Computer Science

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

This study assesses how medical LVLMs perform amidst hallucinations using a new dataset.

Super resolution techniques are complicating deepfake detection efforts significantly.

New methods improve legged robots' movement in complex environments using AI.

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

Two systems improve user guidance and verification in AI-generated data analysis.

An overview of mechanistic interpretability in transformer-based language models.

A step-by-step guide to effectively prepare and submit your academic work.

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

A multi-agent system aims to provide personalized mental health assistance online.

This article examines the latency of various speaker diarization systems in audio processing.

This project streamlines discharge summaries, reducing the documentation burden on doctors.

A new approach enhances the identification of medical terms in text.

Exploring how learning and memory influence language competition.

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

New dataset aims to improve voice recognition for non-native English speakers.

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.

An overview of graph polynomials and their relevance in various fields.

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.

Investigating how groups focus their attention in shared experiences.

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 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.

A look into game theory concepts that shape player decisions.

A look into fair resource distribution in housing.

This study assesses how medical LVLMs perform amidst hallucinations using a new dataset.

Mutual learning boosts performance and uncertainty estimation in Bayesian Neural Networks.

Super resolution techniques are complicating deepfake detection efforts significantly.

A new method improves material classification in hyperspectral images using graphs.

A new method improves road extraction accuracy using graph neural networks.

A new method for improved human motion forecasting using surrounding object information.

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

A new model enhances consistency and clarity in carotid ultrasound imaging.

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.

An overview of privacy risks and strategies for responsible AI use.

Exploring legal challenges posed by generative AI's rapid evolution.

Focus on Accessible Explainable AI for individuals with disabilities.

Examining changes in communication and vocabulary on social media over 34 years.

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.

Exploring backdoor attacks and graph reduction methods in GNNs.

A look into how quantum mechanics enhances secure information sharing.

Self-calibration streamlines PIN entry and enhances security without complicated setups.

This study examines privacy issues and protection methods for AI classifiers.

This study assesses advanced models for generating fake trip data and their practical applications.

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.

Explore the role of coresets in high-dimensional data analysis.

Exploring random cell complexes in mathematics and data analysis.

Learn how coresets improve efficiency in multiple regression analysis.

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 dataset accelerates seismic analysis using innovative machine learning techniques.

Learn how reference models can streamline design and enhance quality.

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.

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.

This article examines the link between GHZ states and graph theory.

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

Strategies for minimizing carbon emissions in datacenters through improved predictions.

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

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

A new system speeds up image creation while maintaining quality.

A new framework improves federated learning while ensuring data privacy.

A new system enhances ML model serving by combining accuracy and hardware scaling.

This method improves communication efficiency in federated learning while preserving data privacy.

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.

A look at barren plateaus and their impact on quantum algorithms.

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 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.

This framework optimizes decoder management for efficient quantum computing.

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

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

PainBit helps patients track their pain levels easily and effectively.

Two systems improve user guidance and verification in AI-generated data analysis.

AcuVR uses Virtual Reality to improve acupuncture training safety and effectiveness.

This article discusses the need for better text data visualization tools.

Using smart tools to assist the elderly with daily tasks.

Easily move subjects between images while preserving artistic styles.

Self-calibration streamlines PIN entry and enhances security without complicated setups.

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.

ITEM framework improves training and evaluation of GNNs for better recommendations.

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.

Examine how probability distributions change over time and their information loss.

This study focuses on improving wireless communication through advanced beamforming methods using deep learning.

New method improves efficiency in lossless image compression for binary 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.

A novel AI model provides accurate and clear treatment effect predictions.

BrainMAE approach enhances analysis of brain data using fMRI.

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

Mutual learning boosts performance and uncertainty estimation in Bayesian Neural Networks.

Enhancing speech synthesis for more natural and expressive voice generation.

A method to verify if LLM content is derived from copyrighted material.

Targeted protein degradation offers innovative methods against diseases by removing harmful proteins.

A step-by-step guide to effectively prepare and submit your academic work.

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.

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.

A new system enhances Zebra puzzle solving accuracy using AI agents and language models.

Study reveals how simple rules lead to complex patterns in various systems.

Examining interactions between agents in decision-making environments.

A fresh approach to decentralized systems that enhances agent collaboration and decision-making.

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.

Introducing MERGE datasets to improve emotion classification in music.

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

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.

Enhancing smart grid safety using honeypots and federated learning approaches.

This article discusses LR-FHSS and its role in improving IoT satellite communication.

6G technology aims to enhance wireless communication through reliability, low latency, and high data rates.

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.

New methods utilize neural networks to tackle complex time-fractional equations effectively.

Explore how financial knowledge shapes investment behavior and market involvement.

A new method for urban metro planning aims to improve efficiency and accessibility in Chennai.

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.

A method to mathematically represent plane graphs for simulations.

New techniques enhance stability and accuracy in structural dynamics simulations.

A look at how operator learning techniques enhance modeling of neural dynamics.

A study on using measurements and numerical methods to solve elliptic PDEs.

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.

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.

Simopt enhances FPGA design by leveraging simulation data for improved performance.

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.

Learn how type universes affect memory allocation in programming languages.

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

PWTO improves pathfinding for robots in complex environments.

New methods improve legged robots' movement in complex environments using AI.

Robots are changing how we live and work in various settings.

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

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

A new method enhances robots' ability to find objects in open environments.

A novel method for efficient decision-making in artificial intelligence using large world 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.

This research examines how Americans engage with political information on Facebook.

Study reveals the connection between politicians and their constituents' concerns.

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.

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

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

This article examines the latency of various speaker diarization systems in audio processing.

New dataset aims to improve voice recognition for non-native English speakers.

A new framework, BiosERC, improves emotion recognition by considering speaker traits.

This study examines how voice preferences vary among different listeners.

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

A new model enhances the simulation of string instruments for realistic sound.

Introducing a method for better control in speech editing.

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

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.

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.

Robots influenced by nature offer new possibilities in adaptability and performance.

Evaluating the impact of decentralized strategies on epidemic control and public opinion.

A new approach to improve Q-learning in continuous environments through symbolic models.