Computer Science

A new approach combines causal representation learning and foundation models for better understanding.

Innovative approach using neural networks to stabilize PDE systems efficiently.

Introducing a multiscale method to improve fairness in electoral district drawing.

Exploring neutrino behaviors during supernovae and their flavor conversion effects.

Addressing value overestimation and primacy bias to enhance agent performance.

APRICOT enhances trust in language models by measuring answer confidence accurately.

A new model identifies funny moments in videos using visual, audio, and text data.

MP2D framework enhances how dialogue systems handle topic changes.

APRICOT enhances trust in language models by measuring answer confidence accurately.

Comprehensive rules for annotating the Bavarian language corpus.

A new model identifies funny moments in videos using visual, audio, and text data.

MP2D framework enhances how dialogue systems handle topic changes.

A look at how computing power and algorithms have transformed language models.

Learn how custom sparse formats improve data handling and performance.

An analysis of language models' understanding of entity recognition rules.

TRAD improves how agents select and use examples for better decisions.

A closer look at Waring rank and border Waring rank in mathematics.

Research explores the separation of quantum and classical proofs in complexity classes.

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 new model aims to reward NFT creators over time.

New dataset and framework improve object detection in SAR imaging.

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.

This study reveals methods for detecting unusual gaps in object movement data.

Innovative methods enhance efficiency in packing unequal circles into containers.

This work presents a new method for computing Reeb spaces in complex data sets.

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 model aims to reward NFT creators over time.

Examining how default settings shape behavior in resource extraction.

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.

DiNAS offers a new way to create high-performing neural networks quickly.

New findings challenge the idea that classification and explanation robustness are linked.

A new model identifies funny moments in videos using visual, audio, and text data.

A new approach improves recognition for underrepresented classes in computer vision.

FSViewFusion generates realistic 3D views from limited images effectively.

A new method improves AI's learning capabilities with limited data.

This article discusses the impact of human labeling errors on SCL and a new solution.

This study reveals methods for detecting unusual gaps in object movement data.

Analysis reveals key moments affecting the electricity grid's reliability.

A new model aims to reward NFT creators over time.

Exploring the principles and importance of ethical AI use.

Examining how default settings shape behavior in resource extraction.

Research highlights the need for social intelligence in large language models.

Understanding the importance of participation brokers in machine learning projects.

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

Using blockchain to enhance documentation for classic car restoration.

An adaptive method for protecting privacy in smart applications using reinforcement learning.

Combining CPABE and OAuth 2.0 for better health data privacy.

Creating a system to compare libraries across programming languages effectively.

Exploring privacy risks related to membership inference attacks in machine learning.

Improving fuzz testing of embedded systems by enhancing MMIO models.

A new model aims to reward NFT creators over time.

Automating incident response improves security and service reliability in energy distribution.

Researchers develop a technique to help malware evade detection.

A clear look at the key ideas in graph theory and their connections.

This research focuses on computing threshold functions effectively despite noisy data.

An approach to optimize edge 2-coloring for improved graph performance.

This work presents a new method for computing Reeb spaces in complex data sets.

Researchers study animal abilities using digital games for effective learning.

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.

This study reveals methods for detecting unusual gaps in object movement data.

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.

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 clear look at the key ideas in graph theory and their connections.

An approach to optimize edge 2-coloring for improved graph performance.

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.

A new framework to improve learning in Federated Incremental Learning while ensuring data privacy.

A new method enhances DNN efficiency on limited-resource devices.

A new framework to assess and compare task scheduling methods effectively.

New JAX-based library simplifies federated learning for better model training.

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 look at new techniques for scalable quantum computing using integrated photonics.

AI-native EDA transforms circuit design processes with large circuit models.

This paper discusses adversarial training for robust quantum machine learning classifiers.

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.

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.

Learn how GKEDM improves Graph Convolutional Network performance.

Learn how VBD enhances simulations of soft materials in games and films.

MeshAC creates adaptive 3D meshes for accurate material simulations at multiple scales.

New method improves avatar movements using augmented reality and virtual reality data.

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.

AI-native EDA transforms circuit design processes with large circuit models.

TCAM-SSD allows faster data processing directly within storage devices.

New methods improve training speed and efficiency for large language models.

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.

Examining factors that influence trust in AI technology across diverse opinions.

An adaptive method for protecting privacy in smart applications using reinforcement learning.

A study on the hidden skills and insights in graphic design.

Insights into parental concerns about children's VR safety and privacy.

A new approach combines human insight and artificial intelligence for better opinion mining.

This article examines how biases influence judgments about news headlines.

This study assesses eye tracking performance in the Meta Quest Pro VR headset.

Challenging views on AI's role in fostering ecological relationships.

A new method improves accuracy in topic recommendations for software projects.

A method to improve product recommendations in online shopping through better data use.

TRAD improves how agents select and use examples for better decisions.

Learn how self-supervised learning enhances recommendation systems by addressing user preferences.

A look into social media's role in shaping public discourse and misinformation.

New approach enhances recommendations for limited-stock items in C2C platforms.

New techniques to enhance privacy while maintaining recommendation quality.

A new tool helps responders make faster, better decisions in emergencies.

Explore how retrodiction connects past events to current understanding in various fields.

A new method for optimizing beam patterns in mmWave systems.

Exploring the advancements and challenges of the upcoming 6G wireless communication technology.

A new approach enhances student performance in model training.

Examining the importance of timing in evolving wireless communication systems.

Learn how RIS technology improves wireless connections for everyday use.

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

Leveraging language models to streamline information extraction in virology.

Understanding how Graph Neural Networks model complex relationships in data.

This article examines the structure and applications of intuitionistic modal logic L.

An overview of complex reachability problems in linear systems.

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.

A new approach combines causal representation learning and foundation models for better understanding.

Innovative approach using neural networks to stabilize PDE systems efficiently.

Exploring neutrino behaviors during supernovae and their flavor conversion effects.

DiNAS offers a new way to create high-performing neural networks quickly.

New findings challenge the idea that classification and explanation robustness are linked.

This article examines how neural networks improve predictions with small initial weights.

Addressing value overestimation and primacy bias to enhance agent performance.

APRICOT enhances trust in language models by measuring answer confidence accurately.

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.

Examining user behavior to enhance EV charging station efficiency.

A new communication strategy for multi-agent systems enhances efficiency and adaptability.

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.

A new model identifies funny moments in videos using visual, audio, and text data.

AesopAgent enables users to create videos from stories using advanced AI tools.

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.

New method improves connection efficiency in quantum networks.

Radar technology boosts communication systems for real-time vehicle connectivity.

Exploring the advancements in wireless technology and resource allocation strategies.

Examining the importance of timing in evolving wireless communication systems.

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.

A look at how lexicase selection handles multiple objectives in evolutionary computation.

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.

A new approach improves multiscale modeling accuracy and efficiency.

This article discusses a method to optimize experimental design using gradient flow techniques.

Exploring the advancements in wireless technology and resource allocation strategies.

An automated approach enhances efficiency and accuracy in simulating porous 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.

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.

Innovative eye-tracking interface aids independence for individuals with paralysis.

A new approach to filtering complex systems using Gaussian PSD Models.

A new method improves coordination of unmanned underwater vehicles in dynamic currents.

New method improves avatar movements using augmented reality and virtual reality data.

A new communication strategy for multi-agent systems enhances efficiency and adaptability.

This article covers the development of smart systems for autonomous trucks.

WaveShot offers filmmakers an innovative way to capture footage on water.

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

Introducing a multiscale method to improve fairness in electoral district drawing.

Learn how GKEDM improves Graph Convolutional Network performance.

This article examines how biases influence judgments about news headlines.

Examining the role of movement patterns in shaping social separation in cities.

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.

New AST-based tool improves code comparison accuracy and developer collaboration.

A new method improves accuracy in topic recommendations for software projects.

Creating a system to compare libraries across programming languages effectively.

A new framework enhances code completion by utilizing repository context.

A study on static analysis tools for microservice architecture recovery.

Learn how NLP4RE tools simplify requirements engineering.

A look into smart contracts, their mechanics, benefits, and security concerns.

New methods enhance software verification efficiency using auxiliary invariants.

Research reveals methods to adjust sound behavior in rooms for improved clarity.

A new model identifies funny moments in videos using visual, audio, and text data.

Dielectric elastomers convert electrical energy into mechanical motion, offering diverse applications.

ASR transcripts with errors can help identify Alzheimer's more accurately.

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.

Grobner bases simplify computations in solving polynomial equations, impacting fields like cryptography.

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.

Innovative approach using neural networks to stabilize PDE systems efficiently.

A look at using hypergraphs to study Metzler positive systems.

Innovative eye-tracking interface aids independence for individuals with paralysis.

6G networks aim to reshape connectivity and data management through Federated Analytics.

New methods improve decision-making for self-driving cars amid uncertainties.

A framework to enhance UFLS in modern power systems with renewable energy.

D-DUIO improves state estimation using data-driven approaches across dynamic systems.

A new method improves coordination of unmanned underwater vehicles in dynamic currents.