Computer Science

A novel approach enhances machine learning through fewer examples and multimodal data.

Researchers develop a model to better predict protein stability changes from amino acid mutations.

A novel method improves understanding of predictions in healthcare time series data.

Exploring prompt injection threats in LLM-integrated applications.

New methods emphasize high-reward actions for better offline learning.

New algorithms enhance efficiency in solving complex optimization problems.

A new method for voice conversion improves clarity and adaptation.

PandaLM automates evaluation processes to improve large language models' instruction following.

A novel approach enhances machine learning through fewer examples and multimodal data.

Combining human efforts and large language models enhances data quality for machine learning.

This article discusses a benchmark for assessing LLMs against tricky prompts.

Using transfer learning from Czech models boosts Slovak speech recognition accuracy.

Exploring prompt injection threats in LLM-integrated applications.

PandaLM automates evaluation processes to improve large language models' instruction following.

Discover how language models enhance customer service efficiency and reduce costs.

Building TTS systems for lesser-known Turkic languages using Kazakh data.

Exploring complexity measures and efficiency in read-once branching programs.

Research on algorithms for finding shortest paths in distributed graph models.

New methods enhance management of electric vehicle sharing systems for better customer service.

Researchers unveil a method for simple patterns to replicate using cellular automata.

Bell sampling aids in proving the effectiveness of quantum computers over classical systems.

An overview of quantum learning and its applications in technology.

A concise overview of set functions, their types, and optimization methods.

An overview of polynomial optimization methods and their practical implications.

AircraftVerse offers a vast collection of aerial vehicle designs and performance metrics.

A method to improve predictions of human reactions using selective data sampling.

Streamline analysis of complex systems using data and advanced modeling techniques.

Researchers develop models to improve liver surgery outcomes through better blood flow prediction.

Researchers develop a generative model to improve protein folding predictions.

Innovative approaches using DMD and GAN enhance modeling of shock-induced pore collapse.

This article discusses how blood vessels adapt under different conditions.

This model helps traders improve investment decisions with a focus on price changes.

Exploring techniques to reduce graphs while preserving key distance relationships.

Exploring the intricacies and challenges of disk packing in geometry.

Explore an optimization challenge in connecting locations using Steiner points.

A new method improves mesh generation for accurate surface representation.

New research reveals methods to detect and address gerrymandering using random districting plans.

Research unveils methods to test if crease patterns can be folded flat.

This article explores challenges and solutions in finding optimal observation paths.

A look at techniques to improve curvature estimation from noisy point cloud data.

Examining how information markets can influence traditional voting methods.

Examining the threats of bribery to blockchain security and integrity.

Examining how algorithms can adapt to strategic behavior in lending and hiring.

Exploring strategies for securing networked systems against potential attacks.

Cyber insurance faces data sharing dilemmas in a complex risk landscape.

Analyzing the risks of data poisoning in MARL systems.

This article discusses how multiple agents learn decision-making with safety constraints.

Learn effective methods for choosing influential figures in various networks.

New method enhances 3D detection using only 2D camera data.

This article discusses a new method for improving image recognition using regions.

This article examines the privacy concerns tied to diffusion models and proposes solutions.

A new model enables detailed conversations about video content.

A method to prune datasets while maintaining performance in machine learning tasks.

A new method improves product recommendations by focusing on user visual preferences.

A new method enhances object tracking and speed estimation for self-driving vehicles.

A new approach improves the creation of medical reports from images using advanced models.

Examines how centralized platforms reshape open source tools and community values.

Disinformation spreads rapidly online, affecting trust and informed choices.

Examining how AI language models reflect biases against marginalized communities.

Google's Topics API aims to improve user privacy in advertising.

A framework to assess generative AI's technical and societal effects.

This article explores challenges in model explanations and methods to improve consistency.

This study analyzes offline cultural events using data from Meetup.com.

Examining user reactions to misleading digital ads and accountability.

This article discusses a benchmark for assessing LLMs against tricky prompts.

Exploring prompt injection threats in LLM-integrated applications.

Examining the impact of adversarial attacks on network intrusion detection systems.

This article examines the privacy concerns tied to diffusion models and proposes solutions.

New methods improve security in computer architecture through formal specifications.

This article discusses strategies to mitigate privacy risks in machine learning.

Examining the threats of bribery to blockchain security and integrity.

Learn how new tools can assess risks in data-sharing practices.

Efficiently optimizing dynamic data under strict matroid rules.

A look into the importance and methods of quantum state estimation.

Exploring techniques to reduce graphs while preserving key distance relationships.

Exploring the benefits of lookahead in semi-online task scheduling.

Introducing an algorithm for private shortest path calculations in low tree-width graphs.

New graph embeddings enhance distinction between non-isomorphic graphs in machine learning tasks.

New methods improve sampling efficiency for large datasets in machine learning.

New methods enhance machine learning despite data noise.

A new method speeds up database queries using machine learning techniques.

This method balances fairness and project needs in team selection.

Learn how temporal query systems improve data analysis across various domains.

A method that combines data processing and ML predictions for faster decision-making.

A look at how data management has transformed over decades.

A new dataset and scoring model focuses on human tastes in image generation.

A look into functional dependencies and their significance in data accuracy.

A framework designed to enhance stream compression on edge devices, balancing efficiency and energy use.

A look at how citation inflation skews our understanding of scientific contributions.

Examining how national CSIRTs use public information and free tools for incident response.

A new index offers a detailed view of ongoing research contributions.

Investigating prompt-based methods for improving language models in research data retrieval.

Using Transformers to analyze and categorize research papers for better insights.

AI tools aim to improve access to LaTeX documents for visually impaired users.

A dataset offering insights into how the Russo-Ukrainian war is reported worldwide.

A new system allows users to search Iconclass using both text and images.

This article examines methods to show certain number sequences are positive.

Examining the coloring techniques of Cayley graphs in various algebraic structures.

Analysis of agent interactions and meeting times in non-atomic random walks.

Explore the complexities of graph sampling and the random cluster model.

A concise overview of set functions, their types, and optimization methods.

A look into Robinson spaces, PQ-trees, and mmodules for data organization.

A look at geometric inhomogeneous random graphs and their practical applications.

A study on optimizing arrangements of bipartite planar graphs in linear layouts.

Innovative partitioning methods improve SMT solver efficiency for complex problems.

A novel approach reduces energy consumption in image sharing through local generation.

FedSMOO enhances federated learning by addressing data diversity and communication issues.

New algorithms improve the analysis of complex, high-dimensional datasets.

Research on algorithms for finding shortest paths in distributed graph models.

A case study on functional and load testing for microservice systems.

Analysis of agent interactions and meeting times in non-atomic random walks.

A model for better predictions of I/O operations in Linux environments.

Explore how edge AI is transforming wireless communication systems for better efficiency and accuracy.

This study combines classical and quantum methods for improved image segmentation.

Exploring how RNS can boost efficiency and precision in deep learning.

Photonic networks harness light for faster AI processing and energy efficiency.

A new method improves prediction reliability in neural networks using spintronics.

This paper discusses flexible programming methods for dynamic qubit arrays in quantum computing.

Research highlights the benefits of the reducing-width Ansatz design in QNNs.

Exploring the potential of quantum neural networks in chemical and pharmaceutical research.

New techniques improve real-time monitoring for critical system performance.

Explore how invariants and home spaces help in system analysis.

This article explores improvements to Angluin's algorithm for learning automata with noisy data.

This method improves equation discovery from data by using intuitive tree structures.

Learn how multiplication transducers simplify calculations in various bases.

This article introduces a new framework for improving language model execution.

This paper focuses on the importance of robustness in safety-critical systems.

New methods improve the verification of concurrent programs, addressing path explosion challenges.

A novel technique enhances the rendering of shiny surfaces in real-time applications.

A new sampling method enhances the efficiency of rendering in computer graphics.

StreetSurf creates detailed 3D models from standard images of street views.

This method converts hand-drawn sketches into editable 3D shapes easily.

Aladdin generates stylized 3D assets from simple scene descriptions.

A new method improves hair reconstruction for gaming, movies, and virtual meetings.

Learn how local deformation improves 3D shape editing for artists.

Exploring the methods and challenges in vector image generation.

A look at Mixed-TD for optimizing neural networks on hardware.

A new framework improves text generation speed through better memory allocation.

ColibriUAV enhances drone performance with advanced cameras and efficient processing.

Utilizing Large Language Models to optimize DNNs for small devices.

NetGAP automates network design for complex systems, enhancing adaptability and efficiency.

Examining the impact of heterogeneous integration on reducing carbon emissions in tech.

Exploring how RNS can boost efficiency and precision in deep learning.

A new method improves prediction reliability in neural networks using spintronics.

Understanding how surroundings impact nearsightedness in adolescents.

Exploring the dynamics of human and AI collaboration in software development.

A novel approach using head movements and throat vibrations aids underwater communication.

Examining user reactions to misleading digital ads and accountability.

Examining privacy issues in FemTech technologies for women's health.

Examining the design hurdles and potential improvements for smart speakers.

A study on the effectiveness of LLMs in helping beginner programmers with coding issues.

Learn best practices for creating clear annotations in data visuals.

Box embeddings enhance the handling of complex item-attribute queries for better search results.

A new approach improves the creation of medical reports from images using advanced models.

A look at new methods improving image clustering performance using contrastive learning.

Learn how RETA-LLM combines language models and retrieval systems for better answers.

Discover how CMR transforms recommendation accuracy with real-time adjustments.

Web scraping provides essential data for understanding geographic trends and urban changes.

GitHub hosts vast open data essential for AI research and collaboration.

Introducing FairLTR-RC to enhance fairness in ranking systems without heavy retraining.

Explore how edge AI is transforming wireless communication systems for better efficiency and accuracy.

Exploring the role of HF codes in error reduction for DNA data storage.

Learn about a new method that identifies cause-and-effect relationships in time series data.

RIS technology is set to improve wireless communication efficiency and coverage.

A new perspective on gravity links it to statistical methods and information geometry.

Non-terrestrial networks advance location services, especially with the rise of 5G technology.

New techniques improve self-interference management in full-duplex communication.

A new method improves mobile edge computing performance through efficient resource management.

A look at how logic helps AI make sense of complex relationships.

Examining fairness principles in machine learning to ensure equitable decision-making.

Innovative partitioning methods improve SMT solver efficiency for complex problems.

A new method combines PAC learning and epistemic reasoning for effective knowledge acquisition.

A new approach to monitoring that uses multiple system executions for better accuracy.

Discover the essence and importance of proof theory in mathematics and beyond.

A look into how team semantics shapes logical inference and language interpretation.

Closure certificates enhance safety verification in complex systems across various industries.

A look at Clip21's role in enhancing differential privacy during model training.

Box embeddings enhance the handling of complex item-attribute queries for better search results.

This article discusses a benchmark for assessing LLMs against tricky prompts.

Researchers develop a model to better predict protein stability changes from amino acid mutations.

A new method enhances model personalization while ensuring data privacy.

A novel method improves understanding of predictions in healthcare time series data.

Examining the impact of adversarial attacks on network intrusion detection systems.

Learn how to estimate errors in PINNs for better solutions to PDEs.

Blendstrings provide smooth, accurate function representations in various fields.

New methods for matrix multiplication improve speed and energy efficiency.

New methods enhance MPI Alltoallv communication for improved FFT performance.

Discover how FPGA technology improves high-precision matrix multiplication.

Learn about function calculus and its real-world applications.

SpComp enhances efficiency in sparse matrix calculations through smart optimization.

New software enhances XCT imaging with machine learning and data consistency.

Study investigates the impact of noise on matrix profile analysis of time series data.

A new framework tackles challenges of Byzantine agents in distributed optimization.

Examining how information markets can influence traditional voting methods.

How online content influences opinion formation and societal divisions.

A new reasoning framework improves cooperation in multi-agent learning.

A new approach simplifies data sharing for efficient distributed learning.

A new method enhances safety for connected and automated vehicles amid potential threats.

Exploring new methods for effective perimeter defense using technology and decentralized learning.

This paper introduces a method to improve self-driving cars' decision-making in mixed traffic.

A novel method enhances audio classification by learning new sounds efficiently.

A new system improves viewing direction selection in 360-degree videos.

A benchmark for assessing image similarity based on user-defined conditions.

A new model improves how machines understand and respond to audio questions.

A new strategy ensures equal representation of data types in machine learning.

A new dataset challenges methods for detecting altered video content.

A new dataset and model improve remote sensing image analysis.

Research shows effective ways to compress cataract surgery videos for better storage management.

Examining the impact of adversarial attacks on network intrusion detection systems.

Learned Digital Back-Propagation enhances optical signal quality and reduces interference.

FAIR Digital Objects aim to enhance management and sharing of research data.

Tiny devices could change how we monitor health inside the bloodstream.

A fresh approach reveals insights into LEO satellite networks based on real user data.

Examining the need for lower collateral requirements in blockchain loans.

A look at scheduling methods for effective network communication management.

Lakat promotes open sharing and collaboration in academic research.

Research shows how systems learn to adapt in real-time using brain-like mechanisms.

Exploring new methods for effective perimeter defense using technology and decentralized learning.

A new neuron design enhances CNN capabilities while reducing computational costs.

This study explores navigation strategies in a simulated Morris Water Maze environment.

Researchers find simpler models can compete with deeper networks in performance.

New library enhances AI training and evaluation in NetHack.

Exploring how RNS can boost efficiency and precision in deep learning.

Examining the neural connections that enable memory and learning in the brain.

A new approach to improve accuracy in finding complex zeros of polynomial systems.

Learn how to estimate errors in PINNs for better solutions to PDEs.

New method offers flexibility for calculating convolutions effectively.

Blendstrings provide smooth, accurate function representations in various fields.

Using reinforcement learning to enhance understanding of rare chemical reactions.

A look at how magnetorelaxometry imaging improves medical applications of nanoparticles.

Research enhances LDG method for better accuracy in fluid flow problems.

Reduce complexity in systems to gain insights and improve predictions.

Exploring the benefits of lookahead in semi-online task scheduling.

A model for better predictions of I/O operations in Linux environments.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

This framework simplifies the development of Linux kernel schedulers.

Discover how ZNS devices simplify SSD data management and improve efficiency.

LibPreemptible improves scheduling in cloud applications, reducing delays and enhancing performance.

Addressing the need for accurate sustainability in data centers.

Introducing a framework for better application isolation and resource sharing.

Exploring the significance and applications of mobility data in society today.

A new framework helps scientists communicate and design better experiments.

A clear overview of work systems, their components, and management challenges.

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.

A model for better predictions of I/O operations in Linux environments.

A new method enhances accuracy in software performance predictions using focused data groups.

A method that combines data processing and ML predictions for faster decision-making.

Learn how RAID enhances data reliability and performance in storage systems.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

ZeRO++ enhances communication efficiency in training large deep learning models.

Discover how encrypted DNS improves user privacy and web performance.

New methods improve the visualization of complex scientific data.

New methods improve security in computer architecture through formal specifications.

This article discusses a combined method for effective automated code editing.

A new programming language simplifies Bayesian inference on function spaces for researchers.

Simplifying type management in programs with automatic box insertion.

This article discusses using Live Programming to enhance AI-generated code suggestions.

A new method enhances control over text generation in language models.

This study assesses self-repair's effectiveness in programming tasks using advanced language models.

A library for fuzzy logic in Julia, focusing on ease of use and flexibility.

A new method balances robot speed and human safety in collaborative environments.

AircraftVerse offers a vast collection of aerial vehicle designs and performance metrics.

A new drone design adapts for efficiency and flexibility in various tasks.

A flexible prediction model enhances safety and efficiency in highway merging.

Researchers develop new drone wings for effective perching on vertical surfaces.

New planner boosts robot efficiency and safety in multi-goal missions.

Research focuses on improving decision-making for robots in complex environments.

A new charging system for drones that boosts their flight time.

Introducing hybrid graphs and their significance in understanding complex networks.

This paper examines how local homophily affects graph neural network performance.

Introducing a new model for understanding the growth of scale-free networks.

A look at how citation inflation skews our understanding of scientific contributions.

AI-generated explanations enhance labeling accuracy for sponsored social media posts.

This study analyzes offline cultural events using data from Meetup.com.

This study examines AI's role in solving Hamiltonian cycles more efficiently.

Explore how merging nodes can strengthen graph connectivity in various systems.

Exploring prompt injection threats in LLM-integrated applications.

Analyzing cloning and shading methods to improve software security.

A look into the importance of construct validity in software engineering studies.

Automated systems enhance programming education by offering timely feedback to students.

A framework for enhancing software quality in machine learning applications.

Discover how UI-Diffuser speeds up mobile app design using deep learning.

This article discusses the importance of documenting refactoring in software development.

A case study on functional and load testing for microservice systems.

A new method to estimate room responses in complex sound environments.

A new method for voice conversion improves clarity and adaptation.

MeLoDy quickly generates high-quality music from text prompts.

New methods emerge to protect voice recognition from adversarial attacks.

A novel technique checks for training data exposure in diffusion models.

A new model improves voice isolation in noisy environments.

This article discusses how to recreate magnetic tape sound using digital technology.

A new method enhances speaker verification by combining knowledge distillation and fine-tuning.

A new approach to improve accuracy in finding complex zeros of polynomial systems.

This article examines methods to show certain number sequences are positive.

Exploring efficient methods for creating winning strategies in two-player games.

Using the Risch Algorithm to improve datasets for machine learning in symbolic integration.

A look at how algebraic simplifiers enhance software reliability.

A novel method to find real solutions in symmetric polynomials efficiently.

A look at methods for handling polynomial equations and their applications.

An overview of complex projective hypersurfaces and their significance in mathematics.

A new observer design estimates motion states affected by friction.

A new method reduces risks in control systems using deep reinforcement learning.

A new drone design adapts for efficiency and flexibility in various tasks.

Discover a flexible method to maintain system stability and performance in various industries.

A model for hormone regulation in biological systems.

Evaluating the reliability of PMUs in modern power systems is essential for stable operations.

Streamline analysis of complex systems using data and advanced modeling techniques.

A new approach simplifies data sharing for efficient distributed learning.