Computer Science

This study proposes a framework for understanding hidden concepts in complex data.

A framework to reduce bias in AI language models while maintaining accuracy.

ReGround3D improves understanding of human instructions in 3D environments.

New methods improve model recognition across varied data types.

LLP enables model training using average labels from grouped examples.

CRAB enhances testing for language models in real-world environments.

A new method improves the selection of data mixtures for language model training.

Exploring how synthetic data shapes machine learning models and their behavior.

A framework to reduce bias in AI language models while maintaining accuracy.

Evaluating methods to enhance long context performance in language models.

ReGround3D improves understanding of human instructions in 3D environments.

A new method improves the selection of data mixtures for language model training.

A new method enhances LoRA's efficiency and effectiveness in machine learning.

Exploring how synthetic data shapes machine learning models and their behavior.

Simplified methods outperform complex agents in software problem-solving.

DogeRM combines general and domain-specific models to enhance language model performance effectively.

An overview of the complexities involved in learning decision trees in machine learning.

A look into how weighted processes function and their mathematical implications.

Explore the advantages and applications of Low-Rank Adaptation in AI models.

This article examines how social hierarchies form between competing groups.

A strategy game where players program workers to reach their jobs amidst obstacles.

Explore the complexities of counting induced subgraphs in various graph properties.

This article discusses deducibility in the Lambek calculus and its complexities.

A deep dive into the behavior of Boolean functions and their approximate degrees.

A new dataset enhances the study of car aerodynamics for better design efficiency.

A new approach enhances fluid flow modeling for better resource management.

New framework improves genetic biomarker prediction in colorectal cancer using whole slide images.

A concise overview of equity research reports and their significance in investing.

ALPS streamlines the design of photonic surfaces using machine learning.

Research focuses on improving brain model accuracy through innovative simulation techniques.

A new framework enhances predictive modeling by integrating sensor and simulation data.

A new method uses deep learning for improved monitoring of structures.

New techniques for finding efficient paths in weighted areas.

A new method enhances point cloud feature extraction for various applications.

Explore methods for point containment in Constructive Solid Geometry using various algorithms.

This method helps clarify complex, changing data by reducing noise while retaining important features.

A new algorithm speeds up Fréchet distance computations for better curve similarity analysis.

Learn how bifiltrations enhance data analysis by examining two parameters simultaneously.

This article discusses the significance of crossing numbers and ratios in graph theory.

Examining Cech persistence diagrams for better data analysis and machine learning applications.

This paper examines the time it takes for workers to find new jobs after resigning.

Exploring the role of airdrop farmers in user growth.

This paper presents methods for equitably dividing chores among individuals.

A look into auction strategies and their impact on market behavior.

Examining methods for fair distribution of perishable items in resource-limited settings.

Exploring how video games can teach essential programming skills effectively and engagingly.

Creating systems that promote truthfulness among users in various digital interactions.

Examining interactions between agents in decision-making environments.

SeFlow enhances motion estimation for self-driving cars using self-supervised learning.

ReGround3D improves understanding of human instructions in 3D environments.

A new method enhances low-quality videos while maintaining consistency across frames.

New methods improve model recognition across varied data types.

A new method enhances LoRA's efficiency and effectiveness in machine learning.

This study enhances U-Net for accurate retinal blood vessel analysis.

FastCLIP enables effective CLIP model training with fewer resources.

New method enhances learning in image-text models using composite examples.

Examining the negative impacts of AI for everyone.

Learn how collections demography helps protect valuable heritage items over time.

Enhancing pharmacovigilance through reliable language model outputs.

Learn how AI chatbots enhance process modeling in large organizations.

Examining how misleading content affects mental health awareness on video platforms.

Exploring how reframing shifts opinions through community discussions.

Research shows how prompt adjustments can enhance AI responses to diverse cultures.

This article examines risks linked to LLMs and proposes ways to enhance safety.

Research shows how easily safety features can be removed from Llama 3 models.

Researchers examine methods to secure sensitive information in text classification models.

QUEEN offers real-time protection against model extraction attacks in deep learning.

Exploring the benefits of an offline digital euro for secure transactions.

A framework for secure sharing of health information while protecting patient privacy.

STRIDE predicts lost variable names and types in decompiled software efficiently.

A look into how language models can leak sensitive data.

This article examines risks linked to LLMs and proposes ways to enhance safety.

An overview of the complexities involved in learning decision trees in machine learning.

New methods enhance sampling speed and accuracy in diffusion models.

Exploring methods to efficiently color 3-colorable graphs in computer science.

Research on enhancing information flow in networks by adding connections.

New algorithms improve recommendations using submodular optimization under noisy conditions.

A new method enhances space efficiency in nearest neighbor searches.

Exploring optimization strategies for the unbounded knapsack problem in online settings.

New techniques for finding efficient paths in weighted areas.

Learn how circuits enhance database query handling and efficiency.

A new method for efficient data retrieval in decentralized environments.

A new framework enhances process mining by using reference models for best practice violations.

Innovative methods for effective trajectory data management and analysis.

A look into how CER systems analyze data patterns in real-time.

A new method improves how we match entities across different knowledge graphs.

Cities gain crucial transport data while addressing privacy concerns.

A new method enhances the evaluation of SQL code generation accuracy.

A new system simplifies citation management for preprints, enhancing visibility and collaboration.

A new dataset sheds light on historical newspapers from Latin America.

Examining how the disruption index may misrepresent innovation trends.

A new framework aims to automate paper reviews for better quality feedback.

GraphMuse streamlines the analysis of symbolic music data with advanced machine learning techniques.

Reviewing key trends and collaborations in COVID-19 studies during 2020.

A system that improves information retrieval by clarifying user questions.

This study focuses on generating citations with appropriate length for better quality.

This article explores geodetic Cayley graphs related to finite groups and their properties.

Exploring random cell complexes in mathematics and data analysis.

A study on sparse sets within triangle-free graphs and their properties.

This article examines how groups can be represented using subshifts of finite type.

A look into how weighted processes function and their mathematical implications.

This article discusses the significance of crossing numbers and ratios in graph theory.

A study of how reflection complexity reveals pattern behaviors in sequences.

A look into how Boolean networks model biological interactions.

LLload makes it easier to track job performance on HPC systems.

A new method reduces energy use while improving learning outcomes in decentralized systems.

Coded computing offers a fresh approach to optimize server efficiency.

Exploring the optimization of DNNs for devices with limited energy supply.

Examining the challenges in constructing data centers for training large language models.

DRLQ enhances task assignment for quantum resources, boosting efficiency in cloud computing.

This article explores the benefits of using FP8 in federated learning.

Strategies for minimizing carbon emissions in datacenters through improved predictions.

DRLQ enhances task assignment for quantum resources, boosting efficiency in cloud computing.

A fresh approach to model memristors for advanced computing applications.

Discover how new computing methods can reduce energy use in AI systems.

New methods enhancing particle-conserving gates optimize quantum circuits for chemistry and physics.

A new method enhances speed and efficiency in data handling within memory systems.

A new tool enhances Git merging by analyzing code dependencies.

A new framework aids non-experts in harnessing quantum computing for solving optimization problems.

RRAM technology offers unique properties for data storage and computing.

Learn about key programming concepts for better data handling and error management.

Explore how spliffers shuffle and split words efficiently.

A framework to improve theorem proving using Lean4 and language models.

A look into how CER systems analyze data patterns in real-time.

A look into CFGs, their components, and relationships like bisimilarity.

A look into how weighted processes function and their mathematical implications.

A study of how reflection complexity reveals pattern behaviors in sequences.

This article explores mailbox communication and its role in finite-state machines.

This study refines temperature predictions for complex terrains using adaptive lapse rates.

Easily move subjects between images while preserving artistic styles.

A novel method enhances the realism of human movements using human feedback.

Learn how adaptive triangulation improves game environments and performance.

GSD improves 3D object creation from single images with enhanced accuracy.

This method helps clarify complex, changing data by reducing noise while retaining important features.

Beat-It generates synchronized dance movements to enhance choreography effortlessly.

A new approach improves image generation from sketches by separating object and scene creation.

A new standard improves neural network speed and energy efficiency in computing.

This article discusses enhancing MUSIC with approximate computing for better performance.

A new system improves GPU thread management for better performance.

A look at new methods improving electronic circuit floorplanning efficiency.

A new method enhances HDL code generation accuracy using LLMs.

A new system aims to improve speed and efficiency in analyzing genetic data.

New methods improve energy efficiency for CNNs on STM32 microcontrollers.

Learn how sequential circuits work and the role of referring forms in their analysis.

A framework to reduce bias in AI language models while maintaining accuracy.

LEXI simplifies research on human-agent interactions with Large Language Models.

Study examines ChatGPT's effectiveness in explaining complex cancer reports to patients.

GazeNoter enhances note-taking using augmented reality and AI for better focus.

Examining how student relationships affect peer grading accuracy.

A fresh approach for artists to connect creativity with AI audio generation.

Learn how AI chatbots enhance process modeling in large organizations.

This study analyzes how personal traits affect responses to misinformation warning tags.

This article examines the impact of temporal changes on information retrieval system evaluations.

RankRAG enhances language models by combining retrieval and answer generation.

Exploring the limitations of in-context learning in language models.

This work proposes methods to enhance knowledge graph completion through smarter rule sets.

A toolkit enhances privacy in text generation with on-device retrieval.

A study on classifying music by its era using audio features and artist insights.

A new benchmark addresses challenges in code retrieval for developers.

Discover how quantum computing can enhance feature selection in recommender systems.

This study examines methods to enhance text classification using SVM and kernel functions.

A new method for locating users indoors with fixed reflection points.

Coded computing offers a fresh approach to optimize server efficiency.

Discover how machine learning is tackling complex partial differential equations.

Examining how drones can improve communication networks in limited energy environments.

Examining list-decodability and list-recoverability in coding theory.

A look at how common information impacts various fields of study.

New methods enhance 3D data recovery from single images.

This article discusses a new method for protecting confidential data in message-passing applications.

A formal approach to verify the correctness of DAG-based consensus protocols.

A look into unary structures and their concise definitions in data representation.

Explore how Runtime Verification aids in checking system performance through event traces.

Explore the nuances of intuitionistic logic and its implications in mathematics and computer science.

A method improving the verification of higher-order probabilistic programs using novel type systems.

An overview of how rules interact within logical frameworks.

A look into CFGs, their components, and relationships like bisimilarity.

This study proposes a framework for understanding hidden concepts in complex data.

This article examines Natural Policy Gradient for efficient decision-making in large state spaces.

New methods improve model recognition across varied data types.

LLP enables model training using average labels from grouped examples.

Agents face the challenge of gathering resources while ensuring sustainability.

Exploring how synthetic data shapes machine learning models and their behavior.

Simplified methods outperform complex agents in software problem-solving.

Discover how Stein Random Features enhance data analysis and prediction accuracy.

A user-friendly tool for building Petri Nets and simulating complex systems.

DASTAC enhances tensor computations by combining dense and sparse techniques for efficiency.

New approaches to tackle complex linear systems efficiently.

A new framework for optimizing complex geodesic convex problems in various fields.

HOBOTAN efficiently tackles complex higher-order optimization problems using advanced computing techniques.

Learn how Restricted Function Spaces improve PDE solutions in Firedrake.

A new tool for efficient structural optimization using automatic differentiation.

A new heuristic enhances solution finding in MILP problems.

A new model reveals the dynamics of social learning and behavior imitation.

Agents face the challenge of gathering resources while ensuring sustainability.

Addressing coordination challenges in offline multi-agent reinforcement learning.

IBSEN enhances drama script creation with controlled narrative and character engagement.

WARP-CA offers an innovative approach for predicting and controlling wildfires.

Learn how PhysiBoSS simplifies complex biological modeling for researchers.

Researchers build realistic fake populations to study behavior and social patterns.

A look at how agents adapt strategies in complex environments.

New dataset improves audio generation from detailed text descriptions.

A new tool for testing language models in noisy environments.

A new method for creating cleaner reference meshes from dynamic 3D shapes.

A new method reduces the need for labeled data in computer vision tasks.

This article presents a method to generate accurate sound from videos and text.

Introducing a new model that efficiently combines text and layout for better document understanding.

A new method enhances video data management for better understanding and efficiency.

The AMEX dataset enhances AI understanding of mobile app interfaces.

Examining the impact of AI and ML on future 6G network technologies.

This article examines how multiplexing and error-correcting codes improve quantum communication.

Examining the challenges in constructing data centers for training large language models.

New solutions enhance wireless communication through efficient spectrum sharing.

Learn how shifting traffic to the Internet can lower video conferencing expenses.

Study examines middleware options in robotic space missions over mesh networks.

A new routing protocol enhances UAV network efficiency and reliability.

Tiny movements in VR affect wireless connections and user experiences.

A new model reveals the dynamics of social learning and behavior imitation.

Agents face the challenge of gathering resources while ensuring sustainability.

Advancements in predicting speech quality using efficient methods for mobile devices.

A fresh approach to model memristors for advanced computing applications.

Discover how new computing methods can reduce energy use in AI systems.

WARP-CA offers an innovative approach for predicting and controlling wildfires.

An overview of how the brain encodes and retrieves memories of space.

A new system improves signal processing efficiency through innovative encoding methods.

A high-order parallel method speeds up heart simulations significantly.

Learn how modern techniques speed up wave problem solving.

This article reviews methods to sum non-converging matrix series.

A new method simplifies the analysis of thin plates and shells in engineering.

A new algorithm improves tensor network contraction speed and accuracy.

NGOs utilize neural networks to simplify solving complex partial differential equations efficiently.

This article discusses methods to stabilize the Burgers equation for better modeling.

Discover how machine learning is tackling complex partial differential equations.

Exploring Rust's role in enhancing OS security and reliability.

MAARS framework enhances the security of timing-sensitive tasks in cyber-physical systems.

New framework for NPUs enhances resource sharing and reduces costs.

A novel method for analyzing cloud system performance through detailed simulations.

A new framework enhances task scheduling and timing in multi-threaded ROS 2 executors.

UBPF simplifies eBPF program management across diverse cloud environments.

CRISP safeguards cloud applications against rollback attacks, ensuring data integrity and security.

This article covers a system that manages communication between processes using sandboxes.

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.

LLload makes it easier to track job performance on HPC systems.

MIREncoder improves code optimization using multi-modal representation and machine learning.

SPOGA accelerates deep neural networks with improved speed and energy efficiency.

ConvBench offers a new way to assess convolution algorithm performance effectively.

Learn effective methods to estimate the energy footprint of software.

A new approach to reduce tail latency in applications using a dynamic thread pool.

This paper analyzes the importance of auto-tuning for AMD GPUs in high-performance computing.

A new framework estimates how deep learning models perform on various GPUs.

A guide to Yul's role in Ethereum smart contracts.

A new tool enhances Git merging by analyzing code dependencies.

This paper presents a framework for automated testbench generation using LLMs.

Qrisp simplifies quantum programming with user-friendly tools and high-level abstractions.

A new framework ensures compiler optimizations maintain program correctness.

A look at unreachable code and its impact on programming efficiency.

New methods aim to enhance the reasoning skills of language models.

Exploring choreographic programming with algebraic effects to enhance distributed application development.

SeFlow enhances motion estimation for self-driving cars using self-supervised learning.

Shadows enhance communication between humans and robots, improving understanding and interaction.

A new method improving sequence generation and decision-making in AI.

New method enhances 3D modeling without prior object knowledge.

A new framework enhances testing scenarios for autonomous vehicles in parking garages.

RoDyn-SLAM enhances mapping and tracking in environments with moving objects.

A new method improves robot learning with limited labeled data.

Research aims to enhance UUV efficiency through bio-inspired propulsion systems.

Analyzing TikTok videos related to the 2024 Presidential Election.

Exploring differential encoding and its impact on graph learning models.

This study analyzes how personal traits affect responses to misinformation warning tags.

Examining how misleading content affects mental health awareness on video platforms.

Research on enhancing information flow in networks by adding connections.

Exploring methods to protect privacy while sharing network data effectively.

A new method enhances urban analysis through better data representation.

New framework improves detection of unusual patterns in graphs.

Cedar offers a clear way to develop authorization policies for applications.

Simplified methods outperform complex agents in software problem-solving.

Examining methods to enhance code generation for specialized programming languages using LLMs.

New platform and dataset aim to enhance bug-fixing models for the Linux kernel.

ResearchBot aids developers by connecting them with academic research insights.

This study assesses how well GPT-3.5 and GPT-4 detect code clones.

A study on improving code security generated by AI models.

Learn about drift in ML and how to address it effectively.

This article discusses enhancing MUSIC with approximate computing for better performance.

A new system improves multi-instrument music transcription accuracy and efficiency.

A new model improves accuracy in speech-to-text capabilities across multiple languages.

Advancements in predicting speech quality using efficient methods for mobile devices.

A method to enhance timbre in music production through synthesizers.

This study evaluates speech technology in low-resource languages like Tunisian Arabic.

Research reveals risks in multi-task speech models like Whisper.

TokenVerse simplifies the analysis of spoken conversations by integrating multiple tasks into a single model.

Differentiable Tree Experts improves tree operations in artificial intelligence.

A look into techniques for counting regular graphs and their applications.

FEAS enhances automated theorem proving for functional equations using new strategies.

Exploring complex relationships in linear equations within abelian-by-cyclic groups.

CTSLAM enhances robotic localization and mapping using flexible data integration.

Research highlights methods to maintain dialogue consistency in restaurant-related conversations.

New method improves classification accuracy and adaptability through error detection.

Discovering connections between complex reflection groups and linear differential equations.

Learn how drones can safely navigate while avoiding obstacles.

A look into hosting capacity and dynamic operating envelopes in renewable energy.

Examine the role of hybrid multi-rate control systems in modern engineering.

EAGERx enhances robot learning by connecting simulations to real-world tasks.

Examining quantization techniques for better distributed learning across various network structures.

A new method for battery management using real performance data.

A method for agents to work together to improve data estimates.

Introducing a method for robots to navigate safely using control density functions.