Computer Science

A model for fairer vaccine resource allocation to vulnerable populations.

Using survival analysis to improve ball bearing maintenance and reduce machine downtime.

This study analyzes how LLMs can forecast AI's possible harms.

Examining the risks of backdoor attacks on speaker verification systems.

New methods enhance robot coordination in busy public spaces.

Researchers develop new techniques for efficient DNA data storage and error management.

A new method allows users to easily edit and replace objects in 3D scenes.

Learn how explainable benchmarking improves understanding of optimization algorithms.

RAPTOR improves how we retrieve and summarize information from complex texts.

This study analyzes how LLMs can forecast AI's possible harms.

This study focuses on improving QA systems through context understanding.

A new dataset enhances the extraction of key entities in various English texts.

SNNs offer energy-efficient solutions for NLP tasks compared to traditional models.

A study examines the performance and biases of AI language models globally.

A new dataset and method enhance language model question generation.

Research shows how document structure improves NLP models' performance.

Examining recent improvements in communication protocols and their combinatorial implications.

Investigating soldier positioning strategies across various graph types.

This study examines decision problems in quantum graphs, connecting classical and quantum complexity.

Examines the complexity of key graph problems with specific parameters.

This research examines the efficiency of backward computation in training language models.

An overview of optimal strategies in deterministic game settings.

Exploring the link between nearest neighbor representations and Boolean functions in machine learning.

Exploring the impact of update modes in Boolean automata networks.

Graph Multi-Similarity Learning enhances drug discovery through flexible molecular relationships.

A new method improves stability in Smoothed Particle Hydrodynamics simulations of materials.

Research focuses on enhancing coiling methods to treat cerebral aneurysms safely.

Exploring the role of large language models in molecular science.

A method to enhance fluid-flow device performance through innovative design strategies.

NITO offers a faster, adaptable method for optimizing material distribution in engineering designs.

This article presents a computer-checked approach to analyzing AMM economic behavior.

A new method improves predictions of material behavior under load.

A new approach for creating flexible and user-refined polycube layouts in 3D modeling.

Coresets enable efficient computation in machine learning while maintaining accuracy.

This article explores challenges and methods in visibility-based search for efficient route planning.

A new framework improves the clarity and scalability of graph visualizations.

A look into Hartigan's method and its role in clustering.

Introducing message detouring for improved graph cycle representation.

A study on maintaining vertex covers and matchings in changing geometric environments.

Examining the impact of Miner Extractable Value on decentralized finance and AMMs.

An overview of multi-agent learning and strategies for better cooperation.

This study offers solutions for distributing items based on shared preferences.

Strategies to enhance decision-making in cooperative environments with incomplete information.

A study on efficient task assignment while considering budgets and conflicts.

A look at how agents adapt and learn in dynamic environments.

A new method enhances coordination without complete visibility in team settings.

A new model enhances engagement by addressing user and creator needs.

Albatross enhances AI interactions with players in simultaneous games through advanced modeling.

A model that connects touch with vision and sound for enhanced interactions.

New method helps vehicles predict 3D scenes for better decision-making.

A new method allows users to easily edit and replace objects in 3D scenes.

Video inpainting is crucial for improving video quality and restoring old footage.

A new method improves how models perceive depth and spatial relationships in images.

New method improves text recognition in images through instruction-guided learning.

M-RAAP optimizes video and text data pairing for improved search results.

Researchers develop a framework for better video and text understanding.

This study analyzes how LLMs can forecast AI's possible harms.

New protocols enhance document review fairness and privacy in legal cases.

A new dataset and method enhance language model question generation.

A new system for fair online assessments in education.

Survey reveals mixed opinions on AI's efficiency and fairness in transportation.

This article discusses the impact of data under-reporting on fairness in predictive models.

Examining harm amplification in text-to-image models and its societal impact.

Chatbots make science accessible and engaging for students through virtual exhibits.

Examining the risks of backdoor attacks on speaker verification systems.

GuardFS offers proactive defense against ransomware attacks, minimizing data loss effectively.

Double-Dip combines transfer learning and randomization to guard against membership inference attacks.

Exploring ways to enhance trustworthiness in distributed artificial intelligence technologies.

Researchers improve methods for attacking Learning With Errors cryptography using machine learning.

A look at deception online and how to detect it effectively.

Exploring how machine unlearning aids in data privacy and compliance.

New techniques improve speed and effectiveness of morphing attacks on face recognition systems.

New protocols enhance document review fairness and privacy in legal cases.

Research explores a method to form complex shapes with simple tiles.

An algorithm for estimating diffusion degree in real-time graph streams.

Anticipating future events shapes decisions in daily life and technology.

A framework that merges machine learning and approximation algorithms for NP-hard problems.

Methods to efficiently manage network paths after connection failures.

A study on efficient task assignment while considering budgets and conflicts.

New algorithm simplifies construction of special orthogonal matrices for quantum states.

Unlocking the potential of graph databases with advanced query optimization techniques.

A new dataset reveals insights into the use of pre-trained models in software projects.

Human Digital Twins offer a digital view of individuals, enhancing healthcare and sports.

Learn how to minimize regret in billboard ad spaces.

Discover how Object Graph Programming simplifies data handling in software development.

VDMS upgrades streamline visual data processing for efficient query handling.

Examining the importance of data engineering for successful AI systems.

A framework to assess data synthesis methods for quality and privacy.

Transforming scanned documents into usable text through error correction.

Examining how publication types shape aging research in genetics.

DEAN uses deep learning to automatically identify outdated information in knowledge graphs.

New analysis reveals inaccuracies in claims about reduced innovation in scientific papers and patents.

Analyzing trends and key contributors in quantitative finance from arXiv papers.

Examining the importance of data engineering for successful AI systems.

Discover the hidden relationships and patterns among Nobel Prize winners.

Understanding how observatories track their scientific papers and contributions.

An overview of unique graph structures and their implications.

Exploring the role of oriented hypergraphs in modeling complex chemical interactions.

This study offers solutions for distributing items based on shared preferences.

Exploring the properties and applications of directional segment graphs in mathematics.

Investigating soldier positioning strategies across various graph types.

A look into methods for measuring preference diversity in voting frameworks.

A study of overlaps and their role in the Exact Cover Problem.

A look into the challenges and research in group theory.

A closer look at the performance and challenges of large language models in practice.

BlackMamba combines state-space models and mixture of experts for efficient language tasks.

Exploring ways to enhance trustworthiness in distributed artificial intelligence technologies.

Analyzing GPT-NeoX and LLaMA models for materials science applications.

This method accelerates training for sequential models without sacrificing accuracy.

New algorithm improves analysis of complex datasets for researchers.

This framework improves how LLMs handle API calls and memory usage.

Discover how DFML transforms data learning without central servers.

Research explores a method to form complex shapes with simple tiles.

Discover how quantum tools change music creation and performance.

A new method leveraging photonics for efficient deep learning.

A new quantum approach offers secure and efficient scalar product computation.

This article examines quantum forgery attacks on encryption schemes COPA, AES-COPA, and Marble.

A new algorithm enhances quantum learning with imperfect data.

New algorithm simplifies construction of special orthogonal matrices for quantum states.

A new model combines searchable encryption with quantum computation for better data protection.

A new approach to measure responsibility in AI models using game theory.

A new method improves system design for safety-critical applications.

A look at tree transducers and their role in data transformation.

This article examines how random changes affect the complexity of language recognition in automata.

An overview of distributed systems, synchronization, and safety methods.

Exploring the sliding window model for regular languages in data streams.

Exploring new methods for analyzing complex computational systems using Continuous Pushdown VASS.

A deep dive into lasso languages and their significance in computer science.

A new method allows users to easily edit and replace objects in 3D scenes.

A new method improves simulation of soft object interactions.

A new approach for creating flexible and user-refined polycube layouts in 3D modeling.

A flexible method for creating unique indoor environments through text descriptions.

This work enhances rendering accuracy using NeRF for realistic object representations.

A new approach streamlines hand motion adaptation for various applications.

A new method for generating realistic PBR materials using RGB image models.

Squidgets allow users to change 3D scenes by drawing, simplifying the design process.

Effective strategies to manage leakage errors for better quantum performance.

HEANA accelerates CNN tasks with improved speed and energy efficiency.

Exploring how MRRs are reshaping computing for deep learning tasks.

A study on improving task mapping in CGRAs using SAT methods.

Examining the energy efficiency issues in training AI systems and potential solutions.

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.

Using analogies simplifies complex data for better understanding.

WiOpen efficiently recognizes both known and unknown gestures using Wi-Fi technology.

Understanding AI predictions is essential for healthcare professionals.

New systems automate responses to patent Office Actions, improving efficiency for attorneys.

Human Digital Twins offer a digital view of individuals, enhancing healthcare and sports.

AI storytelling program helps children learn mathematical language effectively.

Study examines how ChatGPT affects creative outputs and user engagement.

Discover how quantum tools change music creation and performance.

New protocols enhance document review fairness and privacy in legal cases.

A study examines the performance and biases of AI language models globally.

A new system that enhances recommendations through engaging conversations and real-time user feedback.

A new method balances fairness for consumers and producers in recommendations.

New systems automate responses to patent Office Actions, improving efficiency for attorneys.

A method to enhance multi-label categorization in biomedical texts.

Discover how clarifying questions enhance user experience in information systems.

How Large Language Models improve sequential recommendation systems.

A new method improves signal quality in satellite-terrestrial networks.

A new approach combines energy harvesting with federated learning for better battery management.

Examining the need for efficient real-time communication systems.

A look into error-correcting codes in quantum computing.

Tropical group testing offers detailed outcomes for detecting defects efficiently.

Exploring decimation's influence on sequence properties and its applications.

Discover how smart helpers optimize wireless networks for fast connections.

Using DDPMs to improve signal shaping and communication efficiency.

A new framework for understanding cost in probabilistic functional programming.

An overview of nominal process calculi and their significance in computer science.

A look into model-based testing methods for system verification.

A look into Nöbeling's theorem and its significance in solid abelian groups.

An overview of intuitionistic linear logic and its implications.

Exploring periodic sequences and their importance in non-classical logics.

A look at adjoint logic and its applications in programming and computation.

Explore Polynomial Lawvere Logic and its applications in various fields.

Research combines Fano varieties and machine learning for geometric classification.

This paper discusses enhancing stochastic optimization through recurrent data sampling and regularization methods.

Using survival analysis to improve ball bearing maintenance and reduce machine downtime.

RAPTOR improves how we retrieve and summarize information from complex texts.

Examining the risks of backdoor attacks on speaker verification systems.

Introducing a framework for customizable graph representations in code analysis.

Researchers develop new techniques for efficient DNA data storage and error management.

PLSM reduces complexity in AI world models for better predictions.

New algorithm improves analysis of complex datasets for researchers.

Learn how long memory influences predictions in various fields.

A user-friendly library for tensor simulations in physics.

A practical guide to the QuadratiK package for spherical data analysis.

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.

An overview of multi-agent learning and strategies for better cooperation.

Learn how to minimize regret in billboard ad spaces.

A new method aids agents in quickly adapting to peers' behaviors.

A look at the challenges in assessing RL agents amid changing environments.

A method to improve cooperation in multi-agent systems with sparse rewards.

New algorithms enhance stability and efficiency in cooperative game theory applications.

This article discusses enhancing agent learning in networked environments through a new model.

Exploring new methods for better learning outcomes in multiplayer games.

Researchers develop a framework for better video and text understanding.

A new method enhances audio-visual segmentation without detailed labels.

PIAVE helps machines extract voices clearly, even when speakers turn their heads.

A new system that connects music and language for better understanding.

Learn how to design posters that communicate messages clearly and attractively.

A new dataset enhances AI's ability to interpret human behavior in videos.

Spica enhances video access for blind and low-vision users through interactivity.

Exploring methods to improve robot performance in unpredictable environments.

This article introduces a method to speed up network traffic classification.

Using deep reinforcement learning for better data traffic management.

Exploring how SFL can transform data processing in future mobile networks.

Innovative scheduling method enhances task management for batteryless devices.

This framework enhances large-scale network testing through efficient simulations and analysis.

Wi-Fi 8 introduces C-SR for faster, better wireless connections.

A framework for efficient machine learning deployment in network traffic analysis.

A new method for effective resource management in edge-cloud networks.

Learn how explainable benchmarking improves understanding of optimization algorithms.

Discover the energy-efficient world of Spiking Neural Networks and their unique learning methods.

Research highlights the importance of neuron interactions in sensory perception.

This study examines adding recurrence to Transformers for improved performance in machine learning tasks.

A fresh approach to resource constrained job scheduling using genetic programming techniques.

New methods enhance evaluation efficiency in computational problem-solving using phylogenetic insights.

Exploring how MRRs are reshaping computing for deep learning tasks.

This research examines vulnerabilities in SNNs combined with federated learning techniques.

Learn how the truncation method aids in estimating derivatives despite noisy data.

Understanding fluid movement is key to efficient oil and gas production.

A new method enhances simulation speed and accuracy across various scientific fields.

A look into mathematical models of species interaction and population dynamics.

This study presents state redistribution to enhance fluid flow simulations and manage complex geometries.

Effective fishing quota management is essential for sustaining fish populations and food security.

This article tackles distribution shift issues in machine learning-enhanced simulations.

Study of how solvents influence molecular stability and interaction energy.

A new system enhances performance and reduces delays in medical AI applications.

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 tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

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.

A closer look at the performance and challenges of large language models in practice.

Unlocking the potential of graph databases with advanced query optimization techniques.

A comprehensive assessment of DEVS simulation engines using the DEVStone benchmark.

A novel communication model to boost IoT device connectivity and efficiency.

Strategies to handle resource allocation in evolving communication systems.

Cache blocking enhances computational efficiency in fluid dynamics simulations.

LEO satellites are changing global internet access and connectivity.

New methods improve performance predictions by focusing on memory dependencies.

Combining LLMs and formal verification to improve programming accuracy and efficiency.

A new framework for understanding cost in probabilistic functional programming.

A new graph structure enhances compiler efficiency in parallel programming.

A look at adjoint logic and its applications in programming and computation.

A new dataset and model for enhancing machine learning in formal proofs using Agda.

Discover how Object Graph Programming simplifies data handling in software development.

A new tool aims to simplify the conversion of Redex models to Coq.

This article explains the basics of program semantics and its key concepts.

A model that connects touch with vision and sound for enhanced interactions.

A new method enhances door detection for service robots using simulated and real data.

A new preconditioner improves iterative methods in trajectory optimization tasks.

New methods enhance robot coordination in busy public spaces.

Foundation models are transforming the future of autonomous driving technology.

New machine learning approaches improve robotic tracking capabilities in uncertain environments.

This article discusses improving soft robot simulations using real-world data.

A look at control barrier functions for safe operation in technology.

An analysis of political discussions and community interactions on Twitter.

This article discusses hidden fractal-like properties in complex network community structures.

This work introduces Orderless Regularization to improve graph generation using autoregressive models.

Explore Latent Graph Diffusion, a unified approach for various graph tasks.

This study presents a new method for redistricting using human mobility data.

Analyzing the evolution of fairness in social network recommendations over time.

Bluesky offers users control and decentralization in social networking.

A new method improves the identification of cognates in related languages.

Introducing a framework for customizable graph representations in code analysis.

Making software testing engaging for students through gamification.

Exploring how ChatGPT can improve commit message quality in software development.

This article explores methods for using GPT-3.5 to automate code reviews effectively.

Combining LLMs and formal verification to improve programming accuracy and efficiency.

This study proposes new syntactic sugars based on real coding patterns in Java.

This study examines the difficulties in identifying bugs in deep learning systems.

Introducing FormNexus, a method for automating web form testing efficiently.

Examining the risks of backdoor attacks on speaker verification systems.

A new method enhances audio-visual segmentation without detailed labels.

PIAVE helps machines extract voices clearly, even when speakers turn their heads.

Libriheavy offers 50,000 hours of spoken English to boost speech recognition technology.

AV2Wav enhances speech quality using audio and visual cues.

A fresh method for machines to alter speech emotions naturally.

New methods are being developed to identify deepfake singing voices in the music industry.

Core-set selection improves text-to-speech models by focusing on diverse data.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

FEX offers a novel approach to understanding complex network dynamics from limited data.

A deep dive into the role of symmetric functions over finite fields.

Investigating new methods to enhance pseudorandom generators for better algorithm efficiency.

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.

A new framework enhances drone safety through state identification and trajectory prediction.

Analyzing decentralized stability conditions for power converters in modern energy systems.

A look at control barrier functions for safe operation in technology.

iDDGT offers a flexible solution for decentralized optimization challenges.

A look into the dynamics of generalized Lurie systems and their stability features.

This article reveals how neurons manage their environment actively.

This article discusses the benefits of time division multiplexing in connected vehicles.

This research examines how robot foot design affects walking efficiency on sand.