Computer Science

Researchers develop GECO dataset and GECOBench to tackle gender bias in AI.

New method enhances retrieval-augmented generation for complex question answering.

A new dual-transformer model enhances execution time predictions from source code analysis.

Explores the challenges of supervising advanced AI models with weaker counterparts.

This paper presents methods to detect unreliable websites using dredge words.

A study on the performance of smaller, open language models across various tasks.

Refiner improves language model responses by restructuring retrieved information.

A study on Copilot's ability to generate code across various programming languages.

STimage-1K4M combines detailed images and gene data to enhance disease research.

Researchers develop GECO dataset and GECOBench to tackle gender bias in AI.

New method enhances retrieval-augmented generation for complex question answering.

Explores the challenges of supervising advanced AI models with weaker counterparts.

This paper presents methods to detect unreliable websites using dredge words.

A study on the performance of smaller, open language models across various tasks.

Refiner improves language model responses by restructuring retrieved information.

This article reviews how LLMs perform in syllogistic reasoning tasks.

Ising machines aim for efficient solutions to complex problems with low energy use.

New research reveals efficient proof systems in bounded quantum storage environments.

Research showcases concatenated codes aimed at the Gilbert-Varshamov bound.

Learn how to manage data quality using SHACL and consistent query answering.

Explore how Fourier analysis enhances the understanding of sparse Boolean functions.

Explore the intricacies of reachability in temporal graphs and their unique challenges.

This article examines the challenges in finding specific subgraphs in graph theory.

Exploring the effects of adversarial influence on half-duplex communication efficiency.

A new method improves predictions of asset relationships for better investment strategies.

New strategies aim to improve liquidity in decentralized trading systems.

Tempora-Fusion enhances Time-Lock Puzzles for secure and verifiable computations.

A standardized platform for testing learning algorithms in boundary control of partial differential equations.

A new method predicts optimal mesh spacing for fluid simulations, enhancing efficiency.

Enhanced accuracy in simulating thin engineering structures like shells and beams.

Learn effective strategies for error management in co-simulation scenarios.

AFBench offers a vast dataset for improved airfoil design techniques.

A look into SCP's role in optimization and its applications.

New methods enhance rectangle coverage of orthogonal polygons, including boundary and interior challenges.

Examining sparse outerstring graphs reveals efficient solutions for complex problems.

Exploring how simple parts come together to form complex structures.

An overview of online sorting and the online Traveling Salesperson Problem.

A method for classifying red and blue points efficiently over time.

Exploring the crossing number problem in graphs and its real-world applications.

An exploration of how paths connect through systematic flips.

Addressing power distribution for robust cooperative systems.

A look into game theory and strategy evolution over time.

This article details how decision-makers can effectively separate exploration from exploitation.

Effective resource management is crucial for winning elections.

A look into how delegation influences decision-making between principals and agents.

This article explores strategy development using counting steps in graph-based games.

New algorithms improve decision-making in online knapsack problem using succinct predictions.

Exploring how game theory can help manage disease spread and protection measures.

STimage-1K4M combines detailed images and gene data to enhance disease research.

Discover how virtual heart models are changing patient care.

Introducing a method for fast video classifications based on early frame analysis.

PartCLIPSeg improves part segmentation in computer vision for better object recognition.

GUICourse aims to improve interaction with digital interfaces through targeted datasets for GUI agents.

A new method improves 3D object detection using LiDAR data.

VideoVista offers a comprehensive evaluation for video question-answering models.

MINT-1T is the largest open-source dataset for training multimodal models.

Researchers develop GECO dataset and GECOBench to tackle gender bias in AI.

This paper presents methods to detect unreliable websites using dredge words.

This article examines the true meaning of democratization in AI.

This study analyzes how language influences cultural values in large models.

Investigating social annotation's impact on programming students' engagement and performance.

Examining who is responsible for outcomes influenced by algorithms in decision-making.

This study analyzes the roles of sources in Twitter's Community Notes.

UNCTAD creates an open-source RAG tool for better data access and efficiency.

Learn how backdoor attacks threaten machine learning systems and methods to defend against them.

A method to maintain privacy while sharing urban traffic statistics.

New methods enhance predictions by focusing on code functionality instead of variable names.

A framework to improve APT detection while protecting privacy.

LDMeta enhances privacy and efficiency in distributed learning methods.

The study examines how influencer ads shape VPN perceptions and online safety beliefs.

Exploring the safety challenges posed by adversarial attacks on multimodal agents.

LLMs assist human raters in effectively identifying harmful online content.

Explore how model order enhances diagram layouts and captures user intent.

Research on Glauber dynamics sheds light on community detection challenges.

Learn how edit distance measures the similarity between strings efficiently.

A look into techniques for estimating cuts in directed graphs.

A look into SCP's role in optimization and its applications.

A new method for estimating edge density in random graphs while ensuring privacy.

A novel method uses random walks for efficient graph clustering.

Barter exchanges enable trading goods without money in today's online world.

A new system allows data scientists to easily revert session states.

Examining the advancements in GPU database technology and their performance.

Aurora improves query rewriting using Equality Saturation and Reinforcement Learning.

Exploring techniques for privacy-preserving data analysis while ensuring accuracy.

New techniques enhance privacy and security in database queries and transactions.

Using property graphs to simplify the analysis of complex laws.

New methods reduce temporary results in complex aggregate queries.

SimClone detects data clones in tabular datasets without relying on structural features.

A look at how databases categorize published research materials.

A study on how new ideas transform astronomical research through technology and collaboration.

A new system simplifies citation management for preprints, enhancing visibility and collaboration.

A new dataset sheds light on historical newspapers from Latin America.

Examining how the disruption index may misrepresent innovation trends.

A new framework aims to automate paper reviews for better quality feedback.

GraphMuse streamlines the analysis of symbolic music data with advanced machine learning techniques.

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

Explore the basics and significance of error-correcting codes in data transmission.

A look into maximal cliques and minimal transversals in graphs.

A look into how polyominoes interact and develop through various processes.

Explore how degree sequences affect random graph characteristics.

A new approach to solve the Maximum Independent Set problem without training data.

This study enhances mobile agent efficiency in locating hidden targets.

Study reveals methods for efficient target search by mobile agents in circular areas.

Learn about planar graphs and their significance in various fields.

Tracemax offers improved packet tracing for better DDoS attack defense.

Replay clocks enhance analysis and debugging in distributed systems.

LDMeta enhances privacy and efficiency in distributed learning methods.

This article explores methods to enhance the reliability of research artifacts in computing.

New method combines federated learning with diffusion models for privacy-focused image generation.

A new method improves efficiency in quantum circuit design.

A method to enhance data privacy in federated learning by removing specific data influences.

Techniques to speed up checkpoint creation for deep learning models.

Exploring quantum methods for efficient biclustering in complex datasets.

A new network model enhances drone communication in crisis situations.

Identifying flaws in smart contracts to enhance security and reduce risk.

A look into SPIMs and their potential in optimization problems.

EON-1 chip offers efficient real-time AI learning for battery-powered devices.

Learn how Ising models simulate logic gates and address complex problems in technology.

A look into how Ising machines enhance optimization techniques.

New Ising machine model improves optimization problem solving and computational speed.

Discover the role and potential of reversible two-way transducers in data transformation.

Explore how to measure bandwidth in meager timed automata models.

Explore the complexities of counting in indexed languages and the role of slices.

Learn about GOCTA and their role in processing tree structures.

Learn about PEGs, their history, structure, and applications in programming and parsing.

A look at positive logic and monotonicity in first-order and linear temporal logic.

This article explores strategy development using counting steps in graph-based games.

A look into the importance of verifying CCF for secure cloud applications.

CMTNet enhances hyperspectral imaging technology for better crop identification.

Improving 3DGS for efficient image synthesis on limited resource devices.

Use simple language to create effective visualizations for complex data.

VR technology enhances training for neonatal resuscitation, improving healthcare skills and confidence.

A new method improves speed and efficiency in rendering moving objects and edited materials.

A new method to digitize soft objects without damage using wearable technology.

This article examines how chatbot personality affects educational interactions.

Introducing a method to create realistic 3D scenes for virtual reality and design.

A new method improves efficiency in quantum circuit design.

ROVER simplifies RTL design by automating complex optimization processes.

Falcon and DST improve speed and efficiency in vector search systems.

A new system uses DRAM caching to enhance memory access efficiency for cloud applications.

Edge computing and Near-Memory Computing are changing data processing dynamics.

A new method improves memory access for dynamic graph applications, boosting performance and efficiency.

Constable enhances processor efficiency by eliminating unnecessary load instruction executions.

Samsara improves reliability and security in hardware accelerators, ensuring efficient computing.

GUICourse aims to improve interaction with digital interfaces through targeted datasets for GUI agents.

Exploring tech solutions to enhance group dance learning and feedback.

DrugWatch helps users find drug safety information easily.

The study examines how influencer ads shape VPN perceptions and online safety beliefs.

Examining collaboration in the DrawBot open-source hardware initiative.

Examining how prompts affect reasoning in large language models.

A tool measures how helpful AI explanations are for decision-making.

A critical look at standard datasets in machine learning.

A new method enhances recommendation systems while protecting user privacy.

Recommender systems influence user experiences but face key concerns regarding fairness and privacy.

A new dataset improves code search efficiency for developers using natural language queries.

DrugWatch helps users find drug safety information easily.

Long-context language models streamline complex tasks and improve interaction with AI.

A new model enhances news article suggestions across multiple languages.

PromptDSI improves document retrieval by efficiently managing new and existing information.

Gaze detection helps understand user behavior and improve digital experiences.

Learn strategies for reducing latency in distributed data storage systems.

A method to maintain privacy while sharing urban traffic statistics.

Exploring place cells and their interactions may enhance navigation systems and AI.

Methods for efficient message sharing among users with varying information levels.

BD-RIS improves wireless signal quality and efficiency for modern communication systems.

Research explores how multiple views enhance message clarity in communication.

Explore the basics and significance of error-correcting codes in data transmission.

Improving communication efficiency in distributed computing systems is key to better performance.

New approaches improve the resilience of RL controllers in uncertain environments.

This paper discusses a model for fault-tolerant distributed systems focused on weak recovery.

Explore the complexities of counting in indexed languages and the role of slices.

Combining fuzzy logic with causal inference for better real-world analysis.

An overview of a substitution algorithm in Multimode Type Theory.

A look at how ERCL improves SAT solver efficiency.

New methods reveal decidability in quasi-dense logics using database theory.

This article presents a fresh perspective on analyzing Markov chains through distribution transformers.

Researchers develop GECO dataset and GECOBench to tackle gender bias in AI.

Introducing a method for fast video classifications based on early frame analysis.

A new dual-transformer model enhances execution time predictions from source code analysis.

This paper presents methods to detect unreliable websites using dredge words.

A novel approach helps systems recognize both known and new categories.

A study on the performance of smaller, open language models across various tasks.

COMPASS method addresses noise issues in molecular docking, enhancing drug discovery.

A new AI-based method improves efficiency in Full Waveform Inversion.

A look at modern methods in engineering design for efficiency and performance.

Hiperwalk aids researchers in simulating quantum walks on complex graphs, enhancing quantum studies.

A user-friendly tool for building Petri Nets and simulating complex systems.

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.

Addressing power distribution for robust cooperative systems.

New methods improve communication and accuracy in decentralized learning systems.

Air taxis could transform urban transport by avoiding road traffic and offering quick rides.

This article explores how adversaries impact teamwork among language models.

A new algorithm optimizes multi-agent systems while protecting user privacy.

A new framework enhances learning efficiency in multi-agent systems through innovative world modeling.

INDICT enhances code safety and helpfulness using dual critique analysis.

Examining the importance of fairness in sharing information across diverse groups.

This paper presents a system to create visuals that respond to music.

A new method improves image and text retrieval across multiple languages.

Discover how diffusion models change video editing through AI technology.

Research shows text-image inconsistency rises with post popularity on social media.

New dataset improves audio generation from detailed text descriptions.

A new tool for testing language models in noisy environments.

A new method for creating cleaner reference meshes from dynamic 3D shapes.

A new method reduces the need for labeled data in computer vision tasks.

Xeoverse accelerates LEO satellite network research with real-time simulations.

Tracemax offers improved packet tracing for better DDoS attack defense.

A look at efficient resource allocation in quantum networks and the role of EGS.

Cybersecurity evolves with zero-trust networking to combat rising threats.

Exploring how Integrated Sensing and Communication optimizes performance for wireless devices.

A new protocol combines transport and encryption for safe, efficient data movement.

A new network model enhances drone communication in crisis situations.

This article discusses application performance issues in Dragonfly+ network systems.

Exploring place cells and their interactions may enhance navigation systems and AI.

Research reveals how noise aids the brain's statistical learning process.

Exploring the role of transformers in predicting sequential data outcomes.

An exploration of neural networks and their dynamic extensions, neural ODEs.

Examining bistable networks and their potential applications in various fields.

LLM2FEA combines generative AI and evolutionary algorithms for innovative design solutions.

A new benchmarking suite improves compiler autotuning efficiency and effectiveness.

Discover how MRRs enhance efficiency in reservoir computing tasks.

A study on statistical errors in Langevin dynamics using various numerical integrators.

Learn how multilevel methods improve error estimation in complex problem solving.

Cylindrical shearlets enhance image clarity in dynamic object scans.

A novel approach for efficient simulation of quasi-2D Coulomb systems is introduced.

This article discusses the extension of Kondratiev spaces to include fractional smoothness.

SPOD enhances modeling efficiency by accurately capturing system behavior over time and space.

Examining the p-Laplacian's role in data analysis and complex systems.

This article presents a method to reduce computational costs in estimating unknown quantities.

A study on memory allocators and their impact on embedded system performance.

A new system enhances application performance and energy efficiency in heterogeneous processors.

Optimizing memory management for better performance in embedded systems.

A new model that helps cloud applications use serverless resources effectively.

A new system improves cloud performance and reduces costs by combining VMs and FaaS.

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.

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 look at efficient resource allocation in quantum networks and the role of EGS.

Techniques to speed up checkpoint creation for deep learning models.

Enhancing response times for large language models using a new adaptive approach.

CEBench helps businesses and researchers assess LLMs while managing costs and performance.

A look at how autotuning enhances mixed-kernel SVMs for data analysis.

LLload makes it easier to track job performance on HPC systems.

MIREncoder improves code optimization using multi-modal representation and machine learning.

SPOGA accelerates deep neural networks with improved speed and energy efficiency.

Explore how model order enhances diagram layouts and captures user intent.

This article explores methods to calculate ground state energy using quantum programming.

APPL streamlines development with large language models using an intuitive, Python-like syntax.

New methods enhance uncomputation efficiency in complex quantum programs.

Learn how probabilistic programming helps analyze uncertainty in data.

A new modular approach enhances variational inference in probabilistic programming languages.

INDICT enhances code safety and helpfulness using dual critique analysis.

Enhancing logic programming performance by analyzing variable sharing and linearity.

New approaches improve the resilience of RL controllers in uncertain environments.

A student project explores a new landing method for space missions using autorotation.

This study evaluates how HD map methods perform under adverse conditions.

Introducing the Tactile SoftHand-A, a cost-effective robotic hand design.

Two robots improve maze navigation through shared learning experiences while maintaining data privacy.

New AI program beats human drivers using only internal car data.

A new method boosts planning speed and efficiency using existing knowledge.

LLM-A* merges traditional algorithms with language models for efficient path planning.

This study examines how social networks shape influence and spread information.

This paper presents methods to detect unreliable websites using dredge words.

This research investigates the role of side information in identifying community structures.

This study analyzes the roles of sources in Twitter's Community Notes.

A new framework improves understanding of user engagement and relationships in multiplex networks.

A deep dive into the political leanings of podcasts on Rumble and YouTube.

Research shows local awareness plays a key role in managing disease outbreaks.

This paper examines how PageRank adapts to the dynamics of temporal networks.

A new dual-transformer model enhances execution time predictions from source code analysis.

A study on Copilot's ability to generate code across various programming languages.

This article explores methods to calculate ground state energy using quantum programming.

A new dataset improves code search efficiency for developers using natural language queries.

Investigating social annotation's impact on programming students' engagement and performance.

New methods enhance predictions by focusing on code functionality instead of variable names.

A tool using AI helps identify key configuration settings for software performance.

A look into scenario-based testing for evaluating code generation models.

A new method for understanding how audio models make predictions.

Introducing spatial voice conversion to enhance audio realism and immersion.

Research explores how speech analysis can predict suicide risk, considering gender differences.

This paper presents a system to create visuals that respond to music.

A new system helps robots learn tasks using audio from real-life demonstrations.

New methods improve accuracy in recognizing overlapping sounds across diverse audio sources.

A new method combines acoustic features and confidence scores for better error correction.

SecureSpectra offers a new way to safeguard audio identity against deepfake threats.

A fresh approach to AI combines language models with symbolic programs for better interpretability.

This article presents a method to certify feasibility in semidefinite programming.

New AI models enhance reasoning skills using visual puzzles.

Examining the security of SHA-256 and recent collision finding techniques.

New hybrid methods improve efficiency in integer factorization for cryptography.

Differentiable Tree Experts improves tree operations in artificial intelligence.

A look into techniques for counting regular graphs and their applications.

FEAS enhances automated theorem proving for functional equations using new strategies.

Optimizing PEM electrolyzers for efficient hydrogen production and cost management.

New approaches improve the resilience of RL controllers in uncertain environments.

New guidance scheme improves fuel efficiency in small satellite maneuvers.

A study on predicting electricity grid failures through deep reinforcement learning analysis.

Using topological data analysis for better monitoring of wind turbines.

Discovering efficient methods for semiconductor model parameter extraction.