research explores how blockchain can improve IoT service monitoring.

Understanding SLAs for better IoT service quality.

New techniques in NV magnetometry enhance magnetic field measurement accuracy and efficiency.

A new approach to building accessible virtual spaces using WebXR and A-Frame.

Creating open access to data empowers communities and drives progress.

Discover how Cyber-Physical Systems improve efficiency across various industries.

Learn how configuration monitoring reveals system settings through behavior analysis.

A new method improves process models by incorporating expert rules.

Streamlined systems for improved interactions between humans and machines.

This article explores how attractors influence system behavior over time.

Discover how stochastic L-systems simulate realistic plant growth patterns.

Learn about tree transducers, their types, features, and applications in data processing.

New techniques enhance offline learning for Regular Decision Processes in complex environments.

New methods improve plasma emission visualization and property recovery in fusion studies.

A new method to analyze causal graphs for better healthcare insights.

A new method to analyze changing shapes of tree-like structures over time.

A new approach improves the design of surfaces that control light patterns.

Learn efficient methods for rendering glints on shiny surfaces using area lights.

McGrids enhance iso-surface extraction for complex 3D modeling.

DynaSurfGS enhances video-based object modeling with improved image quality and shape accuracy.

A new method using ray tracing for efficient particle interaction in 3D spaces.

A look into efficient AI using SNNs and IMC technology.

A new framework improves Vision Transformers' energy efficiency for AI applications.

Skeia tackles shadow branches to enhance instruction fetching efficiency.

Exploring the potential of SNNs for efficient processing.

Exploring communication methods within multi-GPU supercomputers for enhanced performance.

Researching hardware designs to optimize CNNs for energy-efficient image processing.

Shared-PIM improves memory efficiency and speed for computing tasks.

New techniques reduce energy use in deep learning while maintaining accuracy.

Personalizing audio descriptions can enhance the viewing experience for blind and low-vision individuals.

A new method for discreetly controlling smart glasses using teeth clicks.

A new AR system enhances teamwork between humans and robots through gaze control.

A new method to analyze causal graphs for better healthcare insights.

A tool improves metadata management in scientific workflows for machine learning applications.

Exploring the meaning and impact of hope on mental health and resilience.

Explore ways to effectively communicate uncertainty in data predictions.

Exploring the impact of Generative AI on education and its potential benefits and challenges.

A new model enhances efficiency and accuracy in recommendation systems.

This article presents an algorithm for creating consensus clusterings from various graph partitions.

A new method for analyzing A/B tests improves decision-making in recommendation systems.

The Multi-Treatment Multi-Task framework improves user response analysis in marketing.

A new approach to assessing how citations support statements in generated text.

Exploring fairness in personalized recommendations using graph neural networks.

A new method helps GNNs learn from unfamiliar data effectively.

A fresh look at enhancing recommendation systems by understanding user choices.

Combining quantum and classical approaches to improve communication systems and beamforming.

New methods aim to improve mobile communication efficiency using machine learning.

New methods improve UAV signal mapping in complex urban settings.

This work focuses on explaining decision-making in AI using Monte Carlo Tree Search.

Learn how dimension reduction simplifies complex data for easier analysis and interpretation.

This article discusses privacy challenges and solutions in smart grid technology.

A new approach enhances data security in mixed RF and UOWC systems.

Enhancing FSO communication through reconfigurable intelligent surfaces for improved performance.

Learn how decision theory and logic improve choices in uncertain situations.

A look at using barrier certificates for safer quantum circuit verification.

Exploring the impact of positive equality-free logic on model-checking methods.

A deep dive into probabilistic programming for handling uncertainty in various applications.

This article discusses improving smart contract defenses against attacks in decentralized finance.

Explore how event structures model relationships between actions in computing.

This article discusses a method to improve SMT solving by using machine learning for quantifier selection.

Learn how to make sense of complex neural networks.

Learn how eBay can improve vendor outage management with data insights.

A practical guide to selecting reinforcement learning algorithms based on your needs.

Introducing an easy approach for identifying unusual items in datasets.

A look at improving AI explanation methods for better understanding.

Research highlights the importance of data features in model accuracy.

Persistent sampling enhances efficiency in Sequential Monte Carlo methods for data analysis.

Propper enhances ILP systems to learn effectively from uncertain data.

A new approach uses language data to enhance problem diagnosis in industrial systems.

ideal.II makes using space-time methods in deal.II easier for engineers and scientists.

A new tool to improve predictions using deep learning and data assimilation techniques.

Analyzing the partitioning of a sphere into equal areas and its applications.

PySLSQP simplifies nonlinear programming with real-time visualization and automatic derivatives.

A new library enhances MPPI algorithms for robotics applications.

A new library improves methods for handling complex multiobjective optimization problems.

A new framework combines machine learning and PDEs for efficient scientific modeling.

Learn how quantum emulators advance research and explore algorithm performance.

A new approach enhances teamwork and decision-making in decentralized robot systems.

MEDCO enhances medical education through interactive, teamwork-focused learning.

New methods improve decision-making in group settings using probabilistic models.

A new method enhances warehouse operations by combining task assignment and path finding.

A novel approach to locate multiple sources in 3D space using TDOA measurements.

VIRIS helps assess and reduce airborne disease risks in indoor spaces.

A framework to improve expert contributions in agent-based models.

MAPF-GPT offers an innovative approach to solving multi-agent pathfinding challenges using machine learning.

Cap2Sum uses dense video captions to improve video summarization efficiency and effectiveness.

MaVEn enhances AI's ability to process multiple images for better reasoning.

AI is reshaping how music is composed and experienced.

A new method improves emotion recognition in conversations using multiple data sources.

Introducing RMARN: an innovative approach to connect text and 3D data.

A new method transforms text into detailed 3D scenes seamlessly.

A new approach to building accessible virtual spaces using WebXR and A-Frame.

SynthDoc creates synthetic documents for machine learning in document reading.

This research explores how blockchain can improve IoT service monitoring.

Understanding SLAs for better IoT service quality.

Innovative loss function improves CQI prediction accuracy in dynamic 5G environments.

This article presents a machine learning approach for anomaly detection in telecommunication systems.

Exploring communication efficiency for IoT devices in wireless networks.

LIMO optimizes task allocation in fog computing for mobile users.

Exploring communication methods within multi-GPU supercomputers for enhanced performance.

A study on improving efficiency in network slice management across multiple domains.

A look into efficient AI using SNNs and IMC technology.

A new algorithm improves brain activity estimates in complex noise environments.

A new method simplifies how we assess model uncertainty in predictions.

Explore the complex journey of how we see colors.

Exploring polynomial neural networks and their applications in various fields.

Discover how neuromorphic computing mimics brain learning for efficient machine intelligence.

Innovative architecture enhances efficiency in deep learning through optical computation.

A new model improves accuracy of wind speed predictions in challenging landscapes.

A new approach to manage uncertainties in renewable energy production.

Learn how RSVD simplifies large datasets efficiently.

Researchers present a faster way to solve complex differential equations using random walks.

Innovative approach enhances control strategies in high-dimensional environments.

New methods enhance efficiency in solving particle transport equations.

A hybrid filter enhances numerical methods for better accuracy in discontinuous regions.

Enhancing fluid flow control with innovative numerical techniques and robust approaches.

Improving stability and accuracy in RBF interpolation through innovative parameter selection.

This article covers a system that manages communication between processes using sandboxes.

A new split OS design enhances cloud application performance and resource management.

Learn how explicit speculation boosts storage efficiency in applications.

CyberCortex.AI revolutionizes robot communication and efficiency in various fields.

FlexBSO enhances virtual storage efficiency, flexibility, and performance using advanced SmartNIC technology.

A look into memory allocation strategies and their importance in system efficiency.

A new approach to safeguarding system logs from unauthorized access and tampering.

A detailed look at CXL memory performance and optimization techniques.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

Researchers create digital copies of animals for ethical and efficient studies.

Discover how DNA could change the future of data storage.

Exploring communication methods within multi-GPU supercomputers for enhanced performance.

New methods enhance the efficiency and accuracy of weather predictions.

TINA makes signal processing easier on neural network hardware.

A comprehensive tool for evaluating high-performance computing systems.

A new method helps identify performance issues in complex software systems.

DiOMP combines PGAS and OpenMP for efficient distributed systems programming.

This article examines AI's growing energy needs and its implications for power systems.

Analyzing energy consumption in supercomputers for enhanced efficiency.

Learn how to craft specifications for programs with complex behaviors.

Learn how to analyze heap memory for better program performance.

This paper discusses the importance of generating diverse code solutions.

A new method improves translation across multiple programming languages.

Learn to create efficient data structures for concurrent programming environments.

Galley simplifies programming with sparse tensors, enhancing efficiency and performance.

This paper presents a method to automatically create formal semantics using interpreters.

A new type system for Elixir improves error detection and code clarity.

A new approach enhances teamwork and decision-making in decentralized robot systems.

A new AR system enhances teamwork between humans and robots through gaze control.

New method helps robots learn tasks with just one video, improving efficiency.

This article discusses critical geometric challenges in robotics and automation.

A technique to help robots recover from attacks while staying mission compliant.

Robots enhance data gathering with improved viewpoint planning techniques.