Computer Science

A new approach to coreference resolution that balances performance and resource use.

CCA Merge enhances model performance by effectively combining unique features from different models.

This article discusses a new query language for understanding complex beliefs in knowledge graphs.

New method simplifies video generation using existing image models without extensive training.

SliSum improves accuracy and consistency in text summarization using innovative techniques.

RagLLaVA enhances multimodal models, improving accuracy in complex data tasks.

A new model enhances 3D shape creation and manipulation techniques.

Wav2graph creates knowledge graphs from spoken language for improved AI understanding.

A new approach to coreference resolution that balances performance and resource use.

SliSum improves accuracy and consistency in text summarization using innovative techniques.

RagLLaVA enhances multimodal models, improving accuracy in complex data tasks.

Wav2graph creates knowledge graphs from spoken language for improved AI understanding.

Two methods enhance how models analyze medical images for better diagnosis.

A new method improves multi-task learning in language models by sharing knowledge.

Examining the impact and risks of large language models on society.

Speech-MASSIVE aims to enhance spoken language understanding in various languages.

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.

CCA Merge enhances model performance by effectively combining unique features from different models.

New method simplifies video generation using existing image models without extensive training.

New dataset offers insights into road surface types and their conditions.

A new method enhances video forecasting by separating scene elements for better predictions.

This article discusses enhancing thermal point clouds using detailed building models.

New method enhances vehicle tracking using detailed 3D building models.

Assessing the quality of AI-generated videos for improved content creation.

Discover how mood and visuals can enhance AI predictions.

Discover how mood and visuals can enhance AI predictions.

The article explores gender differences in patent success, focusing on innovation types.

Improving data quality through collaborative efforts in the annotation process.

Exploring the need for effective regulation of advanced AI systems.

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.

Learn about the risks of smart locks and how to enhance your security.

DP-BloGS improves data privacy in machine learning while maintaining performance.

Innovative techniques protect sensitive speech data while maintaining processing accuracy.

This paper examines the effectiveness of current machine unlearning verification methods.

Examining the real-world attacks on Learning with Errors-based cryptosystems.

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.

Exploring methods and algorithms for finding paths in weighted graphs.

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.

This article discusses a new query language for understanding complex beliefs in knowledge graphs.

A new method for detecting anomalies in temporal knowledge graphs.

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.

The article explores gender differences in patent success, focusing on innovation types.

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.

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.

A new framework addresses cold starts in serverless computing through shared warm pools.

A framework enhances energy management in large language models while maintaining performance.

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.

Discover how LiDAR and aerial imagery measure object heights effectively.

Quantum Leaky Integrate-and-Fire neurons offer new possibilities for efficient data processing.

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.

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.

A new model enhances 3D shape creation and manipulation techniques.

Discover a new method for quick and quality image editing.

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.

Blink offers a faster way to design power monitoring systems, improving efficiency.

A framework enhances energy management in large language models while maintaining performance.

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.

Local networks support small businesses in using generative AI for success.

New study examines how indoor environments impact personal comfort and well-being.

This article discusses recruiting teens for research through Peachjar and its challenges.

Study reveals how gridlines improve comparisons in line charts.

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.

ABCDE offers a new way to assess clustering methods efficiently.

Wav2graph creates knowledge graphs from spoken language for improved AI understanding.

PERSOMA uses efficient user history management for better language model personalization.

New strategies enhance how we retrieve products based on user reviews.

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.

CF-mMIMO offers a new approach to secure wireless monitoring.

The integration of RIS and SWIPT enhances energy efficiency in IoT devices.

Exploring constacyclic BCH codes for effective quantum error correction.

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.

A new method improves reliability of Bayesian networks in critical fields.

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.

CCA Merge enhances model performance by effectively combining unique features from different models.

RagLLaVA enhances multimodal models, improving accuracy in complex data tasks.

Introducing Mamba Hawkes Process for better insights into event timing.

Wav2graph creates knowledge graphs from spoken language for improved AI understanding.

A new framework for optimizing complex geodesic convex problems in various fields.

Discover how mood and visuals can enhance AI predictions.

Two methods enhance how models analyze medical images for better diagnosis.

A new method improves multi-task learning in language models by sharing knowledge.

A new framework for optimizing complex geodesic convex problems in various fields.

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.

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.

StarCache improves data access speed and efficiency in modern networks.

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 model enhances image classification for low-power devices.

Quantum Leaky Integrate-and-Fire neurons offer new possibilities for efficient 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 study on improving solutions for boundary conditions in mathematics and engineering.

Techniques for simplifying mathematical models while retaining key features.

Learn about Modified Patankar methods for solving complex material processes.

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.

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.

Discover how Koopman operators improve robot learning and adaptability.

New method enhances vehicle tracking using detailed 3D building models.

Discover how mood and visuals can enhance AI predictions.

SuperVINS enhances robot navigation with deep learning techniques for improved mapping.

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.

The article explores gender differences in patent success, focusing on innovation types.

Y Social uses digital twins to analyze online interactions and user behavior.

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.

Ongoing compliance is vital for modern software development and security.

C3 enhances the clarity of automated test inputs for better code understanding.

This article discusses a method to create PR descriptions automatically.

A new method speeds up software testing by focusing on web page segments.

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.

Wav2graph creates knowledge graphs from spoken language for improved AI understanding.

Speech-MASSIVE aims to enhance spoken language understanding in various languages.

Innovative techniques protect sensitive speech data while maintaining processing accuracy.

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.

Learn how math aids in understanding chemical reactions and their interactions.

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.

Discover how Koopman operators improve robot learning and adaptability.

Examining privacy concerns with task-oriented communication in the upcoming 6G technology.

This article discusses clustering in vehicular networks with UAVs for better communication.

New method enhances modal analysis accuracy and efficiency for complex structures.

This article discusses the significance of detecting anomalies in time-series data across industries.

A new framework improves interaction and personalization for metaverse users.

New control method improves positioning accuracy in lithographic systems for semiconductors.

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