Computer Science

Learn how LoRA enables efficient fine-tuning of large models on consumer-grade hardware.

ChannelViT improves analysis of complex multi-channel images in various fields.

Discover methods for assessing AI-created music quality through subjective and objective evaluation.

This study highlights how data organization affects machine learning resilience.

Activation patching reveals insights into language models' outputs and behaviors.

LogicMP improves neural networks by integrating logical reasoning for better predictions.

AI technology is reshaping how thyroid cancer is diagnosed and treated.

Enhancing language models' accuracy in medical inquiries through model editing techniques.

Activation patching reveals insights into language models' outputs and behaviors.

Enhancing language models' accuracy in medical inquiries through model editing techniques.

This article examines how LLMs assess their own confidence and performance.

An overview of how machines process text, images, and audio.

Exploring improvements in language models for handling lengthy text inputs.

New method improves AI's performance in image understanding and captioning.

Research reveals new methods for improving theorem proving using large language models.

A new model routing approach enhances large language model selection for specific tasks.

This study examines the complexity of reconstructing monotone trees from density graphs.

A look at new types of neural networks and their capabilities.

Introduction of innovative symmetric error-correcting codes with promising applications.

A look into hypergraphs, their properties, and applications in various fields.

A method to group data while considering diverse characteristics and identities.

A study on effective honeypot integration in production systems for improved cybersecurity.

This article discusses expected Shapley-like scores for evaluating contributions in probabilistic databases.

This paper examines the decoding challenges of zero-rate codes in error correction.

Learn how AI and ML can transform supply chain risk assessment.

Explore the impact of cryptocurrencies and decentralized finance on modern financial systems.

This article examines how scientific advancements shape funding decisions in small businesses.

A new machine learning approach improves design optimization in engineering and science.

This article explores the impact of GPUs on fluid dynamics simulations.

Study on recognizing drivers through their unique driving styles using GPS signals.

New methods improve adsorption energy prediction for catalysts using machine learning.

Quantum computing shows promise in improving Metal-Organic Frameworks for carbon capture.

This study examines the complexity of reconstructing monotone trees from density graphs.

A look into improved clustering methods using multi-swap local search.

This article reviews effective search strategies for different terrains and their implications for autonomous systems.

A method to separate two groups of points with limited lines.

A method to compare smooth curves in various applications.

A study on upward point-set embeddings in directed graphs with special focus on bends.

Examining how drones and trucks reshape delivery methods for efficiency.

Learn how to minimize perimeter when dividing rectangles into smaller parts.

Discover how to allocate costs fairly in Low-Power Wide-Area Networks.

This paper explores resource allocation strategies in competitive lottery games.

Exploring how biases shape choices in multi-dimensional scenarios.

Exploring the potential of quantum mechanics in modern voting.

A look at auction types, strategies, and equilibrium concepts.

A new game approach enhances evacuation planning during disasters.

Examining how selfish task behaviors affect overall scheduling efficiency.

How popularity shapes decisions in business and politics.

ChannelViT improves analysis of complex multi-channel images in various fields.

A challenge reveals progress in automated mitotic figure detection in tumor samples.

A new method improves how robots grasp objects in dynamic environments.

Introducing an active learning method that combines uncertainty and diversity for improved labeling efficiency.

A new model improves recognition of rare categories in imbalanced datasets.

New methods improve the creation of detailed 3D objects efficiently.

New techniques improve the analysis of cellular changes using large datasets.

An overview of how machines process text, images, and audio.

Examining user behavior on Twitter and Parler during the 2020 election.

AI technology is reshaping how thyroid cancer is diagnosed and treated.

A method for fair machine learning that reduces bias in decision-making systems.

This article examines how LLMs assess their own confidence and performance.

This study leverages aerial images and machine learning to assess socioeconomic conditions.

A new approach to secure data sharing while ensuring privacy and compliance.

New methods improve fairness amid shifting data distributions.

TrueLearn tailors learning experiences based on individual user interactions.

A study on machine learning attacks and effective countermeasures in network systems.

HuntGPT improves threat detection with a user-friendly interface and explainable AI.

LATTICE improves anomaly detection in cyber-physical systems through structured learning.

A new tool clarifies social networks' privacy practices for users and researchers.

Differential privacy protects personal data during analysis, ensuring individual privacy.

Raijū uses machine learning to enhance post-exploitation processes in cybersecurity.

Examining the effectiveness of watermarking against adaptive attacks on deepfake images.

A new cache design aimed at enhancing security against timing attacks.

A new model aims to enhance fair vaccine distribution during health crises.

This study examines the complexity of reconstructing monotone trees from density graphs.

A look at new approaches for solving the Dominating Set problem in graphs.

New methods improve efficiency in computing matrix permanents and Hamiltonian cycles in graphs.

An overview of finding the shortest paths in graph theory with a focus on odd paths.

Exploring the role of quantum computing in solving LCS and LPS challenges.

This article discusses simplifying path problems in chordal graphs.

Stability in clustering ensures groups are effective and meaningful.

Enhancing spatial databases to handle location data more efficiently using SIMD.

Assessing LLMs' abilities with Turtle syntax in knowledge graph tasks.

A look at key tasks for event log preprocessing.

Effective data management systems can enhance agricultural practices.

A look into the challenges of process mining unstructured data.

JABBA enhances time series data analysis through consistent symbols and parallel processing.

CXL improves device connections, enhancing memory sharing for better computing.

This article presents techniques to enhance performance in distributed systems.

New approaches enhance the accessibility of cultural heritage resources for all users.

Introducing a new index for fair measurement of research journal impact.

Techniques to streamline searching satellite images using clustering and dimensionality reduction.

Examining the impact and detection of fake academic papers.

Learn how to share scientific findings clearly with diverse audiences.

A detailed dataset combining Mozart's sonatas with piano performances and expert annotations.

Efforts to create a quality measure for research data and software.

A study of public sentiment on Reddit following the October 2023 Hamas attack.

This article explores strategies to maintain fresh information in social business networks.

This article examines methods for creating hypergraphs with specific degree sequences.

Exploring a new way to tackle the classic three jug puzzle using graph theory.

A new approach to solve MWIS efficiently in specific graph types.

A closer look at independent transversals and graph coloring techniques.

A new approach to string optimization enhances performance in decision-making tasks.

This article examines the difficulties in enumerating inclusion-wise minimal separators in graph theory.

A look into hypergraphs, their properties, and applications in various fields.

A look at Federated Deep Equilibrium Learning and its impact on AI.

Canary improves allreduce performance by adapting to network congestion dynamically.

Combining HPC and cloud computing for better performance and cost savings.

Learn how to forecast cloud service outages using performance metrics.

This study examines how lossy compression affects visualization of adaptive mesh refinement data.

Evaluating performance of Transformer models using specialized GAUDI hardware.

A new tool optimizes resource allocation for cloud-based container applications.

New engine improves efficiency in 3D point cloud processing with Sparse Convolution.

A guide to collaborative distributed machine learning while maintaining data privacy.

Explore how quantum tools transform music production for artists.

A new framework that integrates quantum computing with classical methods for better performance in complex problems.

FP8 offers a compact solution for training large AI models with improved efficiency.

Exploring QAOA's application to the Hamiltonian Cycle problem using quantum computing techniques.

A new approach to monitor neural networks during operation to ensure reliability.

Quantum computing shows promise in improving Metal-Organic Frameworks for carbon capture.

A hybrid algorithm merges classical and quantum computing to advance railway dispatching efficiency.

An overview of Topological Quantum Field Theory and its connections to mathematics and physics.

Explore how agents can operate effectively in unpredictable environments through synthesis.

This article examines methods to classify words using non-deterministic automata.

Explore automatic and conditional complexity in strings and their applications.

Exploring how robots can work together effectively using hierarchical task management.

A look at simplified structures for efficient text handling.

Directed languages play a crucial role in computer science and language theory.

A look into string constraints and their importance in software systems.

New methods improve inverse rendering through innovative optimization techniques.

RealFill fills missing parts of images using reference photos for genuine results.

New methods enhance speed and efficiency in 3D rendering.

AAMDM enhances character animation quality and responsiveness in real-time applications.

A review of shape modeling techniques in immersive environments.

AI technology is transforming the creation of 3D models and animations.

Shape maps simplify the creation of reflections and refractions in digital art.

A method for improved visualization of scattered data in particle dynamics.

A study on machine learning attacks and effective countermeasures in network systems.

A new cache design aimed at enhancing security against timing attacks.

A new parallel algorithm enhances Turbo Encoder performance for faster data transmission.

FP8 offers a compact solution for training large AI models with improved efficiency.

U-SWIM reduces programming time for DNNs by focusing on sensitive weights.

ACNet improves image quality while maintaining low computational needs for devices.

Exploring the potential of SNNs in edge computing applications.

Investigating machine learning vulnerabilities in detecting hardware Trojans in ICs.

Discover methods for assessing AI-created music quality through subjective and objective evaluation.

This article examines how LLMs assess their own confidence and performance.

A study examining visual displays for eye tracking data.

MindShift offers personalized interventions to reduce excessive smartphone use by understanding mental states.

Expectations about AI can significantly impact task performance, even in its absence.

Middle school students in Savannah map local issues, fostering resilience and civic engagement.

Examining the key elements that influence trust in visual data.

A system to help Pepper understand and use American Sign Language.

New methods improve analysis of temporal graphs across various fields.

A new approach to enhance fairness in recommendation systems using adaptive adversarial training.

This study focuses on improving summarization accuracy for lengthy scientific documents.

TrueLearn tailors learning experiences based on individual user interactions.

A new method enhances how recommendation systems interpret user clicks.

A new framework enhances clarity in information retrieval using language models.

A new method enhances recommendations by combining images, text, and prices effectively.

Effective data management systems can enhance agricultural practices.

A simple guide to turbo codes and their role in error correction.

A new method provides upper bounds for reaction rates in chemical networks.

Exploring chaotic waveforms for efficient wireless data and power transfer.

This article explores strategies to maintain fresh information in social business networks.

Learn about methods to efficiently handle multi-dimensional data using tensor recovery.

A new method enhances channel estimation in OFDM systems using machine learning.

New system enhances reliability of wireless networks using advanced codebooks.

Exploring how IRSs affect wireless service providers and users.

Explore how agents can operate effectively in unpredictable environments through synthesis.

Exploring the complexities of how agents know to achieve goals.

Examining positional strategies and objectives in infinite games.

Research on many-valued coalgebraic logics using semi-primal algebras highlights completeness and expressivity.

A look into causal stream transformers and their role in processing information.

Examining the role of semi-simplicial and semi-cubical sets in modern mathematics.

Exploring tools and methods for analyzing systems influenced by time and parameters.

A look at the relationship between type theory and higher-order arithmetic in mathematics.

Examining the benefits and applications of non-stationary kernels in machine learning.

Learn how LoRA enables efficient fine-tuning of large models on consumer-grade hardware.

Exploring techniques to generate realistic data using autoencoders and copula models.

ChannelViT improves analysis of complex multi-channel images in various fields.

This study highlights how data organization affects machine learning resilience.

Activation patching reveals insights into language models' outputs and behaviors.

Using neural networks to enhance contact mechanics analysis and prediction.

Learn how stacked regressions elevate predictive modeling by combining multiple approaches.

New methods simplify complex polynomial optimization challenges for better solutions.

Combining JAX and Firedrake enhances numerical methods for solving partial differential equations.

New method enhances predictions using Gaussian processes on unknown data structures.

New algorithm enhances saving and loading processes for complex simulations.

A framework for analyzing complex data using graph structures.

Learn how Chisholm approximants aid in estimating functions with two variables.

A novel approach improves wave simulation in irregular landscapes for better predictions.

New algorithm improves analysis of complex datasets for researchers.

A guide to collaborative distributed machine learning while maintaining data privacy.

A new method for managing electric vehicle charging using multi-agent reinforcement learning.

DREAM enhances how robots manage tasks and energy in challenging settings.

New method allows agents to learn together while managing untrustworthy influences.

This study examines AI behavior in war simulations and its implications for military decisions.

A dataset featuring StarCraft II replays to analyze multi-agent interactions.

Learn how controllability backbone aids in managing networked agents effectively.

Examining the efficiency and fairness in real-time vehicle task assignment.

A system to make remote UAV control safer and more reliable using Digital Twin.

A new framework identifies and measures bias in image generation systems.

Explore how Diffusion Models improve super-resolution in various fields.

A new model improves low-quality videos while reducing processing demands.

SAMA improves image and video quality assessment through effective sampling techniques.

This study examines the difficulties of using contrastive learning for music video understanding.

A new method streamlines the design of animated character eyes.

A new method improves image compression by focusing on frequency bands.

A new approach to improve IP alias resolution and dual-stack identification using multiple protocols.

A tool improves router vendor identification and its impact on network security.

A new approach enhances video streaming performance and quality under varying network conditions.

This article discusses methods for predicting channel states to improve wireless communication.

A look into QUIC's performance enhancements over traditional protocols.

A system to make remote UAV control safer and more reliable using Digital Twin.

Canary improves allreduce performance by adapting to network congestion dynamically.

A look at how IIoT and cloud services are reshaping manufacturing processes.

SAM improves neural network training by focusing on parameter stability.

Exploring how machine learning enhances model-predictive control for better system performance.

Advanced technologies are enhancing temperature predictions in reheating furnaces for better efficiency.

PyVRP offers efficient solutions for complex vehicle routing challenges.

A look at improving machine learning through representation learning techniques.

A method that mimics human learning for better machine adaptability.

A novel approach merges two methods for better problem-solving.

A novel approach merges state space models with spiking neural networks for better data handling.

A new method for approximating invariant measures in stochastic systems.

Using neural networks to enhance contact mechanics analysis and prediction.

This study introduces a method to find unknown initial conditions in wave behavior.

A method for unbiased estimation of parameters in partially observed diffusion processes.

A new Cartesian grid-based approach for solving Hele-Shaw flow and Stefan problem.

New methods improve heat equation solutions for irregular boundaries and interfaces.

Introducing a new method for accurate simulations of nematic liquid crystals.

A novel method improving magnetic field calculations in electromagnetics.

This article reviews Linux API usage in various applications and highlights key findings.

A look at new systems improving insulin delivery and blood sugar monitoring.

A look into the advancements and challenges in modern storage systems.

Memory fragmentation affects computer performance, especially in demanding environments.

This paper discusses improving energy efficiency in devices using harvested power.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

A new tool evaluates Syzbot's ability to find Linux kernel bugs.

Learn how to enhance AI performance using GPU remoting and effective networking.

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.

Researchers create digital copies of animals for ethical and efficient studies.

Discover how DNA could change the future of data storage.

FP8 offers a compact solution for training large AI models with improved efficiency.

New engine improves efficiency in 3D point cloud processing with Sparse Convolution.

New methods enhance speed and efficiency in 3D rendering.

CXL improves device connections, enhancing memory sharing for better computing.

A new system enables fast processing of temporal graphs on single machines.

A new method to efficiently update PageRank scores in changing graphs.

A look into the advancements and challenges in modern storage systems.

Memory fragmentation affects computer performance, especially in demanding environments.

Exploring proof techniques for evaluating functions in programming languages.

Introducing a programming language that combines system and non-system features.

An in-depth look at how LLMs convert language into code across multiple tasks.

A new framework that integrates quantum computing with classical methods for better performance in complex problems.

This article discusses smart contract vulnerabilities and a new programming approach.

This study examines how quizzes can enhance learning in programming languages.

Learn how static code analysis enhances software quality and security.

A new approach simplifies secure program development for distributed systems.

Research explores how language models enhance planning for multiple robots in complex tasks.

A new method allows robots to rearrange objects using natural language commands.

A novel approach to generate challenging driving scenarios for autonomous vehicles using simulation.

Research vehicle EDGAR and its digital twin contribute to autonomous driving development.

A new method improves how robots grasp objects in dynamic environments.

New techniques help robots learn to walk better on uneven surfaces.

OceanChat helps users operate underwater robots with natural language commands.

DynaCon helps robots navigate without maps by using real-time feedback and reasoning.

Examining user behavior on Twitter and Parler during the 2020 election.

Learn how influence spreads online and its impact on beliefs.

New measures provide insights into directed graphs in biological systems.

This article explores strategies to maintain fresh information in social business networks.

A guide to using IMoG for automotive innovation challenges.

This method uses prompts and social context for better fake news detection.

This article explores how hacker groups collaborate and share knowledge in cyber-attacks.

This article discusses smart contract vulnerabilities and a new programming approach.

T5APR improves bug fixing across multiple programming languages using advanced machine learning techniques.

LATTICE improves anomaly detection in cyber-physical systems through structured learning.

Learn about ROMC and its application in likelihood-free inference.

Introducing a programming language that combines system and non-system features.

A guide to collaborative distributed machine learning while maintaining data privacy.

Learn how industry professionals define and assess test-case quality.

Using experts to enhance data quality in machine learning tasks.

A look at how machine learning can improve fuzz testing techniques.

Discover methods for assessing AI-created music quality through subjective and objective evaluation.

Research focuses on tongue movements to aid speech therapy and language learning.

This study examines how gender affects voice biometrics' utility, privacy, and fairness.

New pruning methods enhance zero-shot multi-speaker text-to-speech model performance.

Research on emotion recognition in emergency call interactions reveals significant insights.

New methods for selecting speech data minimize labeling while improving recognition accuracy.

A new method enhances emotion recognition in speech by analyzing time and frequency.

Explore how quantum tools transform music production for artists.

LogicMP improves neural networks by integrating logical reasoning for better predictions.

JABBA enhances time series data analysis through consistent symbols and parallel processing.

SCoBots improve reinforcement learning by enhancing object relationship understanding.

Introducing a novel approach to categorize and study emotions through the Emotion Frame Ontology.

This study examines how ML improves variable selection in symbolic computation.

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.

Lipschitz-Constrained Neural Networks enhance prediction accuracy in complex systems.

New calibration method improves accuracy in air quality sensors.

A new method improves beam alignment in mmWave and THz radios for faster communication.

TeleFMG allows natural hand movements to control robotic hands remotely.

Researchers analyze how AVs and human drivers manage conflicts at intersections.

New measures provide insights into directed graphs in biological systems.

A look at integrating Deep Reinforcement Learning in UAV systems for better performance and safety.

This study assesses noise levels from a specialized 100kW wind turbine.