Computer Science

DeiSAM enhances image understanding by combining neural networks with logical reasoning.

This study examines contracts between principals and learning agents through repeated interactions.

Masked Matrix Multiplication improves efficiency in AI computations by utilizing data sparsity.

This article explores a method to improve code summarization using human attention insights.

A look at how information flow impacts various scientific fields.

This study examines AI's role in human debates through simulated interactions.

A study on using DistilBERT for effective phishing email detection.

Learn how dereverberation boosts speech recognition in noisy environments.

Research on blending different communication styles in AI text generation.

This framework improves annotation diversity while reducing costs in NLP tasks.

Examining how adversarial attacks impact LLM evaluations and academic integrity.

Enhance communication with LLMs by understanding errors and using clear prompts.

Organizing training data improves language model performance significantly.

This study examines biases in masked language models and their implications.

Innovative techniques improve the uniqueness of image captions using ground truth references.

This study examines AI's role in human debates through simulated interactions.

Exploring the relationship between group actions and orbit closures in algebraic geometry.

A look at how database resilience impacts data management and query processing.

Investigating the impact of measurements on quantum computing performance and efficiency.

Discover the significance of unitary property testing in quantum algorithms.

Exploring complexities of subpower membership problems in Mal'tsev algebras and potential solutions.

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.

Learn how substructure modes enhance antenna design and performance in various environments.

Researchers develop efficient models for plasma turbulence to improve fusion efficiency.

Innovative method for designing lightweight and strong triangular lattice structures.

Discover how PPIretrieval improves understanding of protein interactions.

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.

Learn about hyperbolic spaces and methods for finding nearby points efficiently.

Exploring optimal light angles to maximize illumination of flat shapes.

Voxelization simplifies the analysis of 3D images across various fields.

New algorithm improves efficiency in matching colored points in geometry.

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.

This study examines contracts between principals and learning agents through repeated interactions.

This article presents a framework for studying interactions between multiple populations over time.

Learn methods for fair sharing of items and chores in everyday life.

Examining peer selection methods in cryptocurrency networks for improved connectivity and stability.

A look into how sellers adjust prices based on buyers' willingness to pay.

Understanding how machines manage tasks for humans through alignment and capabilities.

Explore fair allocation of chores among agents with different responsibilities.

Investigating contracts and Agent performance in repeated hiring situations.

DeiSAM enhances image understanding by combining neural networks with logical reasoning.

Study shows self-supervised learning enhances breast ultrasound tumor identification.

A critical look at the true capabilities of Generative Adversarial Networks.

A new pipeline for effective data classification using topological analysis and machine learning.

Explore how GINNs reshape design through geometric principles and diverse solutions.

BEE-NET enhances emotion recognition by considering body language and environmental context.

Innovative techniques improve the uniqueness of image captions using ground truth references.

New dataset aims to enhance robot object manipulation using human-like movements.

This study examines face recognition systems' failures in identifying masked individuals, highlighting biases.

A study on human values through Reddit data analysis.

Examining how recommendation systems shape our media choices and experiences.

Using AI models to improve personal mobility planning in urban settings.

This study shows how AI can generate new psychology research ideas using causal graphs.

Understanding recovery strategies after disasters is crucial for communities.

Examining how aligning language models affects dialects, multilingualism, and global perspectives.

Explore how AI improves efficiency across healthcare, maintenance, and agriculture.

Learn about threat modeling and its importance in business security management.

Fake resumes manipulate job platforms, harming companies and seekers.

Assessing GNN effectiveness against security risks in integrated circuits.

A study on using DistilBERT for effective phishing email detection.

A new method to enhance efficiency in digital crime investigations.

Examining the challenges and solutions in Collaborative Machine Learning for better privacy and safety.

Exploring how generative AI can enhance communication security and address emerging threats.

A new watermarking method safeguards customized language models from unauthorized use.

Masked Matrix Multiplication improves efficiency in AI computations by utilizing data sparsity.

A study on the utility of vanilla spectral algorithms within the Stochastic Block Model.

Examining how recommendation systems balance user preferences and long-term goals.

An overview of approximating triangles in graphs within distributed networks.

A new method for routing colored points effectively without crossings.

New algorithms enhance genome assembly with efficient overlap representation.

Explore how genome changes impact evolution and diversity.

Exploring the complexities of maintaining community features while reducing network size.

A look at how database resilience impacts data management and query processing.

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.

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.

Voxelization simplifies the analysis of 3D images across various fields.

An overview of key problems in metric graphs and their significance.

Explore how directed graphs can be colored without creating cycles.

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.

Efficient counting solutions for modern applications using approximate methods.

An overview of approximating triangles in graphs within distributed networks.

An overview of strong linearizability and its significance in concurrent programming.

Evaluating state vector and tensor network methods for simulating quantum systems.

New methods enhance privacy and accuracy in secure computing environments.

Research shows how power capping GPUs can reduce energy use and temperatures.

A new framework enhances GNN performance using Processing-In-Memory systems.

FedUV improves model performance in federated learning on non-IID data.

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 new method enhances visualization efficiency in scientific data analysis.

Improving precision in hand-object tracking with GeneOH Diffusion.

Mochi improves collision detection speed and accuracy using ray tracing technology.

A new method for seamless multi-view image editing.

Voxelization simplifies the analysis of 3D images across various fields.

CharacterMixer allows seamless animation blending between different 3D character models.

idMotif aids researchers in visualizing and analyzing protein sequences for motif identification.

A new system to enhance ocean data analysis and visualization.

A novel cache attack exploits replacement policies to leak sensitive information.

Research shows how power capping GPUs can reduce energy use and temperatures.

Secure Scattered Memory protects data content and access patterns effectively.

A new framework enhances GNN performance using Processing-In-Memory systems.

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.

This article explores a method to improve code summarization using human attention insights.

Exploring the rise and impact of live-stream meditation practices.

This study examines AI's role in human debates through simulated interactions.

This study examines face recognition systems' failures in identifying masked individuals, highlighting biases.

A new method to create facial animations efficiently for customized characters using deep learning.

New methods aim to improve how users interact with data in everyday settings.

This study compares empathy levels in ChatGPT and human interactions.

This article examines how images impacted public opinion during the Russia-Ukraine conflict.

Examining user behavior's impact on recommendation system performance.

A new system enhances product recommendations using user data and expert insights.

A new model enhances video moment retrieval for better search results.

EventFormer improves search for moments in videos using event-focused methods.

Examining how recommendation systems shape our media choices and experiences.

A new method ensures fair exposure of items in recommendation systems.

A look at improving recommender systems for fairness and user satisfaction.

A new method for personalizing recommendations effectively and efficiently.

This article discusses improving mobile edge computing through joint optimization techniques.

A look at how information flow impacts various scientific fields.

A look at new methods improving wireless communication performance.

Learn to format your academic paper using IEEEtran templates.

Learn how pooled data testing is reshaping category identification across various fields.

New methods improve how models learn from data for better predictions.

New methods enhance privacy and accuracy in secure computing environments.

A new method enhances image quality during wireless transmission over noisy channels.

Examining forks in closure algebras and their significance in logic and reasoning.

A novel approach to enhance the behavior of generative agents using Temporal Stream Logic.

Research reveals new insights into solving complex computational problems efficiently.

A novel approach enhances efficiency in SMT solving for bit-vectors.

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.

A new system enables faster CNN training on devices with limited memory.

DeiSAM enhances image understanding by combining neural networks with logical reasoning.

This study examines contracts between principals and learning agents through repeated interactions.

A study on the utility of vanilla spectral algorithms within the Stochastic Block Model.

A critical look at the true capabilities of Generative Adversarial Networks.

Learn methods to identify important variables for better data analysis.

Examining how recommendation systems balance user preferences and long-term goals.

Explore how GINNs reshape design through geometric principles and diverse solutions.

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 model helps improve public health resource allocation through language processing.

Understanding how machines manage tasks for humans through alignment and capabilities.

New methods enhance how agents learn to cooperate and communicate effectively.

Language agents use graph models to enhance problem-solving abilities and collaboration.

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 article examines how images impacted public opinion during the Russia-Ukraine conflict.

A new method enhances image quality during wireless transmission over noisy channels.

MemeCraft creates engaging memes to promote social causes safely.

A new method enhances machine learning of audio-visual data.

Research reveals broader ways to deliver directions using spatial knowledge.

Combining audio, video, and text for better mental health assessments.

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.

A look at new methods improving wireless communication performance.

Examining peer selection methods in cryptocurrency networks for improved connectivity and stability.

Exploring the role and performance of NAT64 in IPv4 and IPv6 communication.

A new method speeds up data recovery by repairing multiple nodes at once.

A look into improving resource allocation in quantum computing networks.

A new method improves data handling in intelligent vehicles.

Discover how ESFL improves machine learning efficiency while protecting privacy.

Learn about different routing algorithms and their impact on data transmission.

A novel method to improve machine learning performance on high-dimensional data.

This article explores how language models can aid in writing academic meta-reviews.

A tool to create adaptable datasets for dynamic clustering scenarios.

This study investigates adaptive activation functions for improved model performance in low data scenarios.

A look into mixed-variable problems and techniques for effective analysis and algorithm selection.

A new method enhances speech recognition efficiency using low-rank adaptation.

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.

A novel approach minimizes wave reflections, improving accuracy in fluid dynamics modeling.

A new method combines communication and sensing for better channel estimation.

A new approach uses neural networks to speed up eigenvalue and eigenvector finding.

A novel method to improve machine learning performance on high-dimensional data.

Explore the role of Poincaré inequalities in numerical methods for partial differential equations.

A look at the evolution and applications of coupled cluster theory in quantum chemistry.

A new method improves dendritic growth tracking for better material performance.

Examining how deep learning enhances decision-making in uncertain environments.

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.

New methods improve performance predictions by focusing on memory dependencies.

Learn how to identify and fix performance bottlenecks in computing.

A new framework enhances GNN performance using Processing-In-Memory systems.

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.

Learn how MPST enhances communication processes in distributed systems.

A novel approach enhances efficiency in SMT solving for bit-vectors.

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.

New dataset aims to enhance robot object manipulation using human-like movements.

MoNet enhances robots' ability to learn and operate independently in real-world settings.

A flexible method in RL that adjusts control rates for better performance and efficiency.

A new method helps robots learn tasks using simulated data.

RobotScript enhances how robots execute tasks from natural language.

A new framework improves how robots learn from human actions.

Drones enhance fruit picking efficiency with advanced detection and automation.

A new method combines human video data with robot demonstrations for improved learning.

Automating taxonomy expansion using advanced language models for better knowledge organization.

A look at how hypergraphs improve our understanding of information flow in social networks.

A study on human values through Reddit data analysis.

This article examines how images impacted public opinion during the Russia-Ukraine conflict.

SPMiner uses machine learning for efficient subgraph pattern detection in complex networks.

Exploring the complexities of maintaining community features while reducing network size.

Examining the effects of machine learning on freedom of expression and fairness.

An analysis of how attention is captured and its impact on society.

This article explores a method to improve code summarization using human attention insights.

Using advanced AI to find and fix Android app compatibility issues.

This article examines the need for better software citation practices in academia.

This model addresses the unique challenges of managing changes in global software projects.

SeePrivacy aims to simplify how users interact with privacy policies.

A new approach to code completion enhances suggestions by considering entire code repositories.

An analysis of common issues in managing machine learning assets and proposed solutions.

Explore the data-centric approach to improving AI software systems.

Learn how dereverberation boosts speech recognition in noisy environments.

Coco-Nut offers diverse Japanese voice samples for advanced text-to-speech applications.

This study presents an attention-based model for estimating room volumes from audio recordings.

ASCA model enhances audio classification accuracy for small datasets.

MyST aims to improve children's science learning through virtual tutoring.

Study compares sound localization accuracy of four-channel and two-channel audio formats.

A look at M2MeT 2.0 and its impact on meeting transcription.

A new audio processing method enhances speaker anonymity while maintaining speech clarity.

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

Learn how to make parameters identifiable in ODE models.

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

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.

A two-stage process for accurate modeling of complex systems using neural networks.

A new method enhances energy consumption predictions using physical principles.

New methods improve efficiency and applications of wireless power transfer.

Addressing privacy concerns in systems that manage sensitive data.

This paper focuses on balancing security and energy efficiency in visible light communication systems.

New model helps self-driving cars merge safely into busy traffic.

A look at coordinating data centers with the power grid to save energy.