Computer Science

Leveraging foundation models for efficient policy violation detection with minimal supervision.

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

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

HypLL simplifies deep learning for hierarchical data using hyperbolic space.

Exploring continual learning techniques applied to complex graph structures.

A new approach enhances reasoning and planning for agents in complex environments.

ANTIDOTE project enhances AI's ability to explain medical predictions.

A new model improves antibody design for more effective vaccines.

Leveraging foundation models for efficient policy violation detection with minimal supervision.

A look at the challenges and strengths of GPT-3's language capabilities.

A new method cuts resource needs while training NLP models effectively.

ANTIDOTE project enhances AI's ability to explain medical predictions.

Researchers develop methods to detect text generated by ChatGPT in French.

A chatbot answers legal questions for cooperatives in Palestine.

Examining the design hurdles and potential improvements for smart speakers.

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

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.

A look into tensor ranks and their significance across various fields.

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.

Combining reinforcement learning and barrier functions for smarter investment strategies.

Machine learning models can quickly predict electricity prices, enhancing market efficiency.

Combining Green's functions with neural networks offers new solutions for complex PDEs.

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.

Robots efficiently create shapes using color codes and specific movement strategies.

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.

This article presents a new method for ordering transactions fairly and efficiently.

Examining strategies that influence cooperation among individuals in various scenarios.

Machine learning models can quickly predict electricity prices, enhancing market efficiency.

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

Aladdin generates stylized 3D assets from simple scene descriptions.

A new method improves self-supervised learning for dense prediction tasks.

The HT-perceptron layer enhances neural networks by combining classical and quantum techniques.

A novel method improves the quality and versatility of NeRF models.

New methods improve photo editing while preserving realism.

Learn how to manage flash lighting after capturing photos.

This study investigates how image resolution affects chest X-ray analysis and classification.

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.

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.

Examining how teams can improve fairness in AI through better collaboration.

Examining how annotator backgrounds shape data quality in NLP tasks.

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

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

JABBERWOCK uses WebAssembly to enhance the detection of malicious websites effectively.

A study reveals a method to create adversarial examples while maintaining their meaning.

A study on password semantics to enhance online security measures.

TrojLLM creates hidden prompts to manipulate large language model outputs.

A new approach combines fuzz testing with AI for better software validation.

A new method certifies neural networks' predictions under various image changes.

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.

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

This article discusses improving sketching algorithms through innovative machine learning techniques.

Exploring methods to count unique items while protecting individual privacy.

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 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.

A fresh look at how disruption is measured in science today.

A look at reproducibility issues in speech processing research.

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.

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

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.

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

A look at causal consistency in distributed data systems using erasure coding.

A guide to enhancing GPU performance through efficient array permutations.

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.

Using Quantum Boltzmann Machines to improve anomaly detection in cybersecurity.

Researchers are developing methods to streamline the HHL algorithm for quantum computers.

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.

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.

Face0 quickly generates images based on text and specific faces.

A new method that turns hand-drawn designs into detailed 3D models.

A new AI tool helps users create polished anime portraits from rough sketches.

A novel method allows printed surfaces to display different images and colors based on viewing angles.

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.

Sparq aims to improve performance in quantized neural networks with lower resource needs.

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.

Integrating language models to improve robot task and motion planning.

Examining how teams can improve fairness in AI through better collaboration.

Learn how counterfactual explanations enhance AI decision-making clarity.

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

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

Hope drives us forward, helping us face challenges and pursue dreams.

New approach improves stance detection accuracy across diverse topics.

A new system helps users choose fonts based on creative intent.

Improving video recommendation systems through the use of Semantic IDs.

A new method enhances the way we evaluate search systems.

A new dataset reveals user behavior linking search and recommendation services.

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 new method improves massive MIMO communication efficiency without the use of pilots.

This article introduces a refined method for measuring information content in patterns.

CORTICAL uses cooperative games to enhance channel capacity learning in communication systems.

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

New approaches aim to improve proof assistants for complex mathematical structures.

Analyze randomness in business processes to improve decision-making and efficiency.

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

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

Exploring the link between system stability and basin of attraction computability.

A new method combines logic programming and time analysis for better data insights.

This article discusses how ontologies enhance communication in multi-agent systems.

This article discusses the advantages and challenges of hypothesis transfer learning in machine learning.

A look at how Hadamard parameterization enhances learning in reinforcement learning techniques.

A new method improves self-supervised learning for dense prediction tasks.

A look at the challenges and strengths of GPT-3's language capabilities.

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

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

A new method cuts resource needs while training NLP models effectively.

HypLL simplifies deep learning for hierarchical data using hyperbolic space.

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.

Optimizing sparse tensor operations for improved performance and efficiency.

A new approach enhances reasoning and planning for agents in complex environments.

A new AI model enhances collaboration and decision-making in gaming and beyond.

Flatland 3 Challenge aims to improve train scheduling and traffic management.

A new framework for managing large teams of robots safely and effectively.

A multi-robot system enhances area monitoring with combined strengths of flying and ground robots.

Analyzing the risks of data poisoning in MARL systems.

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

A new method allows robots to navigate crowded environments safely.

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.

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.

Using game theory to optimize performance in quantum networks for better communication.

A new data collection platform addresses machine learning challenges in network security.

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 framework evaluates how well speech models adapt to specific tasks.

CorInfoMax aims to improve neural networks by mimicking biological learning processes.

Exploring accelerated algorithms for the Asymmetric Eigenvalue Complementarity Problem.

Hypermatrices expand beyond traditional matrices, enabling complex multi-dimensional data handling.

New method accelerates integral calculations in high dimensions using QMC techniques.

New techniques improve the solution of complex nonlinear equations.

Innovative approach enhances understanding of line wave behavior in advanced materials.

A look at DRBEM and its applications in solving complex scientific equations.

Exploring numerical approaches to complex fractional differential equations in various applications.

ParticleWNN offers a new approach to enhance solutions for complex PDEs using deep learning.

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.

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.

Learn how Hydroflow and e-graphs improve data processing efficiency.

New tactile fingertips enhance robotic handling of delicate objects.

This article explores the development of advanced datasets for robotics in manufacturing.

Examining the design hurdles and potential improvements for smart speakers.

Integrating language models to improve robot task and motion planning.

New method improves efficiency of data processing in autonomous ocean monitoring robots.

A new method enables faster and efficient robot grasp learning.

This article presents a method to improve robot manipulation of objects.

Flatland 3 Challenge aims to improve train scheduling and traffic management.

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.

Examining users with mixed views on vaccines during the pandemic.

A new method enhances semi-supervised community detection by focusing on node similarity.

A new approach tackles challenges in knowledge graphs, focusing on accuracy and reliability.

A study on how location details improve travel mode identification.

Examining how different groups discuss climate change on Twitter.

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

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

A tool that aligns code with comments using AI for better software documentation.

This study analyzes bugs in quantum machine learning software to enhance reliability.

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

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

DeCoR helps machines learn new sounds without forgetting old ones.

Streaming audio transformers improve speed and efficiency in audio tagging systems.

New techniques improve accuracy and speed in converting speech to text.

This research introduces improved assessments for clearer communication in individuals with dysarthria.

A new method improves speech recognition for names that sound alike.

A new method enhances the naturalness and variety of text-to-speech output.

Treff adapter improves audio classification with limited labeled data.

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.

New model improves how knowledge graphs represent concepts and entities.

Learn how to speed up recursive functions using Runtime Repeated Recursion Unfolding.

A new IoT system simplifies workout tracking for gym-goers and managers.

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

Learn how cooperative vehicle platooning improves road safety and efficiency.

This study optimizes electric vehicle routes using real-time charging station information.

ColibriUAV enhances drone performance with advanced cameras and efficient processing.

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

New techniques aim to enhance stability and efficiency in power grid operations.

A simpler method for controlling water clarity in sedimentation columns.