Computer Science

This study explores how deep learning can learn integrals and basic integration rules.

This survey reviews recent developments in multi-turn dialogue systems leveraging large language models.

A novel method for addressing complex optimization challenges using data-driven strategies.

A new method improves exploration strategies for agents in complex tasks.

A new method enhances fine-tuning efficiency for language models across diverse tasks.

A new method helps robots interpret human commands more effectively.

Exploring the connection between weight matrices and feature learning in neural networks.

Study reveals challenges and progress in chatbot memory during lengthy dialogues.

A new method to evaluate the accuracy of LLM outputs using local intrinsic dimensions.

Using language models to support and preserve endangered languages with limited resources.

This survey reviews recent developments in multi-turn dialogue systems leveraging large language models.

A method to enhance accuracy in large language models while ensuring varied responses.

A new method enhances fine-tuning efficiency for language models across diverse tasks.

A new method helps robots interpret human commands more effectively.

A framework for updating ontologies with new ideas using language models.

Improving doctor-patient communication through advanced speech recognition technologies.

A new method improves quantum simulations, addressing chemical reaction complexities.

This article discusses using predictions to enhance solutions for the Max-Cut problem.

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.

New preconditioning method improves material analysis in engineering.

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.

Explore the complexities of moving rectangular robots without collisions.

A study on methods to cover points with geometric shapes efficiently.

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.

A new learning algorithm for agents in constrained multi-player scenarios.

Prosumers are reshaping market dynamics by acting as both producers and consumers.

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.

Exploring the latest methods in human shape and clothing technology.

OpenMEDLab enhances access to medical AI tools and resources for better healthcare.

A new method enhances segmentation accuracy using class activation maps.

CAD-SIGNet improves how we reconstruct design history from point clouds.

A novel method for generating images from sketches presents new creative possibilities.

Machine learning techniques enhance the detection of defects in solar cells using electroluminescence images.

New dataset enhances computer agents' ability to perform various tasks.

Examining how models learn from multiple captions and the shortcuts they find.

Learn how Viblio helps users assess video trustworthiness on platforms like YouTube.

This article examines the reliability of political views in large language models.

This study examines how pooling data can enhance model fairness across diverse groups.

Examining the impact of AI-generated content on the social media art community.

Examining the evolution and user interactions with CMPs in the context of privacy laws.

Assessing four African countries' readiness for AI and the need for localized strategies.

Examining the impact of diversity and access in AI development.

This study examines challenges faced by multicultural users with voice assistants.

Exploring local differential privacy methods for secure graph analysis.

A fresh perspective on finding hidden threats in hardware design.

This article covers one-way functions and puzzles in quantum cryptography.

Quantum zero-knowledge proofs may change how we ensure online privacy and security.

We must improve security for industrial and space systems against modern threats.

Explore the privacy and security threats of voice-controlled technology.

A look into complexity assessment techniques for security tools and metrics.

A new method reveals backdoor attack threats in machine learning without sensitive data access.

Exploring local differential privacy methods for secure graph analysis.

A closer look at the dynamics of spins in statistical physics.

Learn how FlipHash provides stability in distributed databases.

Optimizing data selection can significantly enhance machine learning training efficiency and performance.

A study on methods to cover points with geometric shapes efficiently.

This article discusses using predictions to enhance solutions for the Max-Cut problem.

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.

GraphMatch offers a faster way to find matching subgraphs using FPGAs.

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.

Examining the growth and challenges of open access in academic publishing.

This article reviews data sharing practices in research at the Max Planck Society.

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.

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.

A dual method for training and using language models efficiently.

Decentralized platform aims to ensure genuine user feedback.

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 detailed analysis of quantum simulation tools and their performance challenges.

Nanoscale devices enhance disease diagnosis and treatment through flow-guided localization.

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.

Learn about CFGs and FSAs, their properties, and applications in programming and linguistics.

Exploring the structure and computation of equivariant ideals in infinitely many variables.

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.

A novel method for generating images from sketches presents new creative possibilities.

Learn how background and size influence brightness perception in our visual system.

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.

A fresh perspective on finding hidden threats in hardware design.

GraphMatch offers a faster way to find matching subgraphs using FPGAs.

A novel approach reduces RowHammer risks in DRAM with low costs.

This article discusses read disturbance in DRAM and introduces a new solution.

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.

Examining the difficulties of changing Wikipedia's content moderation system.

Study examines how display methods maintain driver readiness in automated cars.

New dataset enhances computer agents' ability to perform various tasks.

Explore how LLMs influence decision-making processes and their implications.

Learn how Viblio helps users assess video trustworthiness on platforms like YouTube.

A new system improves surgical learning through interactive video questions.

A system that helps users read text easily in AR.

Examining the careful use of AI in public sector agencies.

A framework for updating ontologies with new ideas using language models.

REAR enhances computer responses by prioritizing relevant information for better answers.

This study examines if language models can match human forecasting abilities.

Nanoscale devices enhance disease diagnosis and treatment through flow-guided localization.

A new method improves predictions for rare labels using metadata.

A new method combines text and ID features for better recommendations.

This article discusses improving accuracy in language models by managing knowledge conflicts.

A study on improving machine recognition of objects from any angle.

A look into the importance and challenges of online quantile regression.

Exploring the complexities of the P vs. NP problem in computer science.

A new approach to filling gaps in nearly low-rank data.

STAR-RIS technology improves wireless communication in challenging environments.

This article explores new techniques for learning shallow quantum circuits in quantum computing.

An overview of memory capacity in wide treelike committee machines and its implications.

This article explores how treelike committee machines manage memory capacity with different activations.

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

Learn about CFGs and FSAs, their properties, and applications in programming and linguistics.

Exploring the structure and computation of equivariant ideals in infinitely many variables.

Exploring the role of unification in enhancing proof systems for automated reasoning.

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.

Examining how marked Hawkes processes shed light on event interactions over time.

This study explores how deep learning can learn integrals and basic integration rules.

A novel method for addressing complex optimization challenges using data-driven strategies.

A new method improves exploration strategies for agents in complex tasks.

A new method helps robots interpret human commands more effectively.

A fresh perspective on finding hidden threats in hardware design.

Discover how AI transforms investment strategies for better returns and lower risks.

A new learning algorithm for agents in constrained multi-player scenarios.

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.

A new method improves exploration strategies for agents in complex tasks.

A new learning algorithm for agents in constrained multi-player scenarios.

A new model to analyze how biases affect opinions in social networks.

A new method helps global decision-makers manage many local agents effectively.

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 framework improves lip synchronization and visual quality in talking face videos.

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.

Strategies to reduce energy use in 5G beam management for low-cost devices.

A new method to evaluate network strength against attacks.

Nanoscale devices enhance disease diagnosis and treatment through flow-guided localization.

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.

A look into reservoir computing and its practical applications in data prediction.

A novel approach improves reasoning in neural networks by breaking tasks into stages.

Methods for predicting unseen data based on observed samples.

Discover how JCLEC-MO simplifies multi-objective optimization for engineers.

New learning methods enhance efficiency and accuracy of spiking neural networks.

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.

Explore improved methods for convection-diffusion problems in science and engineering.

Study reveals insights on how fluids move through porous materials.

New methods reduce computation time for solving complex equations.

iDARR offers a fresh approach to recover clarity from noisy images.

Improving the calibration of uncertainty enhances decision-making in various fields.

BNQN offers a smoother and more robust alternative for finding roots in mathematics.

Exploring techniques for solving PDEs on dynamic surfaces.

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

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.

This library simplifies automatic differentiation for web applications.

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.

Researchers are making robots that understand simple human instructions for better tasks.

MOSAIC uses robots to assist with cooking and improve kitchen efficiency.

NARUTO uses neural techniques for real-time 3D environment modeling.

A new method helps robots learn tasks better using natural language guidance.

A look into the F1TENTH platform and its impact on autonomous racing research.

Robots are learning to work together like humans in complex tasks.

Study shows robots can effectively assess children's mental health using established questionnaires.

Researchers combine trajectory optimization and reinforcement learning to enhance legged robots.

A new model to analyze how biases affect opinions in social networks.

A new method enhances network understanding by combining node features with structure.

Examining the role of offensive tweets in political discussions involving academic articles.

A new method to evaluate network strength against attacks.

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.

This study examines the rise of CI/CD practices among developers from 2012 to 2023.

Learn how Green Coding promotes sustainable software practices.

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 advancements in speech recognition to boost speed and accuracy.

Improving doctor-patient communication through advanced speech recognition technologies.

Synthia's Melody aids researchers in audio model testing against varied data.

Research focuses on improving ASR systems for unsegmented audio.

Research focuses on optimizing synthesizers for human vocalizations in various media.

A new method improves speaker verification by managing session variability effectively.

LLMs enhance accuracy and error correction in speech recognition systems.

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

Learn how to make parameters identifiable in ODE models.

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.

Learn how Monod kinetics enhances cell production efficiency in bioprocessing.

We must improve security for industrial and space systems against modern threats.

A new method improves fronthaul compression using machine learning for mobile networks.

New methods enhance aircraft path predictions for safer air traffic control.

Essential steps for writing and submitting academic papers to IEEE journals.

A new method enhances aircraft trajectory predictions for better air traffic safety.

Researchers are making robots that understand simple human instructions for better tasks.

New techniques improve learning efficiency in multi-agent environments.