Computer Science

A study comparing Instance and Neuron Attribution methods in language models.

Exploring the integration of LLMs with reinforcement learning for improved problem-solving.

New methods enhance training in decentralized federated learning systems.

A new optimizer enhances communication in distributed AI training.

New benchmarks reveal challenges for MLLMs in real-world tasks with long contexts.

Med-Gemini enhances healthcare with advanced AI for diagnostics and patient interaction.

DragPoser advances motion capture with fewer sensors while maintaining high-quality animations.

Learn how diffusion models enhance time series data analysis across various fields.

A study comparing Instance and Neuron Attribution methods in language models.

Exploring the integration of LLMs with reinforcement learning for improved problem-solving.

This study investigates how language models respond to changing word meanings.

Explore how GPT-4 improves analytic scoring for second language writing.

New benchmarks reveal challenges for MLLMs in real-world tasks with long contexts.

Med-Gemini enhances healthcare with advanced AI for diagnostics and patient interaction.

New tools enhance voice recording editing and production quality.

Study reveals insights on the balance between visual and textual inputs in VLMs.

Exploring multiple longest common subsequences with varying levels of diversity.

Examining how noise affects quantum computing and the importance of fidelity standards.

Exploring domination sets in different types of graphs and their complexities.

Explore key concepts in graph theory and their practical applications.

Understanding phylogenetic diversity aids in biodiversity conservation efforts.

A look into the relationship between proof complexity and circuit complexity.

Examining graph coloring, especially in bounded-diameter graphs and odd cycles.

A study on how traits spread in structured populations considering environmental factors.

Learn how Matern-type random fields improve design reliability and performance.

This article discusses using deep learning to predict airflow over airplane wings.

Exploring how ions move and affect cell functions.

New methods improve efficiency in simulating complex materials.

A new method enhances machine learning models for transport phenomena predictions.

A new method improves modeling for active metamaterials with pneumatic actuation.

A new approach uses AI to streamline tagging of financial reports.

Discover NEON, a method improving uncertainty quantification in machine learning.

A novel approach using Voronoi diagrams enhances cell simulation accuracy and efficiency.

A new method improves distance calculations on triangle meshes for various applications.

Introducing a framework for solving complex packing challenges in various fields.

A new method simplifies the analysis of complex persistence modules.

Analyzing connections in bi-colored lattices through minimum spanning trees.

Explore the structures and relationships defined by chirotopes in mathematics.

Explore how persistent homology aids in understanding complex data structures.

A method to convert TPMS models into usable STEP files for design software.

Learn how to create reliable programs that react to their environment.

Learn how e-commerce platforms can tailor offerings to meet consumer needs.

A framework for assessing AI strategies in competitive and cooperative environments.

A framework to ensure trustworthy devices in federated learning for urban data privacy.

How candidate behavior impacts decision-making algorithms over time.

Introducing Q-value Shaping to improve cooperation among autonomous agents.

A look into complex player strategies and objectives in concurrent stochastic games.

Exploring strategy and complexity in discounted-sum games between two players.

FOOL method improves satellite data transfer by reducing size while preserving quality.

A new framework for improving remote sensing data analysis using metadata.

A new method enhances low-dose CT scans by reducing noise effectively.

New benchmarks reveal challenges for MLLMs in real-world tasks with long contexts.

A model adapts to various image tasks using minimal examples.

New method enhances shadow removal in images through deep learning and transformers.

Med-Gemini enhances healthcare with advanced AI for diagnostics and patient interaction.

DragPoser advances motion capture with fewer sensors while maintaining high-quality animations.

A look at the importance of reproducibility in AI and ML studies.

How ChatGPT assists students in mastering data visualization techniques.

New dataset offers insights into births while safeguarding personal information.

A new framework to assess predictive model performance amidst uncertainties.

Guidelines for researchers to use generative AI ethically and effectively.

Exploring social workers' views on AI integration in their field.

A model for better understanding palm oil's impact on forests and sustainability.

Examining the risks and governance of Claude, an AI chatbot by Anthropic.

Learn how to identify eclipse attacks using statistical methods in blockchain networks.

A look at the security threats posed by instruction-tuned Code LLMs.

TRM analyzes malware interactions through real-time memory traces for enhanced detection.

New dataset offers insights into births while safeguarding personal information.

LLMs offer new insights into automated malware deobfuscation.

A look into focused backdoor attacks within federated machine learning systems.

Analyzing the impact of DDoS and F-AP attacks on smart healthcare devices.

Delm enhances app testing efficiency using deep links for better coverage and reliability.

New dataset offers insights into births while safeguarding personal information.

Study reveals methods for inferring data despite malicious corruption challenges.

Exploring multiple longest common subsequences with varying levels of diversity.

Our research reveals that high-temperature Gibbs states show no entanglement.

This study examines the challenges of finding path covers in dynamic graph structures.

Explore how switching alters graph structures and their implications across various fields.

Exploring domination sets in different types of graphs and their complexities.

Explore key concepts in graph theory and their practical applications.

Innovative strategies improve data retrieval efficiency in database systems.

New method improves explanations for graph neural networks with robust counterfactual witnesses.

Integrating deep learning techniques directly into relational databases for enhanced data analysis.

A new system improves real-time updates and reading of graph data.

CityJSONSeq streamlines the handling of large city datasets efficiently.

Improving vector search efficiency through innovative index structures and memory solutions.

This article explores learned indexes that improve database search speed using machine learning.

Learn how to create queries that distinguish data effectively.

This study uses computational methods to analyze running titles in historical texts.

A new app helps those with epilepsy track and manage their health effectively.

A method to create machine-readable data before publication to improve research efficiency.

A new web application aids reintegration for those released from prison.

Study assesses representation of biomedical topics in science maps.

Exploring the role of microservices in knowledge discovery for patent applications.

Discover how automated methods enhance the identification of valuable datasets from government portals.

A look at how databases categorize published research materials.

This study examines the challenges of finding path covers in dynamic graph structures.

Explore key concepts in graph theory and their practical applications.

A study of how particles spread over time on complete graphs.

A look at how the arithmetic-geometric index aids in chemical analysis.

New principles aim to create fairer apportionment methods in political systems.

Exploring the complexities of spin glasses and their applications in various fields.

A guide to degree sequences and outerplanar graphs.

An overview of distributed coloring, focusing on list defective coloring techniques.

FOOL method improves satellite data transfer by reducing size while preserving quality.

New methods enhance training in decentralized federated learning systems.

A new optimizer enhances communication in distributed AI training.

Discover GRAWA, a method improving distributed training for deep learning models.

A new method improves community detection in dynamic networks.

New techniques reduce memory access and boost performance in deep learning models.

A look at new ways to measure performance for low-latency services.

This study analyzes how agents interact and reach consensus using unordered data protocols.

Exploring how SSI can enhance privacy and security in the Internet of Things.

A new method enhances Ising machines' performance in solving knapsack challenges.

New techniques improve learning in spiking neural networks while reducing memory needs.

This method enhances clustering by using Godel numbering and cellular automata.

A new method improves real-time error correction in quantum computing.

LEO satellite networks are shaping modern communication through innovative association schemes.

A new photonic reservoir computer enhances predictions using optical fibers and Rayleigh backscattering.

Learn how particles pass through barriers in quantum physics.

Exploring multiple longest common subsequences with varying levels of diversity.

A method to translate linear temporal logic with past operators into deterministic Rabin automata.

This method enhances clustering by using Godel numbering and cellular automata.

Exploring new methods in managing complex systems with forcible events.

DPSynth uses dynamic programming for efficient boolean function synthesis.

A new method enhances the reliability of GCNs against adversarial changes.

A new approach to model timing in complex systems.

Exploring RNCs and their role in language processing through identity elements.

A novel approach using Voronoi diagrams enhances cell simulation accuracy and efficiency.

A new method improves distance calculations on triangle meshes for various applications.

DragPoser advances motion capture with fewer sensors while maintaining high-quality animations.

Learn how GPU-friendly methods enhance stroke rendering in vector graphics.

New components improve memory efficiency and processing speed in 3D generation.

This article explores medial parametrization, a technique for describing complex flat shapes.

New models enhance duet interactions in virtual dance performances.

A new approach improves diagnosis and treatment decisions for carotid stenosis.

New techniques reduce memory access and boost performance in deep learning models.

A new method enhances memory and processing for deep learning models on MCUs.

A new fabric technology enhances virtual touch experiences for users.

A method to automate and optimize instruction selection for various computer architectures.

Study reveals how standard DRAM chips can perform complex calculations efficiently.

A new method improves real-time error correction in quantum computing.

CiMLoop enhances efficiency in deep neural networks through innovative modeling.

Learn how the Mess framework benchmarks and simulates memory systems for better performance.

How ChatGPT assists students in mastering data visualization techniques.

This article discusses how AI models can enhance tutor training through better feedback.

A new platform leverages AI for developing emotional intelligence and teamwork.

Aptly allows anyone to create mobile apps using simple language, breaking barriers in app development.

Examining how human examples impact machine learning for programming tasks.

Exploring how trust develops in human-agent interactions over time.

Research explores how robots can express their states using audio signals.

Research shows how GPT-4 can enhance feedback for new tutors.

A new method to correct for bias in recommendation systems.

This article discusses a new framework for improving information retrieval in language models.

Adapt-LLM improves LLM performance by balancing internal knowledge and external information.

A fresh approach to enhance the quality of generated reports.

A look at how irrelevant text impacts modern ranking systems.

A new system predicts actions of pedestrians and drivers, enhancing road safety.

SoMeR combines diverse user data for better online behavior insights.

Analyzing public views on wildlife is key for conservation efforts worldwide.

New methods improve understanding of Poisson processes and their applications.

A look into fractal trees, their length functions, and complexity.

A look at the Hoeffding test and its performance in hypothesis testing.

New techniques improve communication by detecting preamble collisions effectively.

Exploring NOMA and dynamic metasurface antennas for improved connectivity.

Balancing quality and size in image and audio compression.

Convex sets play a crucial role in various mathematical fields and applications.

Discover NEON, a method improving uncertainty quantification in machine learning.

A look into TopKAT and its role in analyzing computer programs.

Exploring a framework connecting coalgebra, modal logics, and fixpoint logics.

A look at strong and weak depth in sequences and their implications.

Learn how to determine when programs that use randomness will stop running.

A look into how we compare and analyze system behaviors using various techniques.

This study analyzes how agents interact and reach consensus using unordered data protocols.

Explore the role of bisimulations in simplifying complex models across various fields.

Exploring total division in mathematical structures and its implications.

FOOL method improves satellite data transfer by reducing size while preserving quality.

Exploring how transfer learning impacts model effectiveness across different data contexts.

A new model, MolCRAFT, improves drug design by generating realistic molecular structures.

New methods enhance safety by measuring confidence in self-driving vehicle decisions.

A new method enhances low-dose CT scans by reducing noise effectively.

New methods enhance training in decentralized federated learning systems.

A new optimizer enhances communication in distributed AI training.

New benchmarks reveal challenges for MLLMs in real-world tasks with long contexts.

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.

Discover how LaSDI transforms complex simulations into efficient models.

Exploring PETScML's impact on scientific machine learning through second-order methods.

A novel technique accelerates the analysis of piecewise constant functions.

Research shows effective use of high-level languages for large integer operations on GPUs.

New algorithms enhance feature selection speed and accuracy in statistical models.

A framework for assessing AI strategies in competitive and cooperative environments.

This study analyzes how agents interact and reach consensus using unordered data protocols.

MESA enhances exploration strategies for agents working together in various environments.

A new method improves machine learning training efficiency while protecting data privacy.

WorkBench tests agents' ability to perform realistic office tasks with a unique evaluation method.

A look at how feelings shape political divides and decision-making.

A look into how agents handle deception and protect themselves.

New algorithms tackle challenges in distributed optimization with unreliable agents.

Research introduces innovative techniques to improve detection of deepfake videos.

A new dataset improves how robots interpret real-world environments.

UniAV combines action localization, sound detection, and audio-visual event localization for better video understanding.

A new method improves object detection performance using adaptive queries.

Exploring human ability to identify deepfake videos compared to AI detection.

Exploring how AI is transforming video production processes for filmmakers.

PEAVS analyzes how well audio and video work together for better viewer experiences.

CinePile challenges long video comprehension with 305,000 diverse questions.

FOOL method improves satellite data transfer by reducing size while preserving quality.

This article discusses strategies for reducing data traffic in IoT communication.

AutoNet automates cloud network policies, reducing errors and enhancing efficiency.

A new method enhances IoT data sharing while ensuring privacy and energy efficiency.

A new framework improves fog federation stability and data privacy.

Analyzing privacy challenges in mission-critical communication within 5G technology frameworks.

Learn how Zero Trust enhances cloud security for businesses.

A new method reduces message collisions between connected vehicles.

New methods enhance visual scene analysis using efficient coding techniques.

A new approach to enhance deep learning models against adversarial attacks.

A new system predicts actions of pedestrians and drivers, enhancing road safety.

Exploring how neuromorphic computing is transforming visual data processing.

New methods leverage vector symbolic architectures for efficient neural network programming.

Study highlights the significance of temporal parameters in neural network performance.

A look into multi-objective optimization using evolutionary algorithms.

A novel framework improving predictions using cognitive principles and precision weighting.

New model improves gas flow simulations in complex conditions.

A new method enhances the analysis of surface roughness using Fourier-Bessel functions.

A new method enhances atmospheric modeling efficiency and accuracy using mixed finite element methods.

A study on geodesics, injectivity radius, and cut points within the Stiefel manifold.

A new method improves data transfer in computer models of complex systems.

Learn how Matern-type random fields improve design reliability and performance.

This study enhances fluid simulations using a generative adversarial network within multigrid methods.

A new method combines neural networks and gradient-free optimization for efficient design.

Berrify strengthens BPF security against Spectre vulnerabilities without sacrificing performance.

A new approach to caching offers better performance in dynamic environments.

A new technique for dynamic memory allocation improves efficiency in large language models.

Unikernels offer efficient solutions for Internet measurement, requiring fewer resources and quicker deployment.

A new system improves GPU checkpointing and restoration for enhanced performance.

ROSfs transforms data sharing among robots for enhanced teamwork.

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

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

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 techniques reduce memory access and boost performance in deep learning models.

A new method improves machine learning training efficiency while protecting data privacy.

A look into network slicing and resource management in modern mobile networks.

A new system improves efficiency in analyzing graph data patterns.

New methods improve QR factorization for large, ill-conditioned matrices.

A look into how queuing systems can improve efficiency.

New enhancements to BIT1 improve plasma simulation performance using advanced computing techniques.

CXL memory boosts capacity and efficiency for demanding applications.

A look into TopKAT and its role in analyzing computer programs.

Aptly allows anyone to create mobile apps using simple language, breaking barriers in app development.

Learn how MLIR's Transform dialect enhances computation efficiency and code clarity.

AI is transforming the way we write and prove code correctness.

A look at the compactness lemma and its role in recursive programming functions.

Explore the concept of representing functions through processes in computer science.

A fresh method for creating efficient gaming strategies through program behaviors.

A new method enhances the efficiency of deep neural networks through automated optimization.

New methods enhance safety by measuring confidence in self-driving vehicle decisions.

SUGAR simplifies geometric algebra for engineers and mathematicians using Matlab.

A novel method enhances human feedback efficiency in RL using low-quality data.

This article outlines a method for robots to optimize paths considering time and energy.

This method improves the safety of self-driving cars through enhanced detection techniques.

DiffuseLoco improves robot walking, enabling quick adaptation using past experiences.

Research explores how robots can express their states using audio signals.

New models improve aerial robots' handling of flexible cables.

This article examines dynamic networks and their growth mechanisms using advanced methods.

A new method improves community detection in dynamic networks.

A look at how feelings shape political divides and decision-making.

Learn effective tactics for new products to thrive amid strong competition.

SoMeR combines diverse user data for better online behavior insights.

Discover how new models improve predictions in mergers and acquisitions.

A/B testing shapes how content is shared and perceived online.

A method to identify and explain fake news on social media platforms.

Assessing image translation techniques in self-driving car testing.

New methods enhance safety by measuring confidence in self-driving vehicle decisions.

This article explores the bias in code generation models across different languages.

Assessing the reliability of AI-produced summaries for improved software maintenance.

Delm enhances app testing efficiency using deep links for better coverage and reliability.

An overview of code hallucinations in LLMs and their impact on software development.

New metrics aim to improve code security and correctness with LLMs.

A study on the use of Bazel for faster CI builds.

New tools enhance voice recording editing and production quality.

New models enhance duet interactions in virtual dance performances.

Discover how generative equalization breathes new life into old music recordings.

Research identifies and classifies Sorani Kurdish dialects using extensive audio recordings.

A new method improves sound processing through automatic tuning of Feedback Delay Networks.

A new method improves speech evaluation using entire recordings.

A new approach to evaluate how well music follows audio prompts.

A new dataset improves how robots interpret real-world environments.

Exploring total division in mathematical structures and its implications.

A new method enhances DAE regularization techniques for better efficiency and accuracy.

Introducing new methods to improve optical flow estimation using event-based cameras.

A new approach enhances the evaluation of dynamic relationships using Petri nets.

This paper presents a new sub-polyhedral domain for optimizing machine learning compilers.

AutoLINC automates loss function design for better handling of class imbalance in machine learning.

A new method to improve predictive models using uncertain data.

A clear look into chemical reactions and their simulations, from basics to applications.

This article discusses strategies to reduce peak flow rates in district heating.

SUGAR simplifies geometric algebra for engineers and mathematicians using Matlab.

This article outlines a method for robots to optimize paths considering time and energy.

Learn how groups of agents can agree despite unreliable members.

Learn how environment design impacts reinforcement learning for power distribution systems.

Learn how to build and refine models of dynamic systems using advanced techniques.

A new method enhances control strategies for complex systems influenced by uncertainties.

This method improves the safety of self-driving cars through enhanced detection techniques.