Computer Science

Examining the tradeoffs in AI language model performance and user safety.

Enhancing knowledge bases using language models and textual entailment for accuracy.

A novel approach to understanding mental health through social media summaries.

A new method improves rule learning by linking smaller rules effectively.

A study on the impact of LLMs in university software engineering courses.

LLaMandement helps French public servants summarize legislative proposals efficiently.

This study explores generalizing learned constraints in ASP for better performance in dynamic problems.

Introducing SERL: A new framework for efficient robot learning tasks.

Examining the tradeoffs in AI language model performance and user safety.

Enhancing knowledge bases using language models and textual entailment for accuracy.

A novel approach to understanding mental health through social media summaries.

LLaMandement helps French public servants summarize legislative proposals efficiently.

The impact of language on gender stereotypes in image generation technologies.

This study examines LLMs' impact on mental health app effectiveness.

Advanced tools help refine negotiations by correcting social rule breaches.

This method enhances coding accuracy through reusable function learning and refactoring.

A guide to quantum error correction methods, focusing on the surface code.

Examining recent improvements in communication protocols and their combinatorial implications.

Investigating soldier positioning strategies across various graph types.

This study examines decision problems in quantum graphs, connecting classical and quantum complexity.

Examines the complexity of key graph problems with specific parameters.

This research examines the efficiency of backward computation in training language models.

An overview of optimal strategies in deterministic game settings.

Exploring the link between nearest neighbor representations and Boolean functions in machine learning.

A new optimization method for efficient district heating network design.

Using data analysis to identify promising startups before investment.

Graph Multi-Similarity Learning enhances drug discovery through flexible molecular relationships.

A new method improves stability in Smoothed Particle Hydrodynamics simulations of materials.

Research focuses on enhancing coiling methods to treat cerebral aneurysms safely.

Exploring the role of large language models in molecular science.

A method to enhance fluid-flow device performance through innovative design strategies.

NITO offers a faster, adaptable method for optimizing material distribution in engineering designs.

A new method enhances quadrilateral mesh generation with integrable frame fields.

This article discusses how to find the smallest round area covering points in a polygon.

A new approach for creating flexible and user-refined polycube layouts in 3D modeling.

Coresets enable efficient computation in machine learning while maintaining accuracy.

This article explores challenges and methods in visibility-based search for efficient route planning.

A new framework improves the clarity and scalability of graph visualizations.

A look into Hartigan's method and its role in clustering.

Introducing message detouring for improved graph cycle representation.

This study shows how AI can predict human decision-making in economic scenarios.

An overview of multi-agent learning and strategies for better cooperation.

This study offers solutions for distributing items based on shared preferences.

Strategies to enhance decision-making in cooperative environments with incomplete information.

A study on efficient task assignment while considering budgets and conflicts.

A look at how agents adapt and learn in dynamic environments.

A new method enhances coordination without complete visibility in team settings.

A new model enhances engagement by addressing user and creator needs.

Study uses satellite data to monitor drought impacts on the Rio Negro.

A novel approach enhances human movement tracking using multiple cameras.

LLaVA-MoLE enhances multimodal models by using expert routing for better performance.

A helpful tool for identifying accessibility issues in daily life.

A look into Mixture-of-Experts and the role of routers in model efficiency.

AI transforms how we diagnose and treat diseases in pathology.

CLOTH enhances knowledge transfer between datasets through innovative techniques.

MoE-LLaVA combines images and text using an efficient model structure.

Examining biases in predictive models for real estate pricing using geospatial data.

The impact of language on gender stereotypes in image generation technologies.

Examining the fairness of recommendations made by algorithms after negative outcomes.

Analyzing how red-teaming can enhance AI safety and address potential risks.

Examining security threats in machine learning-enabled medical devices and their impact on patient safety.

A new method improves privacy and accuracy in data-driven models.

Exploring how digital tools can enhance citizen engagement and trust in democracy.

This study analyzes how LLMs can forecast AI's possible harms.

Explore the impact of liquid staking on decentralized finance.

Exploring challenges and solutions for safeguarding smart grids from data attacks.

Instiller improves CPU fuzz testing with efficient techniques and better bug detection.

MobFuzz enhances fuzz testing with multi-objective optimization for better software security.

Exploring the role of LLMs in enhancing cybersecurity and their potential misuse.

Discover how Bitcoin inscriptions are changing the landscape of digital assets.

opML combines machine learning and blockchain for better AI services.

Post-Quantum Cryptography is crucial for securing future IoT devices.

A new algorithm enhances analysis of complex systems in business processes.

Examining how errors impact knowledge accumulation and the importance of checks.

This paper highlights methods for analyzing relationships in structures.

New protocols enhance document review fairness and privacy in legal cases.

Research explores a method to form complex shapes with simple tiles.

An algorithm for estimating diffusion degree in real-time graph streams.

Anticipating future events shapes decisions in daily life and technology.

A framework that merges machine learning and approximation algorithms for NP-hard problems.

A system to streamline data collection on superconductors for improved research accuracy.

Unlocking the potential of graph databases with advanced query optimization techniques.

A new dataset reveals insights into the use of pre-trained models in software projects.

Human Digital Twins offer a digital view of individuals, enhancing healthcare and sports.

Learn how to minimize regret in billboard ad spaces.

Discover how Object Graph Programming simplifies data handling in software development.

VDMS upgrades streamline visual data processing for efficient query handling.

Examining the importance of data engineering for successful AI systems.

Enhancing knowledge bases using language models and textual entailment for accuracy.

A look into how citation models can improve understanding of research impact.

Transforming scanned documents into usable text through error correction.

Examining how publication types shape aging research in genetics.

DEAN uses deep learning to automatically identify outdated information in knowledge graphs.

New analysis reveals inaccuracies in claims about reduced innovation in scientific papers and patents.

Analyzing trends and key contributors in quantitative finance from arXiv papers.

Examining the importance of data engineering for successful AI systems.

Discover how digraphs relate to matrix determinants and their applications.

An overview of unique graph structures and their implications.

Exploring the role of oriented hypergraphs in modeling complex chemical interactions.

This study offers solutions for distributing items based on shared preferences.

Exploring the properties and applications of directional segment graphs in mathematics.

Investigating soldier positioning strategies across various graph types.

A look into methods for measuring preference diversity in voting frameworks.

A study of overlaps and their role in the Exact Cover Problem.

Discover how Bitcoin inscriptions are changing the landscape of digital assets.

Learn how BCM-Broadcast maintains clear messaging in mobile networks.

Exploring the limitations and capabilities of opaque robot models in swarm computing.

Learn about Service Level Agreements and their impact on service quality.

A new approach enhances federated learning by addressing slow clients effectively.

A look at how MP-SL aids devices in machine learning while ensuring privacy.

A closer look at the performance and challenges of large language models in practice.

BlackMamba combines state-space models and mixture of experts for efficient language tasks.

Exploring efficient methods to tackle complex optimization problems using tensor networks.

A guide to crafting clear and effective academic papers.

Research explores a method to form complex shapes with simple tiles.

Discover how quantum tools change music creation and performance.

A new method leveraging photonics for efficient deep learning.

A new quantum approach offers secure and efficient scalar product computation.

This article examines quantum forgery attacks on encryption schemes COPA, AES-COPA, and Marble.

A new algorithm enhances quantum learning with imperfect data.

An overview of regular languages and how they can be combined.

New method determines separability of VASS reachability languages.

A new approach to measure responsibility in AI models using game theory.

A new method improves system design for safety-critical applications.

A look at tree transducers and their role in data transformation.

This article examines how random changes affect the complexity of language recognition in automata.

An overview of distributed systems, synchronization, and safety methods.

Exploring the sliding window model for regular languages in data streams.

Multisource holography reduces speckle noise and improves image quality in holography.

A new method allows users to easily edit and replace objects in 3D scenes.

A new method improves simulation of soft object interactions.

A new approach for creating flexible and user-refined polycube layouts in 3D modeling.

A flexible method for creating unique indoor environments through text descriptions.

This work enhances rendering accuracy using NeRF for realistic object representations.

A new approach streamlines hand motion adaptation for various applications.

A new method for generating realistic PBR materials using RGB image models.

Harnessing energy efficiency in industrial systems for optimal performance and sustainability.

Examining the evolving relationship between DRAM producers and consumers.

Learn how ACADL simplifies modeling for AI hardware accelerators.

Effective strategies to manage leakage errors for better quantum performance.

HEANA accelerates CNN tasks with improved speed and energy efficiency.

Exploring how MRRs are reshaping computing for deep learning tasks.

A study on improving task mapping in CGRAs using SAT methods.

Examining the energy efficiency issues in training AI systems and potential solutions.

A helpful tool for identifying accessibility issues in daily life.

Analyzing how red-teaming can enhance AI safety and address potential risks.

ChatMPC allows users to personalize robots through real-time natural language interactions.

Discover how spatial computing shapes our interactions with the digital world.

This study shows how AI can predict human decision-making in economic scenarios.

This research explores how altered feedback enhances sEMG gesture classification learning.

A method for better gesture recognition using muscle signals.

This study connects query performance, presentation, and user satisfaction in information retrieval.

A new algorithm enhances analysis of complex systems in business processes.

A new method for more accurate recommendations by focusing on item-level characteristics.

New unbounded language model improves predictions using extensive data.

This study connects query performance, presentation, and user satisfaction in information retrieval.

A new model aims to improve fairness in recommendation systems while maintaining accuracy.

Introducing a fresh approach to assess retrieval systems using LLMs and question banks.

New protocols enhance document review fairness and privacy in legal cases.

A study examines the performance and biases of AI language models globally.

Discover a structured approach to sampling in statistical models with Chebyshev particles.

A study on how signal strength affects user experience in wireless networks.

Explore how quantum mechanics reshapes information processing and communication.

A new method improves signal quality in satellite-terrestrial networks.

A new approach combines energy harvesting with federated learning for better battery management.

Examining the need for efficient real-time communication systems.

A look into error-correcting codes in quantum computing.

Tropical group testing offers detailed outcomes for detecting defects efficiently.

A new ILP system improves logic program learning by focusing on key subprograms.

A new method improves rule learning by linking smaller rules effectively.

Exploring basic behaviors and their significance in system modeling.

An innovative approach to analyzing security protocols using graph-embedded term rewriting systems.

Introducing Z3alpha, a new method for SMT strategy generation using Monte Carlo Tree Search.

A study of block-ordered relations and their connections through diagonals.

This paper highlights methods for analyzing relationships in structures.

A look at relations, their properties, and practical applications.

Integrating risk considerations into reinforcement learning enhances decision-making safety.

A new ILP system improves logic program learning by focusing on key subprograms.

This research examines optimization guarantees of unfolded networks in machine learning.

A new method improves rule learning by linking smaller rules effectively.

Examining biases in predictive models for real estate pricing using geospatial data.

This study questions the preference for AUPRC over AUROC in imbalanced datasets.

BooleanOCT enhances classification tree accuracy while maintaining clarity in predictions.

A look into tree-based varying coefficient models for better data insights.

New algorithm improves analysis of complex datasets for researchers.

Learn how long memory influences predictions in various fields.

A user-friendly library for tensor simulations in physics.

A practical guide to the QuadratiK package for spherical data analysis.

A look at numerical computation and its applications in various fields.

A new framework aims to improve DSL interoperability and efficiency in HPC.

A look into Appell and Lauricella functions and their impact on scientific calculations.

CBC3D offers improved mesh generation for surgical planning and simulations.

Using liquid democracy concepts can enhance ensemble learning efficiency and accuracy.

An overview of multi-agent learning and strategies for better cooperation.

Learn how to minimize regret in billboard ad spaces.

A new method aids agents in quickly adapting to peers' behaviors.

A look at the challenges in assessing RL agents amid changing environments.

A method to improve cooperation in multi-agent systems with sparse rewards.

New algorithms enhance stability and efficiency in cooperative game theory applications.

This article discusses enhancing agent learning in networked environments through a new model.

Discover how AI is changing video creation and streaming.

A dataset tailored for testing video quality in conferencing situations.

Researchers develop a framework for better video and text understanding.

A new method enhances audio-visual segmentation without detailed labels.

PIAVE helps machines extract voices clearly, even when speakers turn their heads.

A new system that connects music and language for better understanding.

Learn how to design posters that communicate messages clearly and attractively.

A new dataset enhances AI's ability to interpret human behavior in videos.

Examining the role of channel models in 5G communication for industrial settings.

This article explores new wireless technologies to improve connectivity for users.

Enhancing road safety and efficiency through improved vehicle communication systems.

This study emphasizes the importance of reliable datasets for network traffic anomaly detection.

This article introduces a method to speed up network traffic classification.

Using deep reinforcement learning for better data traffic management.

Exploring how SFL can transform data processing in future mobile networks.

Innovative scheduling method enhances task management for batteryless devices.

GCUs connect machine learning models with biological neuron functions for improved efficiency and interpretation.

This research discusses the benefits of Evolvable Agents in distributed computing.

Learn how explainable benchmarking improves understanding of optimization algorithms.

Discover the energy-efficient world of Spiking Neural Networks and their unique learning methods.

Research highlights the importance of neuron interactions in sensory perception.

This study examines adding recurrence to Transformers for improved performance in machine learning tasks.

A fresh approach to resource constrained job scheduling using genetic programming techniques.

New methods enhance evaluation efficiency in computational problem-solving using phylogenetic insights.

A new method improves speed in solving symmetric eigenvalue problems using Riemannian techniques.

A new approach combines dynamic mode decomposition with time-dependent models for fluid dynamics.

A look into the fundamentals of motion in robotics.

Using deep learning for better basket option pricing accuracy.

A deep look at the LLBar equation and its impact on technology.

Using machine learning to classify asteroids based on their orbital movements.

Studying local conservation laws in fluid dynamics through numerical methods.

Exploring how optimal design improves Bayesian parameter estimation techniques.

A new system enhances performance and reduces delays in medical AI applications.

LLMs are set to improve privacy and functionality on mobile devices.

Introducing a secure yet efficient method for managing private data.

A system of handles improves memory management and reduces fragmentation in unmanaged languages.

THEMIS improves fairness and efficiency in multi-tenant FPGA resource scheduling.

This review outlines a framework for AIOps in incident management.

Compartmentalization offers a way to boost security in monolithic operating systems.

A new method to reduce data center memory costs effectively.

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.

A closer look at the performance and challenges of large language models in practice.

Unlocking the potential of graph databases with advanced query optimization techniques.

A comprehensive assessment of DEVS simulation engines using the DEVStone benchmark.

A novel communication model to boost IoT device connectivity and efficiency.

Strategies to handle resource allocation in evolving communication systems.

Cache blocking enhances computational efficiency in fluid dynamics simulations.

LEO satellites are changing global internet access and connectivity.

New methods improve performance predictions by focusing on memory dependencies.

This method enhances coding accuracy through reusable function learning and refactoring.

A new model supports efficient communication in choreographic programming.

Combining LLMs and formal verification to improve programming accuracy and efficiency.

A new framework for understanding cost in probabilistic functional programming.

A new graph structure enhances compiler efficiency in parallel programming.

A look at adjoint logic and its applications in programming and computation.

A new dataset and model for enhancing machine learning in formal proofs using Agda.

Discover how Object Graph Programming simplifies data handling in software development.

A new method helps robots learn effective jumping techniques.

This article discusses using factor graphs to enhance robot teamwork and decision-making.

Introducing SERL: A new framework for efficient robot learning tasks.

A look into the fundamentals of motion in robotics.

New method improves indoor layout recovery using non-central panoramic images.

Innovative camera systems enhance mobility and safety for visually impaired individuals.

A model that connects touch with vision and sound for enhanced interactions.

A new method enhances door detection for service robots using simulated and real data.

Enhancing road safety and efficiency through improved vehicle communication systems.

Examining how errors impact knowledge accumulation and the importance of checks.

A new method improves data clustering by considering complex relationships.

Examining fairness challenges in GNNs amidst changing data distributions.

A new model aims to improve fairness in recommendation systems while maintaining accuracy.

An analysis of political discussions and community interactions on Twitter.

This article discusses hidden fractal-like properties in complex network community structures.

This work introduces Orderless Regularization to improve graph generation using autoregressive models.

A study on the impact of LLMs in university software engineering courses.

A new algorithm enhances analysis of complex systems in business processes.

Instiller improves CPU fuzz testing with efficient techniques and better bug detection.

MobFuzz enhances fuzz testing with multi-objective optimization for better software security.

This method enhances coding accuracy through reusable function learning and refactoring.

Introducing Z3alpha, a new method for SMT strategy generation using Monte Carlo Tree Search.

SPViz enables tailored visualization tools for better software project understanding.

Learn to create systems that prioritize user-friendly design from the start.

Researchers are developing synthetic voice data to protect privacy in voice recognition.

VoxtLM combines speech recognition, synthesis, text generation, and continuation in one model.

New system enhances speech recognition using context-aware prompts.

EnCodecMAE combines self-supervised learning and audio codecs for improved audio task performance.

A study on using machine learning to identify children's sounds for ASD assessment.

Introducing a flexible method for recognizing keywords in speech across languages.

A look at how speech quality is tested using crowdsourcing.

Advanced techniques for ensuring audio authenticity in the age of voice cloning.

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.

Investigating new methods to enhance pseudorandom generators for better algorithm efficiency.

A look into how we determine parameter values in differential equations.

Learn how to make parameters identifiable in ODE models.

A look into the role of quantum circuits in computing and future prospects.

Explore the unique properties and applications of elliptic surfaces in mathematics.

A set-based approach for accurate monitoring amid sensor attacks.

Learn essential techniques for optimizing electricity distribution management during peak demand.

Integrating risk considerations into reinforcement learning enhances decision-making safety.

A guide to crafting a well-structured scientific paper for publication.

ChatMPC allows users to personalize robots through real-time natural language interactions.

A study on how signal strength affects user experience in wireless networks.

A look at improving decision-making through faster value function approximations.

Exploring safety measures in adaptive control using control barrier functions.