Computer Science

A new text-to-audio model using only public data.

This article examines how data preparation affects machine learning in cybersecurity.

Research introduces Fusion-LLM to enhance prediction of hot electron behavior in fusion.

Learn about vector graphics formats and QAs for better understanding.

A new approach improves decision-making in AI through causal relationships.

Combining audio and visual information enhances object recognition in videos.

A new approach enhances CSG modeling using fuzzy logic for smoother transitions.

A new dataset aims to improve understanding of code-switching across multiple languages.

A new method improves kNN classification using gradients for better feature representation.

A new dataset aims to improve understanding of code-switching across multiple languages.

A study on collecting and using user feedback to improve language models.

This study examines AI's role in generating test questions for education.

This article examines gender balance in French news broadcasts across different topics.

WGQA enhances the efficiency of language models while reducing memory needs.

This study reveals how LLMs evolve their capabilities during training.

Researchers propose a new method to classify fake news using deep learning.

A look into key probability distributions in computer science.

A look into minimal transversals and their significance in hypergraphs.

Examining query space and branching programs in quantum computing.

A method to prove time complexity using LiquidHaskell in real-world programming.

Research highlights complexities and algorithms related to the MMDS problem in graph theory.

An overview of matrix groups, orbit problems, and their computational implications.

An in-depth look at the challenges in P3-arrowing within graph theory.

This article discusses the complexities of choosing sensors and actuators in systems.

Explore how machine learning can improve hedging strategies for complex financial products.

A new approach to dynamic interest rates and collateral management in DeFi lending.

A new method improves predictions in complex systems using deep learning and Gaussian processes.

New method improves mesh adaptation for solving complex equations.

Mini-grids offer renewable energy solutions for rural communities facing power shortages.

This article discusses new methods for sewer pipe maintenance using machine learning.

A method to enhance centrifugal compressor performance through improved modal analysis.

This article explores how reinforcement learning can optimize microreactor operations.

A new method for clearer visualization of point data using simple shapes.

This paper presents new scheduling methods for improving drone package deliveries.

A study on improving GPS data matching to road networks.

Understanding smooth manifolds through triangulations and their properties in topology.

Exploring algorithms for key geometric optimization challenges and their applications.

Learn how graph embedding can improve analysis of complex networks.

A look at systoles and their calculation on combinatorial surfaces.

This article examines distance functions and their significance as topological Morse functions.

This paper examines effective exit procedures for Ethereum stakers in a Proof-of-Stake system.

A look into obliging games and how they function.

Learn new strategies for successful bidding in simultaneous ascending auctions.

A look into bidding mechanisms for goods and services.

This article discusses fair and efficient ways to allocate indivisible goods.

Exploring strategies for effective communication in product adoption.

Explore key strategies to succeed in Ranked Choice Voting and Single Transferable Voting.

This study investigates fair sharing of indivisible items to reduce envy and encourage honesty.

Learn about vector graphics formats and QAs for better understanding.

A new method improves kNN classification using gradients for better feature representation.

InVi allows easy addition of objects in videos using existing tools.

Combining audio and visual information enhances object recognition in videos.

A new method combines audio and textual cues for better object identification.

New approach generates high-quality human action videos with depth information.

A new method improves 360-degree image generation using regular NFoV images.

New dataset enhances object recognition through detailed part annotations.

This study examines AI's role in generating test questions for education.

Examining how economic factors influence film festival representation worldwide.

This article discusses using Reinforcement Learning to reduce bias in classification tasks.

Examining the risks and safety measures for LLM-powered robots.

A new method assesses misleading data associations in machine learning models.

An overview of practices undermining trust in machine learning model assessments.

Establishing a benchmark to evaluate fairness in graph learning methods.

Introducing a framework to help stakeholders agree on fairness in AI systems.

This article examines how data preparation affects machine learning in cybersecurity.

A novel approach for proving ownership of language models.

This article discusses safeguarding GNNs from data poisoning and backdoor attacks.

Exploring privacy risks in synthetic data and introducing the Data Plagiarism Index.

Analyzing effective clean-label backdoor attack techniques in machine learning.

Memory encryption offers a new way to keep cloud data safe and efficient.

Data augmentation boosts software vulnerability assessment accuracy amidst data imbalance.

A framework to identify misleading videos using traffic patterns.

Learn how vertex sparsification improves graph analysis and application.

Examining the challenges and solutions in data completion through graph theory.

A look into minimal transversals and their significance in hypergraphs.

Learn how low rank approximation simplifies large datasets for efficient data analysis.

New methods improve connectivity analysis for various embedded graphs.

Calibration ensures predictions align with actual outcomes across various fields.

A new method enhances text indexing performance across key dimensions.

Learn about speed-robust scheduling and its importance in task management.

This paper discusses how technology can enhance urban transport systems.

This paper discusses using language models to improve schema matching accuracy.

A new method enhances text indexing performance across key dimensions.

This framework enhances data science efficiency by converting Python code to SQL.

LITS enhances string indexing performance, overcoming limitations of traditional methods.

New tools allow intuitive data queries using natural language.

A new approach to analyzing unstructured data using advanced querying techniques.

A new indexing method boosts speed and reliability in transactional databases.

Reviewing key trends and collaborations in COVID-19 studies during 2020.

A system that improves information retrieval by clarifying user questions.

This study focuses on generating citations with appropriate length for better quality.

Gymnasium simplifies research in reinforcement learning with versatile environments and support tools.

A new system to simplify writing literature reviews for researchers.

HALvest combines citation networks and texts for enhanced research insights.

The article explores gender differences in patent success, focusing on innovation types.

Access over 2 billion unique citation links for open research.

A look into minimal transversals and their significance in hypergraphs.

Exploring the significance and applications of leaf powers in graph theory.

A deep dive into graceful coloring and its significance in graph theory.

Introducing MRBM for improved biological process representation.

A look at competition in prize collection through route planning.

This article explores the normality of Boolean functions with 8 variables.

A look into the properties and importance of matching covered graphs.

A new method for analyzing complex relationships in different structures.

Federated learning enhances medical imaging while protecting patient data.

A new framework aims to reduce performance issues for latency-critical services.

New counting techniques improve analysis of large genomic datasets.

A new method improves deep learning efficiency for edge devices.

A new approach to reduce tail latency in applications using a dynamic thread pool.

This paper analyzes the importance of auto-tuning for AMD GPUs in high-performance computing.

Octopus streamlines scientific processes through effective event-driven architecture.

A framework for assessing Federated Learning models in real-world scenarios.

Innovative methods are changing how we process and manage data efficiently.

Exploring the integration of quantum computing into machine learning for improved performance.

Exploring channel models for better 5G network planning in industrial environments.

New methods improve efficiency in deep neural networks, reducing energy use and increasing speed.

Research highlights methods to detect false information in automotive AI.

Exploring the role of neuromorphic systems in managing microgrid challenges.

Exploring Hyperledger Fabric's impact on electronic health records in South Africa.

Efficient scheduling of quantum circuits enhances hardware utilization and performance.

A look into obliging games and how they function.

Learn how reactive graphs adapt in response to user interactions.

A look into Omega-automata and their role in language studies.

New methods enhance the reachability of resource-aware systems.

Explore recent improvements in regex functionality and performance.

Exploring the patterns within language and sequences through palindromic constructs.

A novel approach to enhance query evaluation in dynamic data streams.

This article discusses the importance of regular grammars in graph structures.

A new approach enhances CSG modeling using fuzzy logic for smoother transitions.

A new method for fast and high-quality 3D scene editing using text prompts.

This article explores common issues in data visualization design and their impact.

A new model generating stylized human motions from text and style sequences.

A new method improves 3D human modeling from minimal photos.

Introducing a method to create high-quality street views over long distances.

A new method predicts product sales during busy events using proxy data.

A new method improves character animation using data-driven motion transfer.

Edge computing improves speed and efficiency in mobile applications using AI.

A new method using diffusion models improves chip placement efficiency and effectiveness.

A new method improves verification of processor security against speculative execution vulnerabilities.

MCU-MixQ enhances AI model performance on microcontrollers by optimizing resource use.

Trikarenos chip offers reliable performance in automotive and aerospace applications under high radiation.

CHOSEN framework enhances Vision Transformers for efficient FPGA use.

IICPilot simplifies backend design tasks for engineers using integrated circuits.

Graphitron simplifies FPGA-based graph processing with a user-friendly programming language.

A new scale helps measure user experiences in explainable AI systems.

Robots adapt their movement to follow social norms and enhance human interaction.

AeroHaptix enhances drone control through innovative tactile feedback.

Researchers improve speech decoding using EEG to help those with speech impairments.

Research shows robots can replicate human head movements for better interaction.

A study reveals effective stress management for parents using personalized mobile app recommendations.

This article explores common issues in data visualization design and their impact.

Introducing a framework to help stakeholders agree on fairness in AI systems.

Enhancing online user experiences through effective behavior analysis.

A new method enhances the retrieval of scientific documents.

A study on enhancing LLM accuracy through intent-driven retrieval methods.

ClaimCompare helps identify related patents affecting invention uniqueness.

This article discusses using neural networks to identify low-quality passages in search results.

A look into how generative IR systems can transform information seeking.

A new framework enhances the identification of proteins for biological research.

BootRet improves document retrieval accuracy with dynamic identifier updates.

An overview of completely decomposable codes and their applications in coding theory.

Exploring the integration of communication and sensing through active RIS and NOMA.

A new method assesses misleading data associations in machine learning models.

This article introduces minimax quantiles for better statistical estimates.

Combining radar and communication tech enhances user acquisition in wireless networks.

Exploring conditional mean estimation in quantized signal systems and its applications.

A simple look at how data storage systems work.

Two new estimators enhance accuracy in analyzing item response data.

A look into potential infinite models in type theory and their significance.

A method for ensuring software correctness through structured analysis.

Explore the role of proof systems in tense logics and their interrelation.

A look at strategic dominance and its impact on computational models.

A new approach to understanding how groups share and develop knowledge.

Discover how game comonads connect logical properties with mathematical structures.

Exploring the implications of the infinite pigeonhole principle in various fields.

Strategies for effective container image placement in cloud-edge networks.

Discover how synthetic data helps retailers protect customer privacy while gaining insights.

This article examines how data preparation affects machine learning in cybersecurity.

Research introduces Fusion-LLM to enhance prediction of hot electron behavior in fusion.

Learn about vector graphics formats and QAs for better understanding.

This article introduces ValueWalk, a method for improving computer learning from expert behavior.

A new method for better data adaptation in machine learning models.

A new approach improves decision-making in AI through causal relationships.

A new method improves kNN classification using gradients for better feature representation.

DASTAC enhances tensor computations by combining dense and sparse techniques for efficiency.

New approaches to tackle complex linear systems efficiently.

A new framework for optimizing complex geodesic convex problems in various fields.

HOBOTAN efficiently tackles complex higher-order optimization problems using advanced computing techniques.

Learn how Restricted Function Spaces improve PDE solutions in Firedrake.

A new tool for efficient structural optimization using automatic differentiation.

A new heuristic enhances solution finding in MILP problems.

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

This study examines how LLMs change information through interactions.

Researching how robots work together in shared spaces for safe interactions.

Exploring how we carry lessons from caregivers into our behaviors.

DataStorm aids decision-makers by simulating various scenarios during health crises.

New methods enhance how multiple robots explore unknown mazes.

POGEMA framework enhances multi-agent navigation for efficient obstacle avoidance.

Discover how TaskGen improves task management for programs and agents.

A new method for guiding robotic sheep using robotic dogs in challenging environments.

A look at methods to enhance image quality affected by haze.

The TGIF dataset aids in detecting advanced image manipulation techniques.

Learn how IP broadcasting and audio tagging reshape content delivery.

Integrating AI to enhance marketing strategies and campaign effectiveness.

X-Former improves how models combine image and text understanding.

Combatting misleading information through new methods and technologies.

A new system combining text and image analysis to fight misinformation.

New method RoE enhances multi-modal large language models' efficiency with dynamic routing.

Cellular automata improve network design through reliability and efficient communication.

This article explores how drones locate radio signals autonomously.

Teams of drones tackle wireless localization challenges in the AERPAW competition.

Science DMZs enhance data transfer for scientific research.

A framework for assessing Federated Learning models in real-world scenarios.

Strategies to improve IoT communication and reduce delays.

New methods improve wireless signal prediction and localization using neural networks.

Learn how NB-IoT connects multiple devices efficiently for various applications.

A method to improve communication and efficiency in power grids.

New methods improve genetic operators in evolutionary algorithms using deep learning.

Investigating how transformers learn and generalize from compositional tasks.

A framework to improve airport operations during emergencies while maintaining regular flights.

Introducing SpikeVoice, an energy-efficient system for high-quality text-to-speech synthesis.

A novel method to improve efficiency in spiking neural network training.

Techniques for optimizing RNNs, focusing on Mamba and quantization challenges.

Research shows how variability enhances ANN controllers for better performance in diverse environments.

New method improves solving PDEs without global mesh.

An overview of how quantum information is transmitted and manipulated.

Study of phase separation through advanced numerical techniques.

Researchers develop methods to simulate particle movement and interactions accurately.

New method improves mesh adaptation for solving complex equations.

Exploring the complexities of anomalous diffusion through advanced mathematical modeling.

A method enhances image clarity using advanced data processing techniques.

Science DMZs enhance data transfer for scientific research.

Exploring Rust's role in enhancing OS security and reliability.

MAARS framework enhances the security of timing-sensitive tasks in cyber-physical systems.

New framework for NPUs enhances resource sharing and reduces costs.

A novel method for analyzing cloud system performance through detailed simulations.

A new framework enhances task scheduling and timing in multi-threaded ROS 2 executors.

UBPF simplifies eBPF program management across diverse cloud environments.

CRISP safeguards cloud applications against rollback attacks, ensuring data integrity and security.

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

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.

ConvBench offers a new way to assess convolution algorithm performance effectively.

Learn effective methods to estimate the energy footprint of software.

A new approach to reduce tail latency in applications using a dynamic thread pool.

This paper analyzes the importance of auto-tuning for AMD GPUs in high-performance computing.

A new framework estimates how deep learning models perform on various GPUs.

Simopt enhances FPGA design by leveraging simulation data for improved performance.

RASM improves wireless communication efficiency and reliability through innovative techniques.

A new method estimates power use and heat in CNN accelerators for better performance.

A method for ensuring software correctness through structured analysis.

Haskelite aids newcomers in grasping Haskell through clear evaluation traces.

This framework enhances data science efficiency by converting Python code to SQL.

Security agencies urge software leaders to adopt safer programming practices.

Techniques for better maintenance and performance of static analysis tools.

DASTAC enhances tensor computations by combining dense and sparse techniques for efficiency.

Learn how reactive graphs adapt in response to user interactions.

A new approach to simplify handling custom scientific data formats.

Exploring DINO pre-training's impact on autonomous vehicle performance and adaptability.

New methods improve motion estimation using event camera technology.

Robots use affordable LED signals for efficient positioning and collaboration.

A new approach helps robots explore unknown areas more effectively.

New method improves drone coordination and efficiency in complex environments.

Robots adapt their movement to follow social norms and enhance human interaction.

Researchers propose a new method for robot locomotion focusing on foot placement.

Examining the risks and safety measures for LLM-powered robots.

A novel benchmark to evaluate graph learning methods tackling heterophily and heterogeneity.

Examining how economic factors influence film festival representation worldwide.

Examining the divide between elites and the masses in political discussions online.

Examining the fall of TerraUSD and its impact on the crypto market.

Examining the dynamics of AI-generated content on Civitai.

Combining snapshot and event-based models to improve temporal graph analysis.

Establishing a benchmark to evaluate fairness in graph learning methods.

Examining how users migrate between online communities and why.

Study develops models to predict software bugs in real-time for complex systems.

Data augmentation boosts software vulnerability assessment accuracy amidst data imbalance.

A new method enhances chatbot training through automated query generation.

CoDAT ensures code comments stay updated and relevant for developers.

Learn effective methods to estimate the energy footprint of software.

Many users are unaware of risks in smart contracts like USDT.

PSVAE offers a faster method for creating high-quality synthetic tabular data.

Strategies for effective container image placement in cloud-edge networks.

A new text-to-audio model using only public data.

Rasa dataset advances text-to-speech for Indian languages with neutral and expressive speech.

New methods improve machine understanding of human emotions in speech.

Simplifying AI tools can empower artists to enhance their creative expression.

MusiConGen enhances user control in text-to-music generation.

Researchers improve speech decoding using EEG to help those with speech impairments.

J-CHAT provides a large, open-source dataset for enhancing spoken dialogue systems.

New methods enable musicians to create instruments from sound prompts.

Research highlights methods to maintain dialogue consistency in restaurant-related conversations.

New method improves classification accuracy and adaptability through error detection.

Discovering connections between complex reflection groups and linear differential equations.

Recent advancements in Real Quantifier Elimination and CAD improve problem-solving efficiency in mathematics.

Learn how math aids in understanding chemical reactions and their interactions.

A look into polynomial handling with Lean's features and challenges.

A new approach to event prediction using dynamic causal rules and dual history contexts.

BMLP improves datalog query evaluation using boolean matrices for better performance.

Funplex improves efficiency in energy systems modeling and stakeholder engagement.

This article compares different ingestible antenna types for health monitoring in the GI tract.

New techniques enhance stability assessments in modern power systems.

A deep learning model improves energy load forecasting for microgrids.

A method to improve communication and efficiency in power grids.

This article presents a method to enhance safety and stability in automation systems.

Evaluating MPC and RL for efficient battery control.

Exploring how reward design impacts learning in reinforcement systems.