Computer Science

This study enhances distributed learning through effective use of weighted updates in Error Feedback.

New methods enhance watermarking in large language models while preserving text quality.

A framework for detecting network anomalies using only normal traffic data.

This article examines if transformers can simulate weighted finite and tree automata.

This study reveals the potential of small language models in radiology tasks.

Introducing deep submodular peripteral networks for effective data learning.

Insights into energy use and efficiency in deep learning models.

A study on the fairness of privacy policies and their impact on user trust.

New methods enhance watermarking in large language models while preserving text quality.

This article examines if transformers can simulate weighted finite and tree automata.

This study reveals the potential of small language models in radiology tasks.

A study on the fairness of privacy policies and their impact on user trust.

Exploring how CPDs improve product design by connecting user needs and outcomes.

A framework to improve clarity in contracts through targeted questions.

This article discusses how language models help identify hate speech.

This project aims to improve recognition of Gujarati-English mixed speech.

This article examines if transformers can simulate weighted finite and tree automata.

Learn to tackle complex graph problems using periodic sets and tree decomposition.

This article examines links between Depth-3 circuits and SAT problem-solving techniques.

This paper presents a novel framework using quantum neural networks for unitary matrix approximation.

This article examines the complexities and limitations of sparse linear regression methods.

A look into a privacy-preserving proof system in cryptography.

A look at efficient data compression and retrieval methods.

Exploring methods to enhance agreement testing with low acceptance rates.

Innovative methods improve predictions of crack development in engineering materials.

A look at how ICLRNN enhances neural networks for real-world applications.

A new approach to handle complex changing domains in numerical simulations.

This article examines citation manipulation and its effects on research evaluation.

New methods using GPUs enhance linear solvers for better decision-making.

HDLdebugger automates and simplifies the process of debugging HDL code for engineers.

Using quantum algorithms to improve laminate design and stacking sequences.

A look at methods to improve model predictions and reduce uncertainty.

Examining the link between asset pricing factors and market performance using random portfolios.

An improved algorithm for cycle packing in unit disk graphs.

This research presents a new perspective on guarding polygons with robust vision.

Explore the role of sparse covers in algorithm design and network efficiency.

Polylla offers efficient polygonal mesh generation using GPUs for various applications.

A new method simplifies calculations on polygonal shapes directly.

Improving methods for fitting polygons in computational geometry.

Robots learn to identify arena shapes through local communication and teamwork.

A look into how liquid democracy reshapes voting and decision-making.

Learn how transaction fees shape the cryptocurrency landscape.

This study examines how longer memory enhances cooperation in repeated interactions.

How to enhance cyber defense strategies using game models and adaptive techniques.

This article examines how miners manage transaction scheduling in decentralized cryptocurrencies.

A look into transaction fee mechanisms and their impact on blockchain fairness.

A new approach to understanding crypto market dynamics through advanced modeling techniques.

CIS-UNet improves aorta segmentation for better surgical planning.

This article examines how facial attribute editing impacts face recognition accuracy.

A new method allows image editing using natural language instructions with no prior preparation.

A new dataset aims to improve recycling methods for electronic waste.

Exploring how adversarial examples influence machine learning models.

A new method enhances low-quality satellite videos for better analysis.

New methods improve object pose accuracy and uncertainty assessment in robotics.

DSEG-LIME enhances AI model explanations for better understanding and trust.

This research introduces state-space models for efficient video generation.

A study on the fairness of privacy policies and their impact on user trust.

Using blockchain to enhance documentation for classic car restoration.

This article discusses rising cybersecurity threats in the food and agriculture sector.

A new approach to simplify data access agreements.

A novel method for fair data collection in predictive modeling.

Public defenders face significant challenges with AI tools in criminal cases.

Exploring how compute providers can ensure AI compliance with regulations.

Gig workers can benefit from sousveillance tools to enhance their work conditions.

New methods enhance watermarking in large language models while preserving text quality.

A framework for detecting network anomalies using only normal traffic data.

A look at how blockchain improves healthcare data security and privacy.

This article discusses rising cybersecurity threats in the food and agriculture sector.

Exploring recent insights on synthetic data and privacy challenges.

A new scheme improves security and privacy in small cell networks.

Examining the impact of data priors on differential privacy in image reconstruction attacks.

A look at graph state verification and its importance in quantum communication.

Examining how geographic and social factors shape human connections in networks.

A look into Monotone Minimal Perfect Hashing and its efficiency in data management.

A new method improves finding large defective cliques in complex graphs.

A look into how liquid democracy reshapes voting and decision-making.

Researchers explore coresets to apply quantum computing to big data challenges.

Learn to tackle complex graph problems using periodic sets and tree decomposition.

This paper discusses learning-based methods for better decision-making in computing tasks.

A look at how satisfiability, coverage, and fairness intersect in optimization.

Quokka introduces write-ahead lineage for improved fault recovery in data processing.

A novel system leverages LLMs for effective query rewriting.

New model adapts to evolving data poisoning threats using interactive game theory strategies.

A new method for managing data flow while respecting user privacy choices.

Learn how programming frameworks enhance differential privacy for data analysis.

A new tool to improve access and analysis of agricultural data.

Improving efficiency in Datalog through semirings and grounding techniques.

A new approach to handle indexing of uncertain strings effectively.

Leveraging language models to streamline information extraction in virology.

This article examines citation manipulation and its effects on research evaluation.

Examining the rise of scientific misconduct and its impact on research quality.

A new framework aiding research in the complex art market.

A new score measures publication impact by balancing citations and publication age.

Enhancing dataset descriptions for better compliance and usability.

A look at shared knowledge and its role in society.

Researchers develop new ways to analyze web data from Common Crawl archives.

A new method simplifies the study of random geometric graphs for deeper insights.

An overview of contraction perfect graphs and their significance in graph theory.

Businesses face challenges in facility placement with fluctuating customer demand and congestion.

Exploring piecewise-constant lifting for improved integer programming solutions.

Explore the significance and applications of combinatorial theory in various fields.

A look into Petri nets for modeling complex systems and their behaviors.

Exploring the relationship between graphs and quantum states for efficient communication.

Study the transition from rational subsets to bounded regular languages through automata.

A look at how blockchain improves healthcare data security and privacy.

Quokka introduces write-ahead lineage for improved fault recovery in data processing.

GBC offers an efficient solution for counting bicliques in large bipartite graphs.

Learn essential programming terms and ideas in simple language.

A new method enhances power consumption modeling in data centers.

ExeGPT improves efficiency in running large language models for NLP tasks.

Revolutionizing data sharing and safety in vehicle networks with new learning frameworks.

Introducing DUETS: a method for optimizing distributed decision-making with minimal communication.

NTNs are changing how we connect across vast distances.

Exploring the synergy between quantum computing and optimal transport for biological data.

Researchers use light behavior for efficient solutions to complex optimization problems.

Discussing recycling methods to manage solar panel waste effectively.

A new modulator design improves IoT device communication.

Learn the basics and future potential of quantum computing technology.

Exploring 3D BioFETs to enhance communication in organoid systems.

Assessing the reasoning abilities of LLMs through the ARC benchmark.

Explore the significance and applications of combinatorial theory in various fields.

A look into right-linear grammars and their logical implications.

Study the transition from rational subsets to bounded regular languages through automata.

This article discusses how robots can better understand human preferences in task execution.

This article discusses how data-driven methods improve control systems through simplified models.

A new method for robot planning improves adaptability in changing environments.

This article explores how q-deformed coefficients enhance our understanding of word patterns.

Exploring the new -deformations in Parikh matrices and their implications in combinatorial studies.

pARam simplifies customization of items using XR technology and parametric designs.

A novel approach improves shape representation in complex 3D data.

Examining how social media shapes discussions on morality and political issues.

N2F2 enhances machine interpretation of images through multi-level analysis and language integration.

Learn how saliency maps enhance image and video generation.

StyleSketch transforms photos into high-quality sketches using minimal data.

ColorVideoVDP enhances how we measure image and video quality.

ProgrammableGrass uses artificial grass to create natural displays of images and animations.

New methods improve deep learning efficiency on structured hardware.

New methods enhance performance of language models by optimizing memory usage.

Discover the latest developments in error correction for modern memory technologies.

A new method enhances power consumption modeling in data centers.

A new design enhances vehicle security through advanced intrusion detection systems.

Introducing DG-RePlAce, a tool enhancing placement tasks for machine learning accelerators.

HDLdebugger automates and simplifies the process of debugging HDL code for engineers.

A new approach combining weight and token pruning for efficient image processing.

Exploring how CPDs improve product design by connecting user needs and outcomes.

A study on user data for better XR interface design.

TutoAI uses AI to streamline the creation of mixed-media tutorials for various tasks.

A new method helps users set context-aware policies for smart devices using virtual reality.

Examining how images impact learning in Wikipedia articles.

Public defenders face significant challenges with AI tools in criminal cases.

This paper analyzes gender bias in large language models and proposes measurement methods.

This article examines how text affects map understanding and communication.

A new method to assess how well LLMs mimic human user behaviors in recommendations.

A new technique enhances efficiency in spectral compressed sensing.

FeatUp improves image feature resolution, enhancing performance in computer vision tasks.

This paper discusses improving recommendations using large language models and in-context learning.

Learn how partial feedback can streamline mode estimation in large datasets.

A new model enhances logic query responses using language models and knowledge graphs.

Examining the role of data augmentation versus contrastive learning in recommendations.

New methods enhance efficiency in recommendation systems by addressing data sparsity.

This research tackles timing issues in bi-static sensing for better performance.

Leveraging language models to streamline information extraction in virology.

Exploring undecidability in subshifts of finite type and sofic subshifts.

Discover the latest developments in error correction for modern memory technologies.

Examining how agents coordinate without direct communication in decentralized systems.

Discover how Interactive AI enhances networking responsiveness and user experience.

A fresh method for optimizing Markov chains using polytope techniques.

6G technology promises faster speeds, lower latency, and improved connectivity for all.

A new approach to simplify data access agreements.

A guide to defining execution strategies in real-time system analysis.

This article simplifies cubical categories, making their importance clear in math and computer science.

A look into quantum supermaps and their significance in quantum processes.

Explore enriched categories and their impact on mathematics and computer science.

EXPLORER combines neural and symbolic reasoning to enhance AI in text-based games.

Examining how graph rewriting systems operate through structured frameworks.

Exploring a new approach to understanding modal logic through base-extension semantics.

A new method improves uncertainty estimation in atomistic simulations with deep learning.

This article discusses the essential aspects of constrained reinforcement learning and its real-world applications.

A new dataset aids in predicting signal loss in urban communication networks.

This study enhances distributed learning through effective use of weighted updates in Error Feedback.

New methods enhance watermarking in large language models while preserving text quality.

A framework for detecting network anomalies using only normal traffic data.

A new framework enhances the efficiency of heterogeneous graph learning.

Introducing deep submodular peripteral networks for effective data learning.

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.

GeoFlood helps predict water spread during floods, improving safety and preparedness.

SUGAR simplifies geometric algebra for engineers and mathematicians using Matlab.

Learn how Python aids in minimizing energy in complex systems.

A tool to generate and analyze synthetic sparse tensors in various fields.

This piece discusses the importance of trust in personal and social contexts.

A new approach to understanding crypto market dynamics through advanced modeling techniques.

Exploring how deep learning helps us study the emergence of language.

A new logic improves the study of agent interactions in complex systems.

Examining pricing strategies for effective ride-pooling services and their impact.

This paper explores how semantic decoding improves AI teamwork and outputs.

Introducing a framework for AI collaboration with agents whose goals are not clear.

Optimizing agent behavior through norms and sanctions in complex systems.

Examining how images impact learning in Wikipedia articles.

A method to reduce redundancy in multi-view data representations.

CoAVT integrates audio, visual, and text data for enhanced understanding.

Create talking avatar videos easily with Virbo's innovative system.

WiMANS dataset enables tracking of multiple users' activities using WiFi signals.

A new framework simplifies video editing tasks using image editing tools.

BDoG improves AI reasoning by integrating various data types effectively.

Heracles combines transformers and state space models for improved data processing.

A new dataset aids in predicting signal loss in urban communication networks.

NTNs are changing how we connect across vast distances.

A new approach to tackle contention and interference in wireless networks.

The SNOW-SCA method tackles vulnerabilities in the new SNOW-V encryption standard.

Discover how Interactive AI enhances networking responsiveness and user experience.

Examining how Internet layout impacts censorship and global access.

Exploring communication methods for reliable IoT systems in diverse environments.

Revolutionizing data sharing and safety in vehicle networks with new learning frameworks.

Insights into energy use and efficiency in deep learning models.

EMBGO improves search for optimal solutions in complex numerical tasks.

New framework improves pedestrian intention prediction for self-driving cars.

Researchers simplify neural networks to boost performance on limited-resource devices.

New method combines neural networks for improved efficiency and performance.

A look at how neural networks can model complex functions in various fields.

A new method to improve deep learning model training efficiency.

New methods enhance the prediction of diverse crystal structures for advanced materials.

Examining how diffusion influenced by stress affects material properties and applications.

A fresh approach improves accuracy in solving complex SDP challenges.

New method improves efficiency in solving complex partial differential equations using neural networks.

New methods enhance efficiency and accuracy in matrix logarithm computations.

A guide to optimization, its types, challenges, and practical uses across various fields.

Introducing a method for density estimation using B-spline Hermite quasi-interpolation in clustering.

Learn how NPRK methods improve solving ordinary differential equations.

A new method simplifies modeling complex systems while preserving essential features.

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 new system improves function scheduling and resource management in serverless computing.

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 new system enhances the output and cost-effectiveness of large language models.

Streamlining the calibration process for more accurate simulations in distributed computing.

Study reveals how AMD's Zen+ architecture executes instructions for better software optimization.

SiNPhAR utilizes silicon nitride to enhance photonic acceleration in deep learning tasks.

A look at innovative methods in cybersecurity using cyber deception.

Key insights on improving transaction processing in online systems.

A system that optimizes calculations for sparse matrices using blocked storage.

Research focuses on optimizing transformers for small devices with limited resources.

A new system enhances monitoring of WebAssembly applications without impacting performance.

A new memory allocator offers enhanced safety and performance for software development.

A framework simplifies peephole optimizations for better performance in Java applications.

Learn how programming frameworks enhance differential privacy for data analysis.

A new method to ensure JavaScript regex reliability and clarity.

Linguacodus translates natural language into computer code for machine learning tasks.

Discover the basics and significance of dependent type theory in computation.

Learn how SSR enhances proof management in Lean 4.

New methods improve robot efficiency in complex environments using 3D scene graphs.

Blending HMDP and MPC for safer autonomous vehicle operations.

Discover how VR is transforming robot control through teleoperation.

A novel teleoperation system simplifies robot training through real-time human control.

Introducing a programming language to improve robot decision-making and task execution.

A new system enhances robot navigation and object manipulation capabilities.

Robots learn continuously to adapt to new tasks and environments.

FastMAC offers a faster method for aligning 3D point clouds with high accuracy.

A new method improves finding large defective cliques in complex graphs.

This piece discusses the importance of trust in personal and social contexts.

Gig workers can benefit from sousveillance tools to enhance their work conditions.

Research presents a model to identify future influencers for effective marketing.

Examining how social media shapes discussions on morality and political issues.

Research highlights new methods for understanding climate messaging online.

This study examines communities sharing low-credibility news on social media.

Analyzing overdose journeys reveals significant trends and geographic patterns.

New methods enhance software verification efficiency using auxiliary invariants.

Introducing a programming language to improve robot decision-making and task execution.

JupyLabel offers a better way to classify and label code sections in Jupyter Notebooks.

New datasets and benchmarks aim to improve coding output from AI models.

This article examines how crowd-sourced compatibility scores aid in managing software dependencies.

This article examines issues of code smells in ML software quality.

AutoDev streamlines the software development process through advanced AI automation.

This research evaluates the use of LLMs for realistic self-driving car scenarios.

ELLA-V enhances text-to-speech quality and control, surpassing previous models.

A new approach improves animal call detection accuracy without arbitrary thresholds.

A new model integrates audio and text for better speech classification.

A new initiative to improve transcription technology for meetings in large rooms.

New methods enhance accuracy in noisy speech recognition using large language models.

Analyzing hen sounds helps improve their health and farm productivity.

A method to help the visually impaired recognize sounds in mixed reality.

This article discusses solutions for speech applications in languages with limited transcribed data.

CGPO enhances decision-making in uncertain scenarios with mixed actions.

Explore solutions for agents moving through shared spaces without collisions.

Assessing the reasoning abilities of LLMs through the ARC benchmark.

This method improves tracking of solutions in changing systems of equations.

A novel algorithm improves computation of polynomial equations using Gröbner bases and Hensel lifting.

Learn about WebPie, a simple language using dependent types for safe programming.

Exploring AI's role in shaping music through advanced techniques and structures.

Exploring total division in mathematical structures and its implications.

Introducing a framework for safety filters that balances performance and safety in control systems.

Blending HMDP and MPC for safer autonomous vehicle operations.

Exploring two data-driven approaches to control systems.

This piece discusses the importance of trust in personal and social contexts.

Online simulation enhances industrial operations through real-time insights and predictive maintenance.

Innovative approaches improve control design using data and contractivity in nonlinear systems.

SynPF algorithm shows promise for reliable vehicle localization in challenging racing conditions.

A look at how ICLRNN enhances neural networks for real-world applications.