Computer Science

CAG-ODE enhances predictions for systems with interacting agents and multiple interventions.

A look at EBBS and its role in enhancing translation quality.

A new ensemble approach improves parsing of complex sentence structures.

This article presents a method for clients with diverse objectives in federated bandit learning.

TV-TREES improves video question answering with clear reasoning structures.

A new method enhances testing robustness of language models by prioritizing novelty.

New methods aim to better evaluate reasoning skills in AI language models.

A new framework enhances multi-turn decision-making for language models.

A look at EBBS and its role in enhancing translation quality.

A new ensemble approach improves parsing of complex sentence structures.

Examining the limitations of language models for generating planning definitions in diverse settings.

TV-TREES improves video question answering with clear reasoning structures.

A new method enhances testing robustness of language models by prioritizing novelty.

New methods aim to better evaluate reasoning skills in AI language models.

A new framework enhances multi-turn decision-making for language models.

A new benchmark to improve ASR accuracy using language models.

A fresh approach offers efficient solutions for the vertex cover problem in graphs.

A detailed look into graph theory and its challenges.

An overview of ODEs in continuous computing and complexity challenges.

Research reveals significant findings on proof sizes for random logical statements.

Exploring how time impacts debts in financial systems and offering solutions.

Researchers push boundaries with new algorithms for polynomial factorization in computer science.

A new method improves calibration in multi-class classification efficiently.

An exploration of sumsets and their significance in computational mathematics.

A look at deep learning methods in drug discovery.

New techniques enhance the quality of fluid dynamics data for research and engineering.

Using multi-models to improve decision-making during complex situations like pandemics.

An overview of upgradeable smart contracts and their security challenges.

DNABERT-S improves DNA analysis with innovative embedding methods.

A new method improves efficiency in studying microstructure changes in materials.

Exploring how time impacts debts in financial systems and offering solutions.

ProtChatGPT enables easier access to protein information through conversational AI.

Researchers propose an objective method for studying complex branching networks in various biological systems.

A novel approach improves speed and accuracy in predicting crystal properties using machine learning.

A look at the minimum convex cover and maximum hidden set problems in polygons.

A concise look into the minimum enclosing ball problem and its applications.

Learn how to keep spanners efficient as points change in networks.

This study investigates storage needs for clustering large datasets efficiently.

This article examines point arrangements with integer distances across various geometrical structures.

This article presents a novel way to study geodesic disks and their intersections.

This paper investigates how MARL can enhance understanding of complex auctions.

A fresh approach offers efficient solutions for the vertex cover problem in graphs.

Explore how availability and throughput impact various resource management scenarios.

New methods ensure safety for buyers and sellers in online markets.

A new approach to enhance decision-making in public project selection.

Introducing a stochastic game model for effective military strategy analysis.

A look into matching problems and strategies for optimal pairings.

A look into how fairness affects job and opportunity matching.

AI systems improve diagnosis of H. pylori infections.

Improving technology's interaction with individuals through user digitization.

The All-Seeing Project V2 improves AI's understanding of object relationships in images.

A method for continuous model evaluation in machine learning to prevent overfitting.

TV-TREES improves video question answering with clear reasoning structures.

This research examines the shift from intentional to unintentional actions in videos.

Research reveals gaps in neural network performance against image corruption.

RoadRunner helps robots navigate difficult outdoor terrains safely and efficiently.

RATsApp offers automated feedback for improving STEM skills in students.

An overview of dApps, their structure, vulnerabilities, and future prospects.

A fresh approach offers efficient solutions for the vertex cover problem in graphs.

A study on students' views regarding fairness and ethics in MMLA.

Using machine learning to identify students at risk of dropping out early.

Using multi-models to improve decision-making during complex situations like pandemics.

SyllabusQA offers insights for automated question answering in education.

Exploring the intersection of encryption and technological advancements in cybersecurity.

Discussing privacy and fairness in machine learning through differential privacy and worst-group risk.

An overview of dApps, their structure, vulnerabilities, and future prospects.

New algorithms enhance privacy and accuracy in sparse data scenarios.

Ruledger provides a secure solution for smart home system vulnerabilities.

Examining how large language models can improve digital forensic investigations.

Examining the effectiveness and vulnerabilities of watermarking in AI-generated content.

AutoRobust uses reinforcement learning to strengthen malware detection systems against adversarial tactics.

New methods ensure safety for buyers and sellers in online markets.

Discover the complexity of relationships in higher-order networks and their applications.

A look into efficient job scheduling across various scenarios to minimize completion time.

Research highlights challenges in covering ordered items using directed graphs efficiently.

A look into matching algorithms and their performance in stochastic block models.

Researchers push boundaries with new algorithms for polynomial factorization in computer science.

A look into strategies for the Canadian Traveller Problem in graphs with blockages.

This article discusses privacy solutions for Max Cover and Set Cover problems.

Learn how to keep spanners efficient as points change in networks.

GraphMini accelerates graph pattern matching using auxiliary graphs, enhancing efficiency and speed.

Understanding various dimensions to assess data quality effectively.

ReMatch improves schema matching by utilizing retrieval-enhanced language models for better accuracy.

A new method improves data cleaning while maintaining fairness in machine learning models.

Model lakes could streamline the selection and management of machine learning models.

A new method enhances the accuracy and speed of query execution time predictions.

OCEL 2.0 improves how organizations record and analyze event logs.

A new method for creating tailored summaries from complex data graphs.

A novel approach to assess piano music difficulty using sheet music images.

Leveraging language models to streamline information extraction in virology.

This article examines citation manipulation and its effects on research evaluation.

Examining the rise of scientific misconduct and its impact on research quality.

A new framework aiding research in the complex art market.

A new score measures publication impact by balancing citations and publication age.

Enhancing dataset descriptions for better compliance and usability.

A look at shared knowledge and its role in society.

Quantum walks blend quantum mechanics and graph theory, offering fresh insights and applications.

This study examines how split recomposition affects word-representable graphs.

Explore the concept of mutual visibility in graphs and its applications.

A look into matching problems and strategies for optimal pairings.

Discover new methods for modifying graphs into proper Helly circular-arc graphs.

Exploring how time impacts debts in financial systems and offering solutions.

A look into matching algorithms and their performance in stochastic block models.

A look at tiled graphs and their role in tracking maturity stages.

This article discusses a flexible system for processing data efficiently in DRAM.

An overview of container usage and challenges in multi-cloud setups.

A new model structure enhances efficiency and maintains accuracy in recommendation systems.

Strategies for better resource allocation in serverless platforms.

GSL-LPA enhances community detection in large networks by maintaining connectivity.

Asyn2F improves asynchronous federated learning for better model training and data privacy.

A new method uses machine learning to detect errors in MPI programs effectively.

A new method enhances federated learning efficiency using client update strategies.

Memristors mimic brain function, advancing artificial intelligence and neuromorphic circuits.

Exploring the synergy of silicon photonics and neural networks for efficient information processing.

Discover how Step CRNs simulate complex circuits using simple rules.

Researchers merge digital and analog methods for improved optical computing efficiency.

Innovative methods improve operations in silicon quantum dot arrays using shuttling techniques.

Discover how neuromorphic photonic computing can enhance AI efficiency and speed.

A new method enhances accuracy in thermodynamic computing systems.

An analysis of how ChatGPT shapes various sectors and its potential effects.

A new method reduces syntax errors in code generated by large language models.

A simplified look at automata and their mathematical foundations.

Explore the significance and applications of combinatorial theory in various fields.

A look into right-linear grammars and their logical implications.

Study the transition from rational subsets to bounded regular languages through automata.

This article discusses how robots can better understand human preferences in task execution.

This article discusses how data-driven methods improve control systems through simplified models.

A new method for robot planning improves adaptability in changing environments.

Revolutionary technique generates quality 3D objects from one image.

MAIDR helps blind users access data visualizations through sound, touch, and text.

This innovative technique streamlines image editing for various users.

Exploring the hybrid base complex for better mesh organization.

A new approach improves the labeling of lung structures for better medical analysis.

A new system enhances projection mapping quality in well-lit spaces.

Enhancing computer animation realism through charged mass-spring systems.

A new method enhances caustics rendering using a Gaussian mixture model for improved visuals.

A new method improves the efficiency of residual networks on FPGAs.

This article discusses a flexible system for processing data efficiently in DRAM.

A look into PUFs and their role in IoT security.

A new model enhances timing analysis for effective digital circuit design.

New parallel RTL simulation methods are speeding up complex hardware design processes.

A new method to create custom memory managers enhances application performance and efficiency.

Timing verification is essential for reliable digital circuit design in advancing technology.

AI-native EDA transforms circuit design processes with large circuit models.

Exploring the challenges and potential of counterspeech supported by AI tools.

Improving technology's interaction with individuals through user digitization.

Exploring how Value Sensitive Design can enhance Responsible AI toolkits.

Research shows age and openness impact understanding AI explanations.

Enhancing decision-making tools for line managers to improve team collaboration.

A study on students' views regarding fairness and ethics in MMLA.

Study examines how colors in mobile games affect teenagers' feelings.

A new method combines federated learning and secure computation to protect gaze data privacy.

BasedAI uses encryption to ensure privacy while enhancing language model performance.

A new approach enhances product search relevance in e-commerce using advanced models.

A new model structure enhances efficiency and maintains accuracy in recommendation systems.

This article explores ways to enhance insurance product suggestions for customers.

SyllabusQA offers insights for automated question answering in education.

Exploring the intersection of encryption and technological advancements in cybersecurity.

An overview of the Hopfield network for effective audio signal recall.

An innovative approach to personalized news suggestions using language models.

An overview of dApps, their structure, vulnerabilities, and future prospects.

Enhancing communication reliability with innovative channel information techniques.

Exploring improvements in data transmission efficiency using Deep Learning techniques.

New methods enhance lossy compression through side information and importance sampling.

Examining how graph neural networks predict unseen data effectively.

New technologies like wake-up receivers are enhancing energy efficiency in battery-powered devices.

A look at how antenna systems enhance wireless communication.

A look into how Cell-Free Massive MIMO transforms mobile communication.

Combining rewriting and inductive reasoning boosts efficiency in automated theorem proving.

This paper examines invariant checking in systems with infinite states using two algorithms.

A new method for creating recursion-free programs from functional specifications.

This article reviews recent efforts to automate inductive reasoning in theorem proving.

Explore key programming concepts to create robust and reliable applications.

A detailed look into graph theory and its challenges.

A look at the journey of mathematics from its ancient roots to modern concepts.

A look at comparing nondeterministic probabilistic models and their importance.

A new method enhances sampling efficiency for complex probability distributions.

CAG-ODE enhances predictions for systems with interacting agents and multiple interventions.

A look at EBBS and its role in enhancing translation quality.

Strategies for effectively learning from data that depends on previous observations.

A new method enhances sound recognition and source location without labels.

A new ensemble approach improves parsing of complex sentence structures.

Study evaluates how likely the AMOC is to collapse due to climate change.

This article presents a method for clients with diverse objectives in federated bandit learning.

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

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

A look into Appell and Lauricella functions and their impact on scientific calculations.

CBC3D offers improved mesh generation for surgical planning and simulations.

GeoFlood helps predict water spread during floods, improving safety and preparedness.

SUGAR simplifies geometric algebra for engineers and mathematicians using Matlab.

Learn how Python aids in minimizing energy in complex systems.

A tool to generate and analyze synthetic sparse tensors in various fields.

This paper investigates how MARL can enhance understanding of complex auctions.

Using multi-models to improve decision-making during complex situations like pandemics.

A model for controlling disease spread through asymptomatic carriers in social networks.

Researchers improve drone operations for effective search and rescue.

New method improves learning speed and collaboration in multi-agent settings.

A new model examines the impact of discrimination on poverty and wealth inequality.

Study examines communication and teaching in agent systems under different governing models.

Exploring methods for secure information sharing in group discussions.

A new method generates fake defective samples to improve anomaly detection in manufacturing.

New method improves speaker verification by merging audio and visual data.

A new method enhances speaker tracking using audio and visual data.

MusicAOG simplifies music creation and understanding through innovative graph representation.

Analyzing stress and depression can enhance our understanding of mental health.

A new model identifies funny moments in videos using visual, audio, and text data.

AesopAgent enables users to create videos from stories using advanced AI tools.

Examining how images impact learning in Wikipedia articles.

Hercules optimizes network resource allocation for diverse application needs.

Learn how congestion control improves vehicle communication and enhances road safety.

Exploring the challenges and implications of misconfiguration in O-RAN systems for future networks.

A new method to label unknown IoT devices using network activity analysis.

A look into the upcoming 6G network and its potential impact.

Advancements in AI and ML enhance location services in 5G technology.

This paper discusses hidden communication risks in software-defined networks.

Exploring network isolation and new virtual switch designs for secure cloud environments.

Spyx library enhances efficiency in training spiking neural networks.

A novel approach improves efficiency in spiking neural networks without task dependency.

Researchers merge digital and analog methods for improved optical computing efficiency.

A fresh approach for assessing neural networks without extensive training.

This article discusses a new approach to on-device learning in IoT devices.

This study enhances draft tube design using machine learning for better hydropower efficiency.

ECToNAS streamlines the process of finding optimal neural network architectures.

A look at how lexicase selection handles multiple objectives in evolutionary computation.

Learn how geothermal wells are modeled to enhance energy extraction efficiency.

A study on controlling systems with Dirichlet boundary conditions for improved performance.

Exploring iterative methods for finding fixed points in various fields of study.

Researchers develop a new approach to track disease spread with minimal data.

A study on modeling elastic bodies under friction for improved engineering accuracy.

Learn about the Kaczmarz method for solving linear systems and its applications.

A faster approach for modeling light in biological tissues enhances medical imaging.

A new method simplifies complex multiscale problems using gradient descent.

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.

Compartmentalization offers a way to boost security in monolithic operating systems.

A new method to reduce data center memory costs effectively.

A new system improves function scheduling and resource management in serverless computing.

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.

GraphMini accelerates graph pattern matching using auxiliary graphs, enhancing efficiency and speed.

A new framework improves real-time analysis of dynamic graphs using persistent memory.

A new system enhances the output and cost-effectiveness of large language models.

Streamlining the calibration process for more accurate simulations in distributed computing.

Study reveals how AMD's Zen+ architecture executes instructions for better software optimization.

SiNPhAR utilizes silicon nitride to enhance photonic acceleration in deep learning tasks.

A look at innovative methods in cybersecurity using cyber deception.

Key insights on improving transaction processing in online systems.

A study ranks the programming capabilities of various large language models.

Discover how hybrid languages enhance programming through text-visual integration.

A new method reduces syntax errors in code generated by large language models.

CatCode aims to improve evaluation of LLMs in coding and language tasks.

A new method for verifying complex program properties to enhance security.

A look into denotational interpreters and their role in program analysis.

This study improves code models using compiler intermediate representations for better multilingual performance.

Introducing a new language for clear and efficient access permissions.

New control methods improve stability for underactuated balance robots using Gaussian processes.

Study reveals benefits of training robots with varied task experiences.

RoadRunner helps robots navigate difficult outdoor terrains safely and efficiently.

Improving the ability of AVs to predict driver behavior enhances safety.

MemoNav helps robots find their way using a unique memory system.

Examining the future impact of autonomous UAVs in strike missions against high-value targets.

Robots improve their interactions through a mix of learning methods.

A study on classifying UAVs using machine learning and time-series data.

Discover the complexity of relationships in higher-order networks and their applications.

Learn how agents coordinate effectively in networks to achieve common goals.

Examining how online discussions influence health behavior during the COVID-19 pandemic.

A model for controlling disease spread through asymptomatic carriers in social networks.

Exploring how YouTube Shorts changed content creation and viewer engagement.

GSL-LPA enhances community detection in large networks by maintaining connectivity.

Introducing Directional Graph Attention Network for improved node learning in complex graphs.

A new method for comparing temporal graphs efficiently.

Explore the significance of performance requirements and testing in software projects.

An overview of modern code reviews and their importance in software quality.

An overview of dApps, their structure, vulnerabilities, and future prospects.

Study shows cannabis negatively affects programming performance and does not boost creativity.

An analysis of fairness discussions among software engineers on Stack Exchange.

FlaKat offers a machine learning solution to identify and categorize flaky tests.

A look at the impact and presence of software architects in Brazil.

A study ranks the programming capabilities of various large language models.

A new method enhances sound recognition and source location without labels.

A new benchmark to improve ASR accuracy using language models.

New methods improve speech translation by focusing on contextual information.

A new method improves voice recognition for code-switching users.

Learn how sound analysis helps identify machine issues efficiently.

This project enhances real-time speech translation and automatic subtitling systems.

Exploring how sharpness of minima influences model performance on unseen audio data.

New method improves speaker verification by merging audio and visual data.

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

Explore the unique properties and applications of elliptic surfaces in mathematics.

Grobner bases simplify computations in solving polynomial equations, impacting fields like cryptography.

CGPO enhances decision-making in uncertain scenarios with mixed actions.

Explore solutions for agents moving through shared spaces without collisions.

Assessing the reasoning abilities of LLMs through the ARC benchmark.

This method improves tracking of solutions in changing systems of equations.

A novel algorithm improves computation of polynomial equations using Gröbner bases and Hensel lifting.

Quantum computing can enhance manufacturing through improved simulations and product designs.

New control methods improve stability for underactuated balance robots using Gaussian processes.

Research explores advanced methods to understand fish swimming and improve design of aquatic robots.

Exploring advancements in satellite communication through emerging space internet systems.

This research explores gain scheduling and neural operators for better control of nonlinear PDEs.

Learn how agents coordinate effectively in networks to achieve common goals.

Hybrid AC/DC micro-grids enhance renewable energy use and power distribution efficiency.

A new model enhances power flow analysis in hybrid AC/DC networks.