Computer Science

Improving robot learning through a method focused on object movement.

A new system improves schema matching accuracy using generative tags and advanced features.

A new evaluation method for roadside perception enhances driverless car technology.

A new AI framework improves eye disease detection through enhanced imaging techniques.

A new method improves efficiency and design quality in logic synthesis using machine learning.

WARM aims to improve alignment of large language models with human values.

The study investigates universal neurons in GPT-2 models and their roles.

This work discusses natural strategies and probabilistic logics for multi-agent systems.

A new system improves schema matching accuracy using generative tags and advanced features.

New strategies enhance image and text understanding in models.

WARM aims to improve alignment of large language models with human values.

The study investigates universal neurons in GPT-2 models and their roles.

A study on MLLMs and their performance in nonverbal reasoning tasks.

A new model turns cooking recipes into graphs for easier understanding.

A new method for generating synthetic preference data enhances reward models in reinforcement learning.

This study reviews how well language models understand time-related questions.

An exploration of efficient higher-order functionals and their implications in computing.

Examining how pigeonhole principles and Ramsey theory shape search problems in computer science.

Quantum pseudorandom state scramblers enhance random state generation in quantum computing.

Examining the complexities of reconfigurable routing in modern data center networks.

Learn how omniprediction shapes forecasting in various industries.

A deep dive into the world of CSPs and their solutions.

A look into how random choices impact querying functions and complexity measures.

A guide to quantum error correction methods, focusing on the surface code.

A look into time slot allocation and its effects on train competition.

A novel SPH approach improves simulation for plates and shells under deformation.

Exploring the integration of machine learning in water electrolysis technology.

New strategies improve the efficiency of inverse design across various engineering fields.

Examining the role of wearable technology in monitoring chronic illnesses.

Exploring the latest developments in piezoelectric energy harvesting technology.

Studying adversarial impacts on automated stock trading agents in competitive markets.

A new optimization method for efficient district heating network design.

New techniques improve diameter calculations for unit-disk graphs, aiding efficient network analysis.

SurfaceNets improves efficiency in visualizing complex data for medical and biological applications.

Recent advancements improve speed and accuracy in measuring curve differences.

A new method enhances quadrilateral mesh generation with integrable frame fields.

This article discusses how to find the smallest round area covering points in a polygon.

A new approach for creating flexible and user-refined polycube layouts in 3D modeling.

Coresets enable efficient computation in machine learning while maintaining accuracy.

This article explores challenges and methods in visibility-based search for efficient route planning.

Analyzing decision-making and fairness through the lens of the Ultimatum Game.

Creating a balanced platform for organizations to share and benefit from data insights.

This article explores using game theory to enhance communication through language models.

Learn how Transaction Fee Redistribution Mechanisms can lower costs for blockchain users.

How network structures affect opinion sharing and belief accuracy.

Examining the impact of strategic user interactions on service performance.

This study shows how AI can predict human decision-making in economic scenarios.

An overview of multi-agent learning and strategies for better cooperation.

Learn about glaucoma, its risks, and management options for eye health.

Examining the state and challenges of computer vision research in Africa.

GSR transforms how we assess image quality through diverse viewer experiences.

Improving robot learning through a method focused on object movement.

SIAF improves video segmentation with user-friendly multi-frame interactions.

Introducing a system for flexible hockey rink registration across different layouts.

New strategies enhance image and text understanding in models.

GUISS tool aids robotic explorers on icy moons by simulating surfaces.

A new system helps students learn coding through interactive puzzles.

This article examines how AI performs in legal contract reviews compared to human lawyers.

Examining how individuals respond to phishing emails.

Discover the need for visibility and governance in AI agent operations.

Explore SCORPION, a dynamic Cyber Range for cybersecurity training and skill development.

A framework for designing trustworthy AI systems using the MAST tool.

Research shows AI changes idea diversity but not individual creativity.

A study reveals why users often stick to misinformation spreaders on social media.

Improving software security by identifying recurring coding flaws in open-source projects.

This article outlines a method for assessing security risks in DLT applications.

Explore how fuzzy logic enhances attack tree security assessments.

This research enhances intrusion detection using machine learning techniques for better cybersecurity.

Future monitors improve smart contract reliability by considering future transactions.

A look at the security risks facing IoT devices empowered by machine learning.

Examining how individuals respond to phishing emails.

A new dataset enhances vulnerability detection in open-source software for better security.

Learn how cross-validation enhances the reliability of predictive models.

Creating a balanced platform for organizations to share and benefit from data insights.

New techniques improve diameter calculations for unit-disk graphs, aiding efficient network analysis.

A new method to color edges in specific sparse graphs with minimal colors efficiently.

Exploring methods to improve search efficiency in trees with varying node costs.

Recent improvements in k-Clique algorithms enhance efficiency in identifying connected groups.

Examining methods to compute with noisy data across various functions.

A study on point arrangements and their implications in combinatorics and group theory.

A new system improves schema matching accuracy using generative tags and advanced features.

This study presents methods to reduce regret in billboard advertising slot allocation.

A system to streamline data collection on superconductors for improved research accuracy.

Unlocking the potential of graph databases with advanced query optimization techniques.

A new dataset reveals insights into the use of pre-trained models in software projects.

Human Digital Twins offer a digital view of individuals, enhancing healthcare and sports.

Learn how to minimize regret in billboard ad spaces.

Discover how Object Graph Programming simplifies data handling in software development.

Explores the connection between academic citations and scientific disruption.

Enhancing knowledge bases using language models and textual entailment for accuracy.

A look into how citation models can improve understanding of research impact.

Transforming scanned documents into usable text through error correction.

Examining how publication types shape aging research in genetics.

DEAN uses deep learning to automatically identify outdated information in knowledge graphs.

New analysis reveals inaccuracies in claims about reduced innovation in scientific papers and patents.

Analyzing trends and key contributors in quantitative finance from arXiv papers.

This article studies maximal cliques across various random network models.

A look at hypergraphs and their significance in analyzing complex connections.

Exploring methods to improve search efficiency in trees with varying node costs.

Examining the complexities of reconfigurable routing in modern data center networks.

A study on point arrangements and their implications in combinatorics and group theory.

This article examines the connections in friends-and-strangers graphs and their implications.

Explore how character order affects BWT performance in data compression.

A deep dive into the world of CSPs and their solutions.

New methods improve accuracy and efficiency in predicting network connections.

New self-healing systems learn to recover from failures without human help.

A new method enhances federated learning efficiency while maintaining data privacy.

Learn about Semi-Hierarchical Payment Channel Networks and their role in CBDC transactions.

Learn how agents explore networks without colliding in limited visibility.

Recent improvements reduce analysis time in plasma experiments, enhancing efficiency in data collection.

A study on balancing privacy and efficiency in medical image processing.

A new system improves how self-driving cars communicate and cooperate on the road.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

Exploring efficient methods to tackle complex optimization problems using tensor networks.

A guide to crafting clear and effective academic papers.

Research explores a method to form complex shapes with simple tiles.

Discover how quantum tools change music creation and performance.

A new method leveraging photonics for efficient deep learning.

A new quantum approach offers secure and efficient scalar product computation.

This article examines quantum forgery attacks on encryption schemes COPA, AES-COPA, and Marble.

Examining challenges transformer models face in learning structural recursion.

New methods improve efficiency in automata learning for complex systems.

A study of deterministic Parikh automata and their role in processing infinite words.

Learn how multiparty session types facilitate clear communication in complex systems.

An overview of regular languages and how they can be combined.

New method determines separability of VASS reachability languages.

A new approach to measure responsibility in AI models using game theory.

A new method improves system design for safety-critical applications.

GUISS tool aids robotic explorers on icy moons by simulating surfaces.

New method enables realistic 3D rendering from regular photos.

A new model enhances community search by integrating multi-dimensional edge attributes.

A look at how art and technology merge to create lifelike visuals.

This article presents a simpler way to render fabric details effectively.

A new method improves the creation of emotionally expressive talking-head videos.

This paper presents an AI method for efficient apartment building design.

A new method accelerates rendering of volumetric materials, enhancing quality and speed.

A new framework enhances GPU performance for deep learning tasks.

A new method improves efficiency and design quality in logic synthesis using machine learning.

A low-power op-amp design for improved biomedical applications.

Learn how CNM and CIM optimize data handling for machine learning.

A look at advancements in THz communication technology for IoT.

Learn how low-bit accumulators enhance DNN performance without sacrificing accuracy.

Researchers enhance read mapping efficiency using innovative algorithms and hardware.

Harnessing energy efficiency in industrial systems for optimal performance and sustainability.

A new method using foot pressure to assess body posture and joint angles.

A new system helps students learn coding through interactive puzzles.

MINT improves AI's data collection for better medical diagnosis.

Examining how individuals respond to phishing emails.

Meta prompting improves language model performance through task breakdown and expert collaboration.

This article discusses the role of SATD in software security.

A new AI system transforms color choices in interior design.

This article explores LLM confidence and user perceptions.

New methods assess how dialogue systems maintain personality consistency.

A new approach to assess search engine efficiency using session-level metrics.

Learn how technology helps categorize music genres efficiently.

A new method, InfoRank, reduces biases in online recommendations.

This article investigates methods to predict the effectiveness of personalized search results.

A system to automate monitoring of illicit activities on the dark web.

Explores the Neural Pattern Associator for smarter shopping suggestions.

A new framework speeds up information retrieval for language models.

New techniques improve wireless communication efficiency and reduce interference.

A new method improves polar codes for memoryless and memory channels using neural networks.

SHACL offers a practical solution for modeling complex regulatory requirements.

New methods enhance low-rank matrix recovery through innovative sampling techniques.

Examining methods to compute with noisy data across various functions.

Research on LRCs focuses on improving data recovery and understanding performance limits.

This paper examines AMP's role in high-dimensional statistics, focusing on sparse and robust regression.

Innovative methods for estimating covariance matrices while protecting personal privacy.

An exploration of efficient higher-order functionals and their implications in computing.

A look into how meaningfulness shapes programming language design and evaluation.

This work discusses natural strategies and probabilistic logics for multi-agent systems.

Future monitors improve smart contract reliability by considering future transactions.

A study on how computers can create interesting geometric theorems.

Examining challenges transformer models face in learning structural recursion.

Discover the role of monadic intersection types in improving programming language type systems.

A new framework for understanding agent interactions with resource constraints.

Learn about glaucoma, its risks, and management options for eye health.

Innovative method improves inference from data simulations using quantile regression.

New strategies enhance image and text understanding in models.

A new AI framework improves eye disease detection through enhanced imaging techniques.

This research enhances intrusion detection using machine learning techniques for better cybersecurity.

A new method for better understanding cause-and-effect relationships.

Introducing a flexible model for open-vocabulary semantic segmentation using language and visual features.

A new method improves efficiency and design quality in logic synthesis using machine learning.

Learn how Chisholm approximants aid in estimating functions with two variables.

A novel approach improves wave simulation in irregular landscapes for better predictions.

New algorithm improves analysis of complex datasets for researchers.

Learn how long memory influences predictions in various fields.

A user-friendly library for tensor simulations in physics.

A practical guide to the QuadratiK package for spherical data analysis.

A look at numerical computation and its applications in various fields.

A new framework aims to improve DSL interoperability and efficiency in HPC.

Exploring how social identity shapes choices in AI agents for urban transportation.

Analyzing decision-making and fairness through the lens of the Ultimatum Game.

Robots can work better in teams by sharing their abilities.

Innovative methods to enhance task execution and reduce failures in crowdsourcing.

A study of how individual actions shape economic stability and interactions.

A new method to forecast agent behavior despite incomplete observations.

This study presents methods to reduce regret in billboard advertising slot allocation.

This article examines how communication shapes social norms in autonomous agents.

A unified approach to assess fish feeding using audio and video data.

Discover how AI is changing video creation and streaming.

A dataset tailored for testing video quality in conferencing situations.

Researchers develop a framework for better video and text understanding.

A new method enhances audio-visual segmentation without detailed labels.

PIAVE helps machines extract voices clearly, even when speakers turn their heads.

A new system that connects music and language for better understanding.

Learn how to design posters that communicate messages clearly and attractively.

Utilizing Ensemble Deep Neural Networks for timely data collection in drone-assisted networks.

A tool to improve Wi-Fi signal analysis and human activity recognition.

Integrating sensing and communication for smarter applications in various fields.

A new approach enhances service delivery in fog computing for IoT applications.

A genetic algorithm optimizes resource allocation for cloud containers, enhancing efficiency and performance.

A new method improves service availability and response times in fog computing.

A look at improving data transfer with TSN techniques.

Examining the complexities of reconfigurable routing in modern data center networks.

Study reveals strong patterns in depthwise-separable CNNs linked to biological vision.

Learn how sign averaging improves optimization in noisy environments.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

GCUs connect machine learning models with biological neuron functions for improved efficiency and interpretation.

This research discusses the benefits of Evolvable Agents in distributed computing.

Learn how explainable benchmarking improves understanding of optimization algorithms.

Discover the energy-efficient world of Spiking Neural Networks and their unique learning methods.

Research highlights the importance of neuron interactions in sensory perception.

This paper examines error bounds in hierarchical Bayesian models for high-dimensional parameters.

Learn how Chisholm approximants aid in estimating functions with two variables.

Using tensor networks to optimize neutron transport equations in nuclear engineering.

A novel SPH approach improves simulation for plates and shells under deformation.

New methods improve smoothness in curves despite noisy data challenges.

A detailed comparison of GMLS and RBF-FD methods for accurate surface derivative calculations.

A novel approach improves wave simulation in irregular landscapes for better predictions.

This article examines how rumors spread and ways to manage their impact.

Learn how to enhance AI performance using GPU remoting and effective networking.

A new approach streamlines page table management in NUMA systems.

A new system enhances performance and reduces delays in medical AI applications.

LLMs are set to improve privacy and functionality on mobile devices.

Introducing a secure yet efficient method for managing private data.

A system of handles improves memory management and reduces fragmentation in unmanaged languages.

THEMIS improves fairness and efficiency in multi-tenant FPGA resource scheduling.

This review outlines a framework for AIOps in incident management.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer systems.

Innovative methods aim to improve parking management in busy cities.

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.

A new system reduces latency in Mixture-of-Experts models while managing memory costs.

This paper analyzes the behavior of deadline misses in soft real-time systems.

New methods streamline PageRank updates as networks change.

A closer look at the performance and challenges of large language models in practice.

Unlocking the potential of graph databases with advanced query optimization techniques.

A comprehensive assessment of DEVS simulation engines using the DEVStone benchmark.

A novel communication model to boost IoT device connectivity and efficiency.

Strategies to handle resource allocation in evolving communication systems.

A look into how meaningfulness shapes programming language design and evaluation.

Examining challenges transformer models face in learning structural recursion.

Discover the role of monadic intersection types in improving programming language type systems.

A novel approach to software testing using gray-box fuzzing and gradient descent.

A new method simplifies proving program properties using unrealizability logic.

Learn how Universal Composability and other theories enhance cryptographic security.

Learn how static analysis tools like C Analyzer improve software reliability.

This method enhances coding accuracy through reusable function learning and refactoring.

Improving robot learning through a method focused on object movement.

A new method using foot pressure to assess body posture and joint angles.

GUISS tool aids robotic explorers on icy moons by simulating surfaces.

A new evaluation method for roadside perception enhances driverless car technology.

A new system allows humans and robots to work together in sanding jobs.

A workshop highlights key challenges and solutions in robotics software engineering.

This study examines how shoulder stability affects arm strength and movement.

Introducing a method that improves robot learning for pick and place tasks.

New methods improve accuracy and efficiency in predicting network connections.

A new framework enhances anomaly detection in graph data using active learning techniques.

A look at hypergraphs and their significance in analyzing complex connections.

A new model enhances community search by integrating multi-dimensional edge attributes.

Automated tools often misjudge African American English, leading to unfair treatment online.

Explore potential weaknesses in IOTA's peer-to-peer technology and its resilience against attacks.

A study reveals why users often stick to misinformation spreaders on social media.

A new method forecasts the structure of dynamic graphs over time.

Improving software security by identifying recurring coding flaws in open-source projects.

New self-healing systems learn to recover from failures without human help.

This article outlines a method for assessing security risks in DLT applications.

A workshop highlights key challenges and solutions in robotics software engineering.

A new dataset enhances vulnerability detection in open-source software for better security.

Combining simulation and event analysis for software validation.

This article discusses the role of SATD in software security.

Learn key techniques for crafting better prompts for large language models.

New methods improve accuracy and speed in speech recognition technology.

A new synthesizer improves the generation of realistic sound effects for media.

A new approach enhances confidence estimation in ASR systems for better accuracy.

Introducing a framework for more natural and expressive speech synthesis.

Learn how technology helps categorize music genres efficiently.

A unified approach to assess fish feeding using audio and video data.

A new method improves the creation of emotionally expressive talking-head videos.

This study explores issues with using convnets for audio filterbank creation.

This study examines how ML improves variable selection in symbolic computation.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

FEX offers a novel approach to understanding complex network dynamics from limited data.

A deep dive into the role of symmetric functions over finite fields.

Investigating new methods to enhance pseudorandom generators for better algorithm efficiency.

A look into how we determine parameter values in differential equations.

Learn how to make parameters identifiable in ODE models.

A look into the role of quantum circuits in computing and future prospects.

Old smartphones can help manage energy use in modern buildings.

Optimizing electricity flow through adaptive transmission switching enhances efficiency and reduces costs.

A new system improves detection and management of harmful algal blooms in water bodies.

A new automated system combines visual and tactile sensing for accurate defect detection.

This research explores the relationship between reachable sets and system dynamics identification.

A low-power op-amp design for improved biomedical applications.

Examining how electric ride-hailing drivers manage pick-ups and charging decisions.

Exploring robot coverage for safety in hazardous environments.