Computer Science

Researchers analyze the predictability of language model performance as training compute scales.

New methods generate realistic 3D avatars from a single image.

ASVs improve efficiency in tracking water quality for safer environments.

A look at neural network learning frameworks and their implications for AI development.

A new dataset for improving e-commerce image and text recognition.

This article explores how Physics-Informed Neural Networks can enhance quantum computing.

This paper outlines methods for detecting misinformation using large language models.

A new model improves EHR data accuracy for personalized care.

New memory strategies boost performance in handling long input sequences for language models.

A new method for accurate Arabic text diacritization is introduced.

New method enhances retrieval efficiency across languages without heavy translation.

Introducing a method that measures answer quality at different detail levels.

A study presents a dataset focused on emotions related to depression.

This paper outlines methods for detecting misinformation using large language models.

Examining the nature and capabilities of language models in generating meaningful text.

This article tackles the impact of dialects in NLP technology.

A method to group data while considering diverse characteristics and identities.

A study on effective honeypot integration in production systems for improved cybersecurity.

This article discusses expected Shapley-like scores for evaluating contributions in probabilistic databases.

This paper examines the decoding challenges of zero-rate codes in error correction.

SARRIGUREN improves SAT solving for dense clause instances with a unique counting approach.

Examining proof systems, their methods, and their connection to satisfiability solving.

New methods improve efficiency in matrix updates and algorithms.

An exploration of efficient higher-order functionals and their implications in computing.

This article explores the impact of GPUs on fluid dynamics simulations.

Study on recognizing drivers through their unique driving styles using GPS signals.

New methods improve adsorption energy prediction for catalysts using machine learning.

Quantum computing shows promise in improving Metal-Organic Frameworks for carbon capture.

A fresh method for more accurate credit risk estimation and management.

MatSciRE streamlines data extraction from material science articles to aid battery research.

A new model predicts material behavior efficiently using machine learning techniques.

Exploring methods to make AI in finance more understandable and trustworthy.

Learn how to minimize perimeter when dividing rectangles into smaller parts.

Research reveals DBA's efficiency in averaging time series data.

Exploring methods to study overlapping curves in geometry and algebra.

New techniques improve diameter calculations for unit-disk graphs, aiding efficient network analysis.

SurfaceNets improves efficiency in visualizing complex data for medical and biological applications.

Recent advancements improve speed and accuracy in measuring curve differences.

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 game approach enhances evacuation planning during disasters.

Examining how selfish task behaviors affect overall scheduling efficiency.

How popularity shapes decisions in business and politics.

A novel approach to stabilize player strategies in congestion games with limited information.

This article proposes Decent-BRM to support solo miners over mining pools.

Discover the vital role receivers play in effective communication dynamics.

Exploring methods for fair resource and task distribution based on preferences.

Learn how to design effective trade mechanisms for small market participants.

New skin tone metrics aim to improve fairness and privacy in face recognition systems.

A new model enhances how self-driving cars predict pedestrian movements in crowded areas.

New methods generate realistic 3D avatars from a single image.

A new method to improve jump cuts in video editing.

A new approach to pruning datasets improves model performance while reducing data size.

A new dataset for improving e-commerce image and text recognition.

DiffSketch allows artists to create stylized sketches from just one example.

MatSAM enhances microstructure extraction from material images for improved analysis and research.

Examining how user feedback shapes online content recommendations and user engagement.

New dataset highlights the stereotype issue in image generation models.

A look at cookie policies and their effects on user privacy.

Exploring the link between language learning and programming education.

Analyzing the different perspectives on AI threats to humanity.

This article examines fairness issues in AI-based mobile app reviews.

Analyzing social media sentiment reveals public views on new technologies.

Analyzing how generative AI is reported in global news from 2018 to 2023.

Exploring dynamic response systems for enhanced vehicle cybersecurity.

A study reveals hidden networks of illegal cryptocurrency transactions.

Brave offers privacy and protection from threats in peer-to-peer federated learning.

Examining the growing importance and issues of digital identity in our online world.

A formal approach to identify privacy violations in quantum computing algorithms.

A look into Federated Learning and Unlearning for data privacy.

A new approach to find fake base stations and multi-step attacks.

A look at how homomorphic encryption aids gradient descent in data security.

Research focuses on neural networks' ability to adapt and recognize concepts under uncertainty.

New quantum algorithm promises faster solutions for complex graph problems.

A look at simplified structures for efficient text handling.

A method to group data while considering diverse characteristics and identities.

Learn how to improve database performance through effective query selectivity estimation.

This study presents a new algorithm for efficient job scheduling.

New insights into caching strategies for efficient web service delivery.

A look at robust shortest path problems in uncertain network conditions.

New quantum algorithm promises faster solutions for complex graph problems.

Learn how to improve database performance through effective query selectivity estimation.

BOD simplifies data analysis by involving users in ranking important variables.

This article discusses expected Shapley-like scores for evaluating contributions in probabilistic databases.

Examining the impact of text reuse in historical and literary studies.

A new system aims to improve pattern detection in large log databases.

A guide to choosing billboard slots that maximize advertising impact.

A new system improves schema matching accuracy using generative tags and advanced features.

A detailed dataset combining Mozart's sonatas with piano performances and expert annotations.

Efforts to create a quality measure for research data and software.

A study of public sentiment on Reddit following the October 2023 Hamas attack.

Enhancing scientific data documentation is vital for fair ML practices.

This study enhances case law research through combined topic modeling and citation analysis.

Explores the connection between academic citations and scientific disruption.

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

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

Exploring strategies in the Cops and Robbers game with 1-planar graphs.

This work presents methods for generating trees to model graphs effectively.

This article studies maximal cliques across various random network models.

A look at hypergraphs and their significance in analyzing complex connections.

Exploring methods to improve search efficiency in trees with varying node costs.

Examining the complexities of reconfigurable routing in modern data center networks.

A study on point arrangements and their implications in combinatorics and group theory.

This article examines the connections in friends-and-strangers graphs and their implications.

A new method enhances processing for sparse tensor networks, improving performance.

Learn how devices reach consensus on average values through local interactions.

This article explores the impact of GPUs on fluid dynamics simulations.

Brave offers privacy and protection from threats in peer-to-peer federated learning.

Examining the growing importance and issues of digital identity in our online world.

A new GPU-based method for finding maximal bicliques in large graphs.

New algorithm enhances saving and loading processes for complex simulations.

Innovative approach uses driving data while protecting privacy.

Quantum computing shows promise in improving Metal-Organic Frameworks for carbon capture.

A hybrid algorithm merges classical and quantum computing to advance railway dispatching efficiency.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

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 look at simplified structures for efficient text handling.

Directed languages play a crucial role in computer science and language theory.

A look into string constraints and their importance in software systems.

Exploring the dynamics and strategies of Rabin games in decision-making systems.

Exploring verification challenges and solutions for concurrent programs in weak memory models.

This article analyzes succinctness in safety and cosafety languages using Linear Temporal Logic.

Discover how dependent variables can streamline reactive synthesis processes.

A look into Parametric Timed Games and their applications in real-time systems.

DiffSketch allows artists to create stylized sketches from just one example.

A new approach to visualize Italian smocking results digitally.

This method simplifies adding objects to 3D environments using text and 2D boxes.

A new method of dubbing enhances lip syncing for better viewer experience.

Explore how treemaps present hierarchical information clearly and efficiently.

A method for compressing volumetric data while maintaining quality using neural networks.

A method for breaking down 3D scenes into meaningful parts.

This dataset advances evaluation methods for realistic 3D object rendering.

A new architecture enhances processing of event-based visual data efficiently.

X-HEEP offers customizable and energy-efficient solutions for edge computing applications.

This paper discusses improving energy efficiency in devices using harvested power.

Exploring the impact of hardware accelerators on Large Language Models.

A new framework enhances GPU performance for deep learning tasks.

A new method improves efficiency and design quality in logic synthesis using machine learning.

A low-power op-amp design for improved biomedical applications.

Learn how CNM and CIM optimize data handling for machine learning.

Exploring factors that influence trust in healthcare voice AI assistants.

Studying human-robot interactions in grape farming through immersive and non-immersive VR.

This research aims to improve graphic accessibility for people with disabilities.

Examining how AI uncertainty affects decision-making in healthcare.

A competition that pushed the limits of remote robotic technology and user experience.

Learn how to improve communication between humans and AI systems.

A study on dark patterns and their effects on user behavior.

Exploring mixed-initiative approaches for creative teamwork in game development.

New method enhances retrieval efficiency across languages without heavy translation.

FIITED reduces memory usage while maintaining performance in recommendation models.

Introducing alternatives can enhance user satisfaction in fashion recommendation systems.

Learn how to improve sales through better understanding of consumer behavior.

A new approach to human-centric smart factories through the SemIoE ontology.

AI techniques are transforming how researchers conduct literature reviews.

A new model helps enhance recommendations by addressing noisy user feedback.

This study focuses on enhancing retrieval-augmented generation methods for Brazilian Portuguese.

A new method boosts communication quality in 5G networks by addressing receiver distortion.

DeepJSCC-MIMO offers improved methods for fast image transmission over wireless networks.

A look into new methods for efficient data analysis.

An overview of trace codes and their significance in secure communication systems.

Exploring Markov mimics and their role in stochastic processes.

Exploring patch-based methods for enhancing degraded images.

Explore the link between entropy and log-concave random variables.

Research reveals simplicity bias impacts predictions in random logistic maps.

Learn the basics of program logic and its significance in programming.

Examining how systems adapt to disruptions while achieving goals within time limits.

A look into how DIBI models analyze event relationships.

A method for calculating probabilities in systems with uncertain timing of observations.

Exploring the boundaries of choiceless computation with hypercubes and preorders.

A look into provability and proof techniques in logic systems.

This article discusses a new sequent calculus for Strong L intuitionistic logic.

A look into string constraints and their importance in software systems.

A new model enhances how self-driving cars predict pedestrian movements in crowded areas.

A new approach enhances how robot swarms cover areas efficiently.

Researchers analyze the predictability of language model performance as training compute scales.

Machine learning methods improve efficiency in identifying new drug candidates from large compound libraries.

ASVs improve efficiency in tracking water quality for safer environments.

Combining classical and quantum methods to improve cancer detection accuracy.

A new model enhances prediction accuracy of solar flares using attention-based techniques.

A look at neural network learning frameworks and their implications for AI development.

Combining JAX and Firedrake enhances numerical methods for solving partial differential equations.

New method enhances predictions using Gaussian processes on unknown data structures.

New algorithm enhances saving and loading processes for complex simulations.

A framework for analyzing complex data using graph structures.

Learn how Chisholm approximants aid in estimating functions with two variables.

A novel approach improves wave simulation in irregular landscapes for better predictions.

New algorithm improves analysis of complex datasets for researchers.

Learn how long memory influences predictions in various fields.

Learn how controllability backbone aids in managing networked agents effectively.

Examining the efficiency and fairness in real-time vehicle task assignment.

A new method to improve decision-making in multi-agent environments.

Learn how Distributed Collective Processes enhance teamwork among smart devices.

Exploring DiSC-UCB algorithm for effective action selection in uncertain environments.

Exploring how social identity shapes choices in AI agents for urban transportation.

Analyzing decision-making and fairness through the lens of the Ultimatum Game.

Robots can work better in teams by sharing their abilities.

A new method improves image compression by focusing on frequency bands.

Vlogger simplifies video blogging, making it quicker and easier for creators.

Examining energy use and impact of video streaming on the environment.

A unified approach to assess fish feeding using audio and video data.

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.

A new system enhances management of mobile transmitters in radio zones.

Learn how safe learning improves SD-WAN load balancing efficiency and safety.

A look into cybersecurity challenges and solutions in smart grid technology.

Introducing WiPe-GAI, a framework for better AI content creation using wireless signals.

Strategies to enhance the safety of PoS blockchains.

A new system using Generative AI enhances data transmission efficiency and security.

Exploring the collaboration between mobile devices and edge servers for smarter AI assistants.

New routing techniques promise faster satellite internet connections worldwide.

Research focuses on neural networks' ability to adapt and recognize concepts under uncertainty.

Exploring the adaptation processes of physical systems through feedback and structure.

This paper examines how GNNs enhance defenses against cyber attacks throughout their life cycle.

A new method combines LLMs and genetic programming to enhance code generation.

A new method improves evolutionary algorithms for complex optimization problems.

Discover how the brain predicts outcomes and manages uncertainties in decision-making.

New algorithm improves crystal structure prediction using multi-objective strategies.

Assessing how prepared drivers are in conditionally automated cars.

A study on particle movement and energy conservation in fluids.

A study of two elastic rods and a spring's behavior under various forces.

Combining JAX and Firedrake enhances numerical methods for solving partial differential equations.

A novel method for analyzing truss structures enhances efficiency and reduces computational costs.

A look into quantum thermal averages and their significance in quantum physics.

Introducing Dropout Ensemble Kalman Inversion for effective high-dimensional parameter estimation.

A new method to manage complex time-dependent data efficiently.

A new method merges atomistic and continuum modeling for better material insights.

This paper discusses improving energy efficiency in devices using harvested power.

Learn how OSMOSIS allocates network resources fairly in modern data centers.

A new tool evaluates Syzbot's ability to find Linux kernel bugs.

Learn how to enhance AI performance using GPU remoting and effective networking.

A new approach streamlines page table management in NUMA systems.

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 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.

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 method enhances processing for sparse tensor networks, improving performance.

Learn how to apply energy-saving practices to web development.

Learn how Virtual WANs can enhance connectivity for businesses.

A new algorithm enhances communication speed in high-performance computing.

Learn how to analyze computer system performance using hierarchical methods.

Exploring Age of Information and queuing systems for real-time updates.

A new system reduces latency in Mixture-of-Experts models while managing memory costs.

This paper analyzes the behavior of deadline misses in soft real-time systems.

A new method enhances processing for sparse tensor networks, improving performance.

Learn the basics of program logic and its significance in programming.

Introducing a language to enhance the security of confidential computing in the cloud.

RichWasm provides a solution for safe memory sharing between different programming languages.

A look into initial semantics and its role in programming languages with variables.

A look at combining behavior trees with Lingua Franca for improved automation.

Exploring verification challenges and solutions for concurrent programs in weak memory models.

A look at how SAM improves program execution with session types.

A new model enhances how self-driving cars predict pedestrian movements in crowded areas.

A new approach enhances how robot swarms cover areas efficiently.

A method to improve robot efficiency in automotive production lines.

Studying human-robot interactions in grape farming through immersive and non-immersive VR.

A look into how robots can quickly adapt to changing tasks.

A competition that pushed the limits of remote robotic technology and user experience.

Low-power radar systems show promise for enhancing autonomous racing technologies.

A new foot design improves robot movement on uneven surfaces.

A new method to represent flows using cell complexes.

A method for analyzing public emotions through social media data.

Exploring how social connections can reduce polarization and enhance cooperation.

MetaHate aims to tackle hate speech with a comprehensive dataset for research.

This method enhances our understanding of network communities through Edge Random Walk Centrality.

This article discusses methods to recover lost information in hypergraphs from simpler graph representations.

A study of public sentiment on Reddit following the October 2023 Hamas attack.

A new method to monitor and predict the spread of online rumors.

Study shows DFDs improve security analysis performance for developers.

This research aims to improve graphic accessibility for people with disabilities.

A look at innovative ways to spot data races in concurrent programming.

A new method enhances the detection of logic bugs in XML processing tools.

A study on enhancing code prediction accuracy in large language models.

Examining the impact of the pandemic on software engineering researchers.

Exploring the unseen contributions in open source software development projects.

A new method for managing security findings in DevOps enhances software security practices.

Examining how pretrained language models improve text-to-speech quality.

A new model evaluates audio perception through human feedback using Best-Worst Scaling.

New methods improve the clarity of audio components in music tracks.

BandIt enhances audio source separation using innovative deep learning techniques.

Tailoring emotion recognition technology improves accuracy for diverse speakers.

Study reveals serious threats in voice recognition using morph samples.

A detailed dataset combining Mozart's sonatas with piano performances and expert annotations.

A new lightweight model improves pitch estimation using self-supervised learning techniques.

SCoBots improve reinforcement learning by enhancing object relationship understanding.

Introducing a novel approach to categorize and study emotions through the Emotion Frame Ontology.

This study examines how ML improves variable selection in symbolic computation.

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.

A method to improve robot efficiency in automotive production lines.

Learn how devices reach consensus on average values through local interactions.

A look at how physics can enhance reinforcement learning methods.

A look into how robots can quickly adapt to changing tasks.

Low-power radar systems show promise for enhancing autonomous racing technologies.

This article discusses strategies for enhancing safety in automated vehicle systems.

A look at how homomorphic encryption aids gradient descent in data security.

Examining how input redundancy interacts with constraints in control systems.