Computer Science

An overview of GenAI's influence on creative rights and fair use.

This study analyzes how well AI models solve Italian rebuses.

A new framework aims to reduce hallucinations in LVLMs through active retrieval.

A framework to reduce false outputs in language-vision models across multiple languages.

A new method enhances neural networks for solving decision problems with constraints.

Examining AI's role in illustrating Brazilian literature.

ISM improves dialogue quality and response speed in language models.

FOVAL improves autofocal glasses' accuracy and usability without constant calibration.

Enhancing smaller language models like MiniCPM through effective fine-tuning practices.

Examining the issues and advancements in cross-lingual summarization methods.

This article examines the relationship between model size and performance in multimodal language models.

This study analyzes how well AI models solve Italian rebuses.

A new framework aims to reduce hallucinations in LVLMs through active retrieval.

A framework to reduce false outputs in language-vision models across multiple languages.

ISM improves dialogue quality and response speed in language models.

This study examines how toxic comments affect engagement and monetisation for YouTube creators.

A new quantum approach solves TSP using a single qubit.

An overview of Dominic Welsh's contributions and influence in mathematics.

A new method enhances understanding of RL agents' decision-making.

Simplifying quantum circuit simulations with group theory for better efficiency.

Research highlights the importance of scrambling in quantum circuits and its applications.

An overview of optimization challenges in computer science and mathematics.

Explore the key concepts and implications of quantum circuits and entanglement.

A new method for resource estimation in quantum computing circuits.

New methods in lattice design improve strength while minimizing weight.

A new method enhances fraud detection while ensuring data privacy.

This paper presents a method to identify risk factors using modern data techniques.

Analyzing how major health events affect pharmaceutical company stock prices.

Open dataset aids study of Windsor body aerodynamics for improved car design.

Using machine learning to improve electric vehicle battery enclosures for safety and efficiency.

Exploring the role of surrogate models in improving aircraft design efficiency.

A new framework improves predictive modeling by merging varied engineering data sources.

A look at systoles and their calculation on combinatorial surfaces.

This article examines distance functions and their significance as topological Morse functions.

Techniques to separate positive and negative point sets using polyhedral shapes.

New algorithms enhance contour tree analysis in large datasets across scientific fields.

New methods aim to improve graph layout evaluation accuracy.

Learn how predictions can enhance search strategies in various environments.

A guide to the smallest enclosing circle on a sphere with practical applications.

A method to simplify 3D models of indoor spaces using point cloud data.

Restaking presents new earning opportunities along with significant risks for node operators.

Examining influences on voter behavior and turnout rates in democratic elections.

A look at optimizing High Occupancy Toll lanes to reduce congestion.

Learn how Shapley compositions improve the understanding of multiclass predictions.

Exploring how to combine sure and threshold goals in decision-making.

Exploring methods to fairly allocate shared resources among community members.

Exploring how randomness can improve fairness in resource distribution.

Examining the impact of transaction ordering on decentralized exchange trading.

A new framework improves medical image segmentation with fewer labeled images.

This article examines the relationship between model size and performance in multimodal language models.

A new method improves 3D object detection using LiDAR data without labels.

A new tool bridges gene expression and tissue structure for better medical research.

A new framework aims to reduce hallucinations in LVLMs through active retrieval.

A framework to reduce false outputs in language-vision models across multiple languages.

FOVAL improves autofocal glasses' accuracy and usability without constant calibration.

SegStitch improves accuracy and efficiency in medical imaging segmentation.

An overview of GenAI's influence on creative rights and fair use.

This study examines how toxic comments affect engagement and monetisation for YouTube creators.

Exploring AI tutors' role in enhancing robotics education through advanced techniques.

Study reveals how self-emotions enhance virtual agents' dialogue and decision-making.

Study reveals gaps in representation for marginalized users of Stable Diffusion.

Examining how T2Is portray caste identities and reinforce stereotypes.

Introducing a new index to measure bias in decision-making processes influenced by language models.

A new tool for evaluating algorithmic thinking skills in Swiss schools.

Harmful subtitle files can compromise user devices through popular media players.

This study reviews ChatGPT's usability in enhancing software security practices.

Assessing the cybersecurity risks posed by large language models.

This article discusses how SDN improves IoT security amidst rising threats.

Examining how emotional cues can hijack speaker identification technology.

Exploring adaptive systems for managing runtime errors using Large Language Models.

Research improves methods for analyzing lightweight ciphers like Simon and Simeck.

New method enhances privacy for vision transformers in machine learning.

New techniques improve efficiency of multijoins in graph databases.

Learn the parallel methods for verifying and analyzing minimum spanning trees.

A new approach to enhance answer diversity in database queries.

A novel approach to enhance query evaluation in dynamic data streams.

A look at neural networks using detailed and simplified models.

Innovative methods to manage unpredictability in optimization processes.

Exploring the intersection of data privacy and continuous learning methods.

A new algorithm improves player matching while managing delays in online services.

New techniques improve efficiency of multijoins in graph databases.

A new approach to enhance answer diversity in database queries.

A novel approach to enhance query evaluation in dynamic data streams.

Learn about data dependencies and their importance in maintaining database integrity.

Innovative techniques to analyze complex relationships in large graphs.

Learn how Data Envelopment Analysis assesses organizational performance and efficiency.

Explore how Earth System Data Cubes facilitate Earth science research.

CREST improves AI text generation by compacting data storage while maintaining performance.

Access over 2 billion unique citation links for open research.

Efforts to simplify academic language enhance understanding for all readers.

This article discusses the importance and current state of reproducibility in visualization research.

PATopics streamlines access to pharmaceutical patents for researchers, chemists, and companies.

Learn how Class-Incremental Learning improves authorship attribution systems.

A new framework utilizes machine learning for efficient literature review in astronomy.

Low-Code is transforming software development with easier tools for all.

This study focuses on labeling musical symbols in the Ricordi Archive manuscripts.

Exploring the link between derangement graphs and orthogonal Latin squares.

A look at how Ideal Flow Networks simplify and optimize various systems.

A novel algorithm on Loihi 2 shows promise for efficient QUBO problem-solving.

Exploring the challenges of rearranging tokens in graphs.

Research reveals new limits on parameterized squares within strings.

A new model to improve public transport planning by considering vehicle capacity and passenger behavior.

Exploring the unique properties of random spanning trees in graph theory.

New formulations improve decision tree accuracy and efficiency using mixed integer linear optimization.

Effective resource monitoring enhances data processing in scientific research workflows.

A closer look at the QAOA and its distributed approach in quantum computing.

Techniques for reducing energy use in powerful computing systems without sacrificing performance.

New method enhances privacy for vision transformers in machine learning.

A novel approach to checkpointing in MPI enhances efficiency and eases usage.

A novel approach to federated learning that enhances privacy and efficiency.

The throttLL'eM framework cuts energy use while ensuring quick responses.

Tapis enhances job scheduling by predicting wait times for faster results.

An overview of VQE's performance factors and future research directions.

New methods enhance the accuracy of in-body nanodevices based on individual characteristics.

A new approach enhances learner assessment and understanding of skills.

A study on the behavior of cellular automata and random networks regarding memory tasks.

Exploring the impact of open generative models on fact-checking organizations.

Q-gen streamlines the process of generating quantum circuits for researchers.

Exploring the efficiency of optical Ising machines in complex problem-solving.

A novel method enhances data representation for quantum computers in machine learning.

A novel approach to enhance query evaluation in dynamic data streams.

This article discusses the importance of regular grammars in graph structures.

A new approach to clustering high-dimensional data with cellular automata.

This article discusses recomposition's role in improving software verification processes.

A new method enhances accuracy in automata learning using large language models.

A look into disjunctive timed networks and their verification methods.

This article investigates absent scattered factors and their significance in word structure.

An overview of parameterized systems and their verification challenges.

DiM-Gesture creates realistic gestures synchronized with speech for digital interactions.

A powerful simulator designed to enhance self-driving car training through rapid scenario generation.

Three innovative tools enhance the understanding of Local Moran's I results.

New methods synthesize high-quality images from various viewpoints efficiently.

ReSyncer improves video quality and flexibility for lip movements synchronized to audio.

DaVE offers examples to help visualize complex data effectively.

Enhancing virtual agent interactions through spatially aware gestures.

Learn how sprite decomposition simplifies video editing tasks.

New methods aim to run powerful models on limited hardware efficiently.

Exploring improved devices for better interaction with large language models.

A powerful simulator designed to enhance self-driving car training through rapid scenario generation.

Triangular Input Movement enhances efficiency in convolutional neural networks.

A new model aligns programming with neuromorphic hardware for better efficiency.

A look at how Graph Neural Networks operate and their significance.

A new system enhances emergency management in cities facing infrastructure challenges.

MetaWearS improves wearable devices with efficient updates and less data.

FOVAL improves autofocal glasses' accuracy and usability without constant calibration.

A VR simulation highlights obstacles faced by individuals with disabilities.

Using auditory alerts to combat misinformation in podcast content.

Exploring improved devices for better interaction with large language models.

Exploring the role and challenges of LLMs in knowledge engineering.

A new tool helps users learn to read complex network visualizations.

A new tool for evaluating algorithmic thinking skills in Swiss schools.

A method to visualize and understand train delays in busy rail systems.

A new method aims to enhance recommendations in changing data environments.

Discover the role of visual metaphors in explaining scientific concepts.

A new method enhances privacy for facial images while retaining quality.

A new framework enhances evaluation of RAG systems in specialized domains.

SumRecom creates unique summaries based on user interests, addressing information overload.

A framework to tackle data noise in cross-modal retrieval techniques.

Improved recommendations through dialogue and knowledge graphs.

A look into the bi-encoder architecture and its new perspective for improved search accuracy.

Discover the role of visual metaphors in explaining scientific concepts.

This article presents a method to improve distributed gradient descent's resilience against worker corruption.

Holographic MIMO aims to improve signal transmission efficiency in evolving communication systems.

Explore how RIS can transform wireless communication quality and efficiency.

A new model improves communication and reduces power use in wireless control systems.

Learn how RIS are transforming communication systems for better efficiency and coverage.

Combining coded caching with MIMO systems enhances wireless data delivery efficiency.

New methods improve the analysis of code-based cryptography, enhancing security.

Learn about data dependencies and their importance in maintaining database integrity.

This article discusses recomposition's role in improving software verification processes.

A framework to reason about programming languages with recursion and randomness.

Learn how monitoring algorithms optimize condition checks for changing signals.

Exploring how embeddings transform information processing in machines.

Examining binomial chains in population dynamics during epidemics.

A look at nested conditions and their impact on graph transformations.

A method for automatic software bug fixing focusing on privacy and security.

A new framework improves understanding of complex time-series model decisions.

An overview of GenAI's influence on creative rights and fair use.

Neural networks improve design efficiency across various engineering fields.

A project using spiking neural networks for recognizing ASL gestures.

Exploring improved learning rates in neural networks for scientific computing.

FOVAL improves autofocal glasses' accuracy and usability without constant calibration.

A new benchmark evaluates methods for measuring representational similarity in machine learning.

A novel technique improves brain age prediction through advanced learning methods.

HOBOTAN efficiently tackles complex higher-order optimization problems using advanced computing techniques.

Learn how Restricted Function Spaces improve PDE solutions in Firedrake.

A new tool for efficient structural optimization using automatic differentiation.

A new heuristic enhances solution finding in MILP problems.

ideal.II makes using space-time methods in deal.II easier for engineers and scientists.

A new tool to improve predictions using deep learning and data assimilation techniques.

Analyzing the partitioning of a sphere into equal areas and its applications.

PySLSQP simplifies nonlinear programming with real-time visualization and automatic derivatives.

Examining influences on voter behavior and turnout rates in democratic elections.

Study reveals how self-emotions enhance virtual agents' dialogue and decision-making.

A new framework improves safety in self-driving cars through formal methods.

Study highlights how complexity affects cooperation and strategies in multi-agent reinforcement learning.

Exploring how values shape choices in social interactions.

ReDel helps AI agents work together on complex tasks efficiently.

This article discusses a method for improving decision-making among diverse agents.

This article examines how vehicles cooperate to improve traffic flow.

A look at strategies to tackle long-tailed data in machine learning.

A new method improves outlier detection in multi-view datasets with missing views.

A study on the challenges and solutions for hallucination in MLLMs.

A framework to tackle data noise in cross-modal retrieval techniques.

A new dataset supports better tools for detecting identity document fraud.

MMPKUBase provides over 52,000 Chinese subjects with rich images.

TEAdapter enhances music generation from text, providing users greater control and creativity.

A novel dataset and method enhance video grounding for complex narratives.

Exploring how Foundation Models can enhance telecom network management and optimization.

KTWIN simplifies the creation and management of Digital Twins for various industries.

Research reveals challenges and new methods for improving device privacy.

This article discusses how SDN improves IoT security amidst rising threats.

FL-E2WS optimizes federated learning in wireless networks while ensuring data privacy.

New methods enhance the accuracy of in-body nanodevices based on individual characteristics.

A tool to visualize and enhance community network performance.

A new framework enhances UAV and cloud server cooperation for better data processing.

A project using spiking neural networks for recognizing ASL gestures.

This study reveals how neural networks can accurately remember and reproduce spike patterns under varied conditions.

A new model aligns programming with neuromorphic hardware for better efficiency.

A study on the behavior of cellular automata and random networks regarding memory tasks.

A look at neural networks using detailed and simplified models.

A new approach enhances energy efficiency and processing speed in CNNs.

A novel approach encodes and reconstructs sensory signals using spike trains.

A novel algorithm on Loihi 2 shows promise for efficient QUBO problem-solving.

New method improves efficiency in fluid simulations, enhancing prediction accuracy.

Neural networks improve design efficiency across various engineering fields.

A study on fluid dynamics in elastic porous materials with real-world applications.

Explore key concepts of Grassmann, flag, and Stiefel manifolds and their applications.

Exploring the effects of fluid and mechanical interactions in fractured geological systems.

Research presents a model addressing phase separation in mixed materials with boundary effects.

This article discusses advancements in digital filters to reduce amplitude loss.

Discover how Local Binary Patterns enhance image texture analysis.

New framework for NPUs enhances resource sharing and reduces costs.

A novel method for analyzing cloud system performance through detailed simulations.

A new framework enhances task scheduling and timing in multi-threaded ROS 2 executors.

UBPF simplifies eBPF program management across diverse cloud environments.

CRISP safeguards cloud applications against rollback attacks, ensuring data integrity and security.

This article covers a system that manages communication between processes using sandboxes.

A new split OS design enhances cloud application performance and resource management.

Learn how explicit speculation boosts storage efficiency in applications.

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 powerful simulator designed to enhance self-driving car training through rapid scenario generation.

An analysis of popular Linux filesystems based on their performance with large file counts.

Tapis enhances job scheduling by predicting wait times for faster results.

A novel method for analyzing cloud system performance through detailed simulations.

A new framework uses AI to enhance Java performance testing accuracy and efficiency.

A guide for developers on memory power usage in high-performance computing.

A method for simulating fluid flow in complex environments.

Enhancing data processing speeds in high-performance Particle-in-Cell simulations.

A method for verifying programming languages for better reliability and correctness.

New techniques improve verification of complex computer programs for reliable performance.

Analyzing vulnerabilities in popular code completion tools and their implications for developers.

A new framework simplifies compiler processes for tensor accelerators using LLMs.

Learn how to use Haskell for relational programming to handle data efficiently.

Combining HW-NAS and ACO for efficient neural networks.

New ownership model improves memory management and verification in low-level languages.

A framework to reason about programming languages with recursion and randomness.

Learn how to optimize search paths for locating objects efficiently.

A new method improves analysis of complex systems using streaming data.

DiM-Gesture creates realistic gestures synchronized with speech for digital interactions.

Exploring improved devices for better interaction with large language models.

Exploring AI tutors' role in enhancing robotics education through advanced techniques.

TURTLMap enhances UUV navigation and mapping in low-visibility underwater environments.

SceneMotion improves predictions for self-driving cars by considering agent interactions.

This method improves planning efficiency using predictions and adaptive action models.

A new method aims to enhance recommendations in changing data environments.

Study reveals gaps in representation for marginalized users of Stable Diffusion.

Examining the ongoing gender gaps in scientific fields and strategies for improvement.

A new method enhances graph clustering accuracy and efficiency.

A look at the importance and impact of betweenness centrality in various networks.

A look at how Ideal Flow Networks simplify and optimize various systems.

A fresh approach to studying complex socioeconomic systems using machine learning and traditional models.

Analyzing urban mobility data raises critical privacy concerns for researchers.

Tipping enhances log parsing efficiency and accuracy for better software analysis.

A new method for testing quantum programs improves reliability and efficiency.

A look into MLOps practices for effective AI integration.

This study reviews ChatGPT's usability in enhancing software security practices.

Explore common issues faced by users in smart home automation setups.

This article examines human-centric defects in software and suggests improvements for reporting.

This article discusses how SDN improves IoT security amidst rising threats.

A new method improves bug fixing speed and efficiency in software development.

Research on new models improves audio quality in film and television.

DiM-Gesture creates realistic gestures synchronized with speech for digital interactions.

Analyzing a child's sounds reveals crucial stages of language growth.

New methods for better control of RNNs enhance audio effect simulations.

MulliVC transforms voices across languages with impressive accuracy and clarity.

A system enabling voice authentication in multiple languages for mobile devices.

TEAdapter enhances music generation from text, providing users greater control and creativity.

A new framework enhances machine sound detection using active learning techniques.

A look into polynomial handling with Lean's features and challenges.

A new approach to event prediction using dynamic causal rules and dual history contexts.

BMLP improves datalog query evaluation using boolean matrices for better performance.

New methods improve spacecraft trajectory predictions through better uncertainty management.

Discover how active learning optimizes experiments in biological research.

This article discusses challenges in calculating three-loop form factors in particle physics.

A new approach to find ODEs using active data collection techniques.

Exploring the methods and challenges of polynomial factorization and verification.

A new method improves analysis of complex systems using streaming data.

A new method estimates bound water during freeze drying, improving vaccine stability.

A look at how agents solve optimization problems together using gradient-push.

A new method for optimizing wind energy production while reducing noise pollution.

Explore common issues faced by users in smart home automation setups.

Exploring effective methods for energy demand forecasting in a changing climate.

A new approach enhances UAV communication for tracking moving targets.

A new algorithm improves privacy and efficiency in federated learning using second-order methods.