Computer Science

This article investigates how linguistic features can help identify truthfulness in AI responses.

Introducing a joint framework for improved entity and relation extraction using semi-supervised learning.

Exploring methods for better text representations in technical documents.

New method enhances clarity in language model predictions.

A new framework enhancing speed and privacy in natural language generation.

TEMP improves chatbot safety by automating response selection.

TransWorldNG offers realistic traffic simulations using real-world data and innovative techniques.

This study showcases how knowledge distillation enhances model performance and understanding.

Researchers organize and analyze handcrafted features for better language processing.

This article investigates how linguistic features can help identify truthfulness in AI responses.

Introducing a joint framework for improved entity and relation extraction using semi-supervised learning.

Exploring methods for better text representations in technical documents.

New method enhances clarity in language model predictions.

Exploring ASR performance across different accents and its implications.

Innovative model enhances language identification for Romanized Indian languages.

A new framework enhancing speed and privacy in natural language generation.

Local search methods provide effective solutions for graph partitioning challenges.

A look into the Closest String problem and its applications in various fields.

Celebrating the life and impact of Ted Swart on his students and colleagues.

A breakdown of bucket elimination and its role in solving satisfiability challenges.

This article examines the difficulties in quickly simulating Hamiltonians in quantum systems.

A look at the role and efficiency of dictionaries in data management.

A look into the Steiner Tree problem and its applications across various fields.

An overview of quantum Kolmogorov complexity and its role in quantum correlations.

A new method improves car design evaluations through 2D representations.

This study presents innovative techniques for analyzing brain activity via fMRI.

A new method merges machine learning with finite element analysis for thermoelasticity.

This method simplifies design while enhancing manufacturing efficiency.

Researchers improve heat transfer analysis using GPUs and DSL for faster calculations.

New tools simplify FEM, making it easier to tackle complex shapes.

A new approach to maximize profits from battery storage in renewable energy markets.

A new method improves stock trading predictions using synergistic alpha factors.

TrueKNN improves neighbor search by dynamically adjusting the search radius.

A method for analyzing complex point data using 2-complex structures.

A look into the Closest String problem and its applications in various fields.

A new method enhances how we process complex data by recognizing symmetries.

AUC-opt aims to enhance the Area Under the ROC Curve for classification models.

A look into the Steiner Tree problem and its applications across various fields.

A new method enhances how we compare geometric graphs efficiently.

A novel approach to efficiently list paths on polyhedral surfaces.

A new approach to content ranking enhances stability for publishers and users.

Examining the impact of preference averaging in AI decision-making ethics.

A model for enhancing user satisfaction through strategic information sharing.

Study on agents' strategy improvement through non-Markovian rewards in competitive settings.

A systematic algorithm examines process behaviors, including silent actions for better analysis.

This article explores how language models enhance AI's strategic reasoning in games.

Learn how machine learning boosts online allocation efficiency.

Examining how delays impact strategies in competitive games.

A new system enhances diagnostic accuracy and efficiency in medical imaging.

A new method enhances HER2 staining consistency for better breast cancer diagnosis.

We present a method to retrieve motion data using natural language queries.

A new method for precise image editing using text prompts.

New AI model improves understanding of decision-making processes.

This study showcases how knowledge distillation enhances model performance and understanding.

3D style transfer adapts scenes using text styles for unique designs.

DiffKD enhances smaller models by filtering noise from larger teacher models.

Generative AI complicates digital risk management amidst growing fraud schemes.

Examining the impact of preference averaging in AI decision-making ethics.

Exploring the two-faced nature of language in society.

This article analyzes the portrayal of non-cisgender identities in image generation technologies.

Internal audits are crucial for managing risks in AI labs effectively.

A new approach to align AI language models with societal norms through simulated interactions.

A study reveals how Twitter's ranking system influences user feelings and political views.

Reforming public health to improve response to future health crises.

Exploring lattice-based cryptography's potential against quantum computing threats.

vFedSec offers secure, efficient training for machine learning models in federated settings.

A new model enhances vulnerability detection accuracy using deep learning techniques.

Achieving interoperability among CBDCs to enhance transactions and trust in the financial system.

Exploring tools for clearer evidence evaluation in cryptocurrency crime investigations.

Research reveals the impact of selfish miners on DAG blockchain efficiency.

A new approach for secure messaging without revealing sender or receiver identities.

Examining the trust and ethics surrounding protestware in open source software.

Local search methods provide effective solutions for graph partitioning challenges.

A look at new encoding methods for better data privacy.

DotHash improves set similarity estimation, offering fast and accurate results for large datasets.

New findings in mathematics reshape our understanding of random vectors.

A look into the Closest String problem and its applications in various fields.

Learn efficient methods to estimate key graph parameters in sparse graphs.

New clustering models improve data analysis by handling overlaps and noise.

A new decoder improves quantum error correction speed and efficiency.

Combining global and local merging techniques to improve data quality management.

Learn efficient methods to estimate key graph parameters in sparse graphs.

Introducing Alpha+++, a refined algorithm for better process discovery.

CardIndex combines indexing and cardinality estimation for faster, resource-efficient data handling.

AdapterEM enhances entity matching across diverse data formats efficiently.

A new system allows engineers to query space debris information using plain language.

Improving data discovery through innovative profiling and join quality assessment techniques.

ITR improves graph storage and query speed significantly.

A new approach helps researchers find relevant datasets using natural language.

A new method enhances the search for physical archival materials.

This article examines how citation habits in NLP have evolved over time.

A study on improving peer review quality through innovative assignment evaluation methods.

DeepScribe project enhances cuneiform tablet transcription using advanced machine learning techniques.

Orphan articles hinder knowledge access on Wikipedia, affecting visibility and representation.

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

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

This paper examines the relationship between graphs and surfaces through map homomorphisms.

Explore the unique structure of -representations and their links to automata.

New findings in mathematics reshape our understanding of random vectors.

Exploring a novel model using group structures to analyze graph relationships.

A new method enhances routing and scheduling in time-dependent networks.

A look into the mechanics and applications of spiking neural networks.

New insights into Lee metric codes enhance data protection and error recovery.

A study on Hitting Set algorithms and their average performance.

Collaborative UAV systems improve real-time data processing efficiency for various tasks.

A new method for verifying communication protocols in multiparty systems using automata.

Examining the links between persistent homology and directed spaces for concurrent programs.

A look into how smart cities manage resources while meeting strict limits.

GOC-Ledger simplifies digital asset management without consensus, offering speed and cost benefits.

Achieving interoperability among CBDCs to enhance transactions and trust in the financial system.

Exploring federated learning and the interior point method for effective model training.

A new system enhances GNN training speed using adaptive kernels for different graph sections.

New analog systems use light for faster, energy-efficient information processing.

Discover how quantum computing enhances clustering methods for better data analysis.

A new quantum algorithm speeds up power generation scheduling amid rising energy demands.

Examining how quantum computing enhances radar technology through ISLR optimization.

Memory-centric computing changes data processing by moving computation closer to data storage.

Exploring how the Zeno effect enhances Grover's algorithm for faster data searching.

Discover how dynamical Ising machines enhance problem-solving in complex optimization tasks.

TornadoQSim offers a modular framework for efficient quantum circuit simulations.

A new method for verifying communication protocols in multiparty systems using automata.

New live programming tools aim to simplify software modeling and enhance user experience.

Explore the unique structure of -representations and their links to automata.

Introducing a new model for effective real-time systems verification.

A new method for learning timed automata focusing on timing constraints.

Examining how delays impact strategies in competitive games.

Analyzing the role of decisiveness in Markov chains and probabilistic models.

chemSKI uses graphs and local rules to model complex systems efficiently.

Focus on audience experience to create engaging animations.

A new method to speed up ray tracing rendering significantly.

New methods improve 3D reconstruction of reflective surfaces using neural rendering techniques.

Exploring the walk-on-boundary method for efficient boundary value problem solutions.

Introducing a reliable method for assessing NeRF performance and quality.

Discover how neural path tracing and IPUs enhance graphic rendering.

A new method improves realism in character interactions within virtual spaces.

A fresh approach to generate high-quality animations from limited examples.

Learn how dual-threaded processors enhance performance in various applications.

A new approach for running X3D model on FPGAs for efficient video analysis.

A new architecture improves MK polar code encoding for efficient communication.

A look at the benefits of heterogeneous SoCs for modern computing tasks.

RowHammer threatens data integrity in high-bandwidth memory systems.

An innovative hardware design for real-time learning in spiking neural networks.

A new tool enhances the efficiency of 3D CNNs on FPGA platforms.

Memory-centric computing changes data processing by moving computation closer to data storage.

A new system aids experts in managing urban planning and renaturation projects efficiently.

A new approach to align AI language models with societal norms through simulated interactions.

Examining the AMS algorithm's impact on job-seeker evaluations and public opinion.

Study reveals how UXPs can better collaborate using AI tools.

This study focuses on enhancing communication to improve road safety at intersections.

ReSup improves emotion recognition by effectively handling noisy labels.

A new method enhances dialogue models for better interaction in mental health support.

Examining how AI systems influence human decision-making and agency.

A new method for creating unique music versions by rearranging existing pieces.

This article discusses methods to enhance document relevance in sparse data environments.

A new approach to content ranking enhances stability for publishers and users.

A dataset designed to improve interactions between customers and salespeople in stores.

DotHash improves set similarity estimation, offering fast and accurate results for large datasets.

A new algorithm aims to improve fairness alongside relevance in ranking systems.

A new approach helps researchers find relevant datasets using natural language.

A new benchmark evaluates generative retrieval performance in changing information environments.

A new framework enhances vertical federated learning efficiency and privacy using Cloud-RAN technology.

New algorithms improve solutions for linear inverse problems in signal and image recovery.

Exploring feedback innovations to enhance 5G communication performance and reliability.

A method to count polar codewords with weights greater than the minimum.

A look at new encoding methods for better data privacy.

A new method improves data transmission efficiency by reducing pilot signals.

Exploring methods to improve image coding for advanced AI applications.

Insights into industry connections and economic impacts in the Netherlands.

Explore the advantages of automatic program instrumentation for software correctness verification.

An overview of premonoidal categories and their role in optics and computation.

Learn how collages of string diagrams clarify complex interactions in mathematics.

MeTTa aims to unify programming for humans and AGIs.

Examining the links between persistent homology and directed spaces for concurrent programs.

Combining global and local merging techniques to improve data quality management.

Explore the challenges and solutions for concurrent programs in weak memory models.

A study on the Responsibility-Sensitive Safety model for self-driving vehicles.

A new system enhances diagnostic accuracy and efficiency in medical imaging.

New methods improve understanding of superfluid states and particle interactions.

New tools enhance research on animal behavior and conservation efforts.

New method improves Bayesian inference, tackling challenges of complex data.

Researchers organize and analyze handcrafted features for better language processing.

A new method enhances HER2 staining consistency for better breast cancer diagnosis.

Exploring methods for better text representations in technical documents.

Collaborative UAV systems improve real-time data processing efficiency for various tasks.

Blendstrings provide smooth, accurate function representations in various fields.

New methods for matrix multiplication improve speed and energy efficiency.

New methods enhance MPI Alltoallv communication for improved FFT performance.

Discover how FPGA technology improves high-precision matrix multiplication.

Learn about function calculus and its real-world applications.

SpComp enhances efficiency in sparse matrix calculations through smart optimization.

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

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

Multi-robot systems improve efficiency and reliability across various fields.

A look into how smart cities manage resources while meeting strict limits.

Generative agents are improving AI's ability to tackle complex tasks through dual-process thinking.

Study on agents' strategy improvement through non-Markovian rewards in competitive settings.

Federated learning improves model training while keeping user data private.

This study examines synchronization in networks with changing connections over time.

Combining Bayesian methods with differentiable models can enhance agent-based modeling.

Learn how sellers can enhance auction outcomes with support information.

A new method for creating unique music versions by rearranging existing pieces.

A dataset designed to improve interactions between customers and salespeople in stores.

Introducing a modular method for zero-shot visual question answering.

A new method to better organize task steps with video insights.

Improving metrics for assessing deblurring methods using a new dataset.

A new method enhances vision-language models through real-time feedback for better performance.

New models enhance the detection of fake news using diverse data techniques.

Occ-BEV enhances vehicle perception through multi-camera 3D modeling and data integration.

A new approach uses Graph Neural Networks for better user pairing in wireless systems.

This study explores how network operators adapted during the Russia-Ukraine conflict.

Digital twins improve the management of satellite and drone communication networks.

A new framework enhances the detection of cyber attack paths.

T800 offers an efficient security solution for vulnerable IoT devices.

New models improve air-to-ground communication using federated learning and generative neural networks.

Generative models help address challenges in satellite communication by creating synthetic data.

Improving communication systems for connected and autonomous vehicles to boost traffic flow.

New method improves Bayesian inference, tackling challenges of complex data.

A new model enhances understanding of belief systems in human cognition.

Examining the Forward-Forward algorithm and its potential to mimic biological learning.

EfficientLIF-Net reduces memory costs in SNNs while maintaining performance.

Learn how DT-SNN improves efficiency in neural networks.

Researchers use brain data to enhance AI learning and adaptability.

Explore NE-MOEA, a non-elitist method for solving multi-objective problems efficiently.

A new method predicts neural network performance using only weight parameters.

New algorithms improve solutions for linear inverse problems in signal and image recovery.

This article discusses the use of Physics-Informed Neural Networks in solving quantum mechanics problems.

Explore the continuous AAA algorithm and its benefits in various fields.

A look at using least-squares methods to understand heat equations.

A look at the new -Chebyshev functions and their applications.

A novel approach improves solution finding for nonlinear differential equations across various fields.

A new method enhances the calculation of transport coefficients in molecular dynamics.

A new method enhances accuracy in eigenvalue problems by analyzing multiple situations.

New method improves resource allocation for users with changing needs.

DVFO enhances energy efficiency and processing speed for edge devices in IoT.

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.

A new methodology enhances teamwork between software and hardware developers for better performance.

Reassessing how we classify and understand sequential circuits.

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.

TrueKNN improves neighbor search by dynamically adjusting the search radius.

Introducing the Multiple Comparison Matrix for clearer algorithm evaluation.

Learn how CPU-GPU systems improve fluid dynamics simulations.

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.

A new method for verifying communication protocols in multiparty systems using automata.

Explore the challenges and solutions for concurrent programs in weak memory models.

Exploring term rewriting in parallel computation for efficient data processing.

Colored e-graphs improve logical reasoning by reducing memory use and increasing speed.

This paper presents a formal model for secure computations in C language.

A superoptimizer improves SIMD instruction performance in LLVM, boosting program efficiency.

A new graph representation enhances how machine learning analyzes programming languages.

FreeCHR offers a uniform approach to Constraint Handling Rules across programming languages.

Multi-robot systems improve efficiency and reliability across various fields.

This study evaluates drone performance amid actuator failures.

New methods improve safety in robotics and autonomous vehicles.

CYRUS improves player positioning using machine learning to handle noisy sensor data.

AcroMonk mimics brachiation, showcasing a simple yet effective robotic design.

New IBVS method enhances docking accuracy for unmanned aerial vehicles.

Generative agents are improving AI's ability to tackle complex tasks through dual-process thinking.

Robots learn delicate object handling through model-free reinforcement learning.

DotHash improves set similarity estimation, offering fast and accurate results for large datasets.

A study reveals how Twitter's ranking system influences user feelings and political views.

Examining how hurricanes shape discussions on climate change through social media.

Efficient summarization of Stack Overflow posts using deep learning techniques.

Study reveals patterns of family interactions in U.S. cities amidst rising populations.

How political beliefs shaped conversations during the COVID-19 pandemic.

This article examines methods for identifying and classifying hate speech on social media.

Exploring how memes reflect views on Singapore's Total Defence policy.

A new system improves incident resolution through automated root cause analysis.

Explore the advantages of automatic program instrumentation for software correctness verification.

Study investigates how documentation styles aid newcomers in grasping software architecture.

Learn how self-efficacy impacts software developers' performance and team dynamics.

This study examines the role of human values in software engineering and user experience.

Efficient summarization of Stack Overflow posts using deep learning techniques.

Examining the trust and ethics surrounding protestware in open source software.

Learn how ART and LSH-ART improve software testing efficiency and fault detection.

Exploring ASR performance across different accents and its implications.

A new method for creating unique music versions by rearranging existing pieces.

A new system enhances speech generation with high-quality outputs.

A new model improves voice recognition accuracy during emotional speech.

Learn how to effectively use FM and PM in sound design.

A novel method improves speech recognition tasks using less labeled data.

This article examines recent improvements in creating written audio descriptions.

Efficient audio recognition technology designed for low-power television devices.

A method combining symbolic reasoning and neural networks for better decision making.

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

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

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

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

A look at how algebraic simplifiers enhance software reliability.

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

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

A new method predicts network robustness efficiently using deep learning techniques.