Computer Science

Leveraging LLMs to clarify complex supply chain optimization results.

New methods aim to make complex neural networks simpler and more interpretable.

Examining the gap between language models and true intelligence.

Graph Neural Networks transform how we analyze time series data for better predictions.

Combining audio, video, and text enhances detection of hate speech.

A novel approach simplifies privacy attacks in machine learning models.

Learn how to improve graph neural network training and avoid common pitfalls.

A new method localizes specific tasks in language models using desired outcomes.

Leveraging LLMs to clarify complex supply chain optimization results.

MDace provides a crucial resource for enhancing medical coding accuracy through evidence support.

Examining the gap between language models and true intelligence.

New tools make it easier to run powerful language models on standard hardware.

This article discusses methods to connect quotes in literature to their speakers.

INT-FP-QSim helps improve performance of language models with low precision.

Combining audio, video, and text enhances detection of hate speech.

Study examines how word predictability affects reading times in multiple languages.

Exploring matroid connectivity and its implications for quantum computing.

Exploring composition theorems and property testing in large datasets.

Examining how combining Boolean functions affects their complexity measures.

Exploring quantum proof systems that lack relative phase in validating statements.

A look into the Uhlmann Transformation Problem and its significance in quantum information.

A look into the challenges of decision tree learning, especially with queries.

Research highlights the minimum size for a Kochen-Specker system in quantum mechanics.

Exploring locally irregular graphs and their implications across various fields.

Automated methods reveal insights into octahedral network structures in materials.

DNABERT-2 enhances genomic data analysis through improved tokenization techniques.

Research on granular materials aids rover design for lunar exploration.

Discover how AESs assess code and support various programming needs.

A new framework combines machine learning and grain size to predict metal deformation.

A new model improves predictions for systems with multiple interacting agents.

Combining data-driven methods with classical models enhances material behavior understanding.

LendingClub can leverage data to enhance decision-making and drive profitability.

This study optimizes the location of preferable and undesirable facilities.

A new framework enhances data analysis by addressing multiparameter challenges.

New methods for faster solutions to TSP and MST problems.

Examining the role of flip-width in the complexity of geometric graphs.

A new approach to create quality meshes using grid-based techniques.

Exploring how to cover geometric graphs with star-forests efficiently.

This article explores how to estimate set sizes using point samples and polynomial volume functions.

A new algorithm for grouping similar movement paths in large datasets.

Triangle fees adjust based on trade size, improving efficiency for traders.

A new approach to fairly reward data contributions in federated learning.

Explore strategies in two-player games with shared resources and different information.

Examining driver behavior and the impact of V2V technology on road safety.

Study reveals optimal auction strategies for repeat buyers to maximize seller profits.

Miners enhance rewards through strategic connections and reduced latency.

Examining power allocation strategies for secure communication in wireless systems.

This article explores the concept of conditional beliefs in decision-making among players.

A novel weight initialization method enhances segmentation accuracy in medical imaging.

This study presents a method to create 3D shapes from sketches without paired data.

NCD helps classify unknown data categories using labeled and unlabeled data.

A new method improves pedestrian movement predictions for autonomous vehicles.

LDMs enhance out-of-distribution detection in 3D medical imaging.

INT-FP-QSim helps improve performance of language models with low precision.

Combining audio, video, and text enhances detection of hate speech.

A framework combines CT scans and clinical data to improve survival predictions for RCC patients.

A study on detecting subjective statements in news articles using advanced techniques.

Efforts to detect and address sexism on social media platforms.

Examining challenges of RTBF in the context of Large Language Models.

This article reviews risks tied to text-to-image technologies like bias and misinformation.

A new system improves mental health tracking through personal device data.

Examining how data order impacts fairness in machine learning models.

A new method to improve fairness in federated learning models while maintaining privacy.

DBFed aims to reduce bias in AI while maintaining data privacy.

A novel approach simplifies privacy attacks in machine learning models.

Innovative methods for clustering while ensuring differential privacy in changing datasets.

A new system improves vector commitments for efficient data verification.

Learn how to secure timely data exchange while preventing eavesdropping.

Examining weaknesses in DSA and ECDSA for improved security insights.

A look at differential privacy and its role in protecting sensitive data.

ID cards improve security and attendance in schools and hostels.

A look at LNet-SKD's role in improving network security.

New methods improve efficiency in clustering large datasets for better insights.

Learn how streaming algorithms process large data streams efficiently and robustly.

Innovative methods for clustering while ensuring differential privacy in changing datasets.

Exploring composition theorems and property testing in large datasets.

Exploring methods of keeping data private while analyzing trends effectively.

Analyzing memory and query efficiency in randomized convex optimization algorithms.

A look at how to optimize selections under budget constraints.

ICE algorithm improves performance in linear classification for critical fields.

A new system enhances Knowledge Graph use for both communities.

Exploring deep learning's role in visualizing changes over time.

IMPTC dataset captures vital data for safe automated vehicle navigation.

AI tools are transforming how we create and manage Knowledge Graphs.

cjdb offers a straightforward way to store 3D city models in PostgreSQL.

Learn how PG-Triggers can streamline data management in graph databases.

A framework combining results reuse and workload sharing boosts data analysis speed.

LearnedSort uses machine learning to enhance sorting speed and efficiency.

A new tool helps researchers collect text data from 4chan easily.

Researchers face challenges amidst an explosion of new scientific papers.

A system to categorize historical articles using roles and aspects.

This study enhances patent image classification using advanced deep learning techniques.

This article examines teamwork between schools and businesses in NLP.

A new dataset captures citations from papers without DOIs in Computer Science.

A new method for extracting keywords from texts without external databases.

Research is evolving to include essential datasets and software for validation.

A look into codes in graphs and their roles in various fields.

Leveraging LLMs to clarify complex supply chain optimization results.

A look into Ramsey numbers and their significance in graph theory.

Explore the strategic game of cops and robbers played on graphs.

A new approach to improve image segmentation accuracy and reduce errors.

Exploring locally irregular graphs and their implications across various fields.

A look at how random methods affect communication in graphs and matrices.

A look into labeling schemes for maintaining graph connectivity amidst vertex failures.

New methods enhance data decompression speed on GPUs, optimizing resource use.

A new method improves network slicing management with attention mechanisms.

A new approach to fairly reward data contributions in federated learning.

DBFed aims to reduce bias in AI while maintaining data privacy.

MG3MConv offers improved efficiency for convolution tasks on the SW26010 processor.

This article discusses efficient methods for verifying lock-sharing systems against potential issues.

Examining pretrained transformers for multitask learning and communication efficiency in federated settings.

Examining mutual exclusion and the impact of register types on algorithms.

Molecular communication opens new ways to transmit information using tiny molecules.

New method reveals overlooked energy challenges in MAGIC design for memristors.

A look at how in-memory computing is changing data processing.

New methods improve the accuracy of nanodevices in medical applications.

New flexible memristors can mimic neuron behavior through mechanical pressure.

Exploring the challenges and defenses in quantum adversarial machine learning.

AIMC enhances efficiency in deep neural networks by processing data within memory.

A new MIV-transistor design enhances performance in 3D integrated circuits.

New methods improve the handling of string constraints in programming.

New algorithm greatly improves efficiency in simulating labeled transition systems.

This article discusses efficient methods for verifying lock-sharing systems against potential issues.

A new approach to evaluate the performance of probabilistic programs using VASS.

Examines safety and liveness concepts in quantitative automata for system verification.

Examining how word pairs can transform through conjugacy in rational relations.

Learn how backreferences enhance regular expressions for complex text patterns.

An overview of finite languages, DFA, and their analysis.

New technologies improve maintenance of solar panels for better energy output.

A new method enhances real-time rendering for glossy surfaces in dynamic lighting.

A new method creates realistic videos by mimicking facial expressions from self-scans.

Developing systems for machines to create realistic, context-aware gestures.

HyperDreamBooth creates unique images from a single photo quickly and effectively.

New methods enhance personal image creation using simple prompts.

NEAT revolutionizes 3D modeling by utilizing neural networks for enhanced wireframe accuracy.

A study evaluates how well different visualizations reveal data changes.

New techniques in digitization improve efficiency in deep learning and data processing.

A look at how in-memory computing is changing data processing.

Discover how SNNs and FPGAs create efficient AI solutions.

A method to secure NoC layouts against unauthorized access is proposed.

A look into alternative number systems enhancing DNN performance and efficiency.

CIM technology enhances MCMC sampling speed and energy efficiency for complex data analysis.

A simple model improves prefetcher selection, boosting performance up to 25%.

The eGPU enhances soft processing capabilities within FPGAs for diverse applications.

CORAE helps researchers understand feelings during social interactions.

How system admins use online communities for patch management decisions.

Exploring how game design impacts player experience through challenge perception.

ID cards improve security and attendance in schools and hostels.

This article investigates LLMs' impact on research practices and ethical considerations.

A new framework to improve deep learning models for time series data.

Using sensors to ensure safety for older adults living independently.

A groundbreaking approach using RF signals for hydration monitoring.

A look at how figures enhance scientific communication.

A new framework for improving search and recommendation systems through long-term objectives.

Exploring a new method for improving personalized recommendations using causal reasoning.

Exploring methods to enhance recommendations with knowledge graphs and machine learning.

New toolkit improves access to synthetic data for model training in IR.

Analyzing fairness in recommendation systems using counterfactual explanations.

A new model improves relation extraction from structured data using neural networks.

Study examines methods for detecting unusual patterns in social media behavior.

Learn how rateless codes improve communication in uncertain channels.

Molecular communication opens new ways to transmit information using tiny molecules.

A look at lensless imaging benefits and future in medical applications.

This study focuses on pulse shaping in Delay-Doppler communications for improved wireless performance.

Learn how BCH codes enhance error correction in data transmission and storage.

Learn how to secure timely data exchange while preventing eavesdropping.

STAR-RIS technology offers improved signal transmission for better communication performance.

System Information Decomposition offers deeper insights into variable interactions.

A look into how quantum mechanics transforms information processing.

A look at common meadows and their role in arithmetic error management.

Explore the role of categories and applicative structures in mathematics and computer science.

This article discusses efficient methods for verifying lock-sharing systems against potential issues.

A look into safety analysis in distributed systems using non-blocking rendezvous.

Research on creating effective strategies for systems operating under uncertainty.

This study investigates the synthesis problem in shared and partitioned processes.

A detailed exploration of formalizing category theory in mathematics.

A new model improves predictions of turbulent fluid behavior using advanced techniques.

A comprehensive dataset aids in studying elastic wave properties below the Earth's surface.

A new method improves user experience in brain-computer interfaces.

Automated methods reveal insights into octahedral network structures in materials.

Researchers improve methods to spot distant planets beyond our solar system.

Leveraging LLMs to clarify complex supply chain optimization results.

New methods aim to make complex neural networks simpler and more interpretable.

A study on how Transformers enhance memory and struggle with credit assignment in RL.

New software enhances XCT imaging with machine learning and data consistency.

Study investigates the impact of noise on matrix profile analysis of time series data.

Optimizing sparse tensor operations for improved performance and efficiency.

A deep dive into testing practices for interval arithmetic libraries.

MindOpt Tuner optimizes numerical software performance by automating hyperparameter adjustments.

Exploiting GPUs to tackle complex assignment challenges in logistics and manufacturing.

Open-source toolkit enhances Raman spectroscopy analysis across various studies.

FFTc aims to improve FFT computations across hardware platforms.

A new text-based environment helps machines learn real-world tasks using scripts.

A new model improves predictions for systems with multiple interacting agents.

Miners enhance rewards through strategic connections and reduced latency.

A look into safety analysis in distributed systems using non-blocking rendezvous.

An exploration of how beliefs and values shape decision-making.

A framework for reasoning about knowledge with limited depth.

This article discusses using tax schemes to influence agent behavior in multi-agent systems.

Explores different types and implications of responsibility across various fields.

New methods enhance how models select frames for answering questions from videos.

A new method enhances video call quality while saving bandwidth.

A method for creating artistic line drawings from photographs with user control.

New dataset enhances video-text tasks for Indonesian speakers.

Research aims to combine audio and symbolic data for music similarity analysis.

New methods improve watermark removal while preserving image quality.

A new method enhances hate speech detection by combining text, images, and discussion context.

AI predictions improve service for extended reality users on advanced networks.

A new method improves network slicing management with attention mechanisms.

A study of solar-powered urban sensors highlights challenges and opportunities in city monitoring.

New methods improve the accuracy of nanodevices in medical applications.

A fresh approach to virtual network requests enhances resource management for service providers.

Combining AI and verification tools enhances router configuration accuracy and reduces manual work.

Miners enhance rewards through strategic connections and reduced latency.

New strategies enhance channel selection for faster, more reliable Wi-Fi 7 connections.

A new protocol aims to enhance data freshness in wireless communications.

Discover how SNNs and FPGAs create efficient AI solutions.

A new model improves predictions for systems with multiple interacting agents.

New methods improve accuracy and efficiency in spiking neural networks.

New methods enhance the accuracy of company valuation through AI-driven peer identification.

A look into alternative number systems enhancing DNN performance and efficiency.

A look at methods improving the training of language models effectively.

Exploring the potential of spiking neural networks in real-time processing.

Joint commitments and reputation are key to social cooperation.

Improvements in the Kaczmarz algorithm enhance its efficiency and speed.

A new method improves accuracy in piezoelectric MEMS models using DPIM.

New methods improve solutions for complex boundary value problems using radial basis functions.

An overview of the IMEX-RK method for solving stiff and non-stiff equations.

This article examines group sparsity in solving complex data challenges across various fields.

Improving plasma predictions through advanced computational methods for nuclear fusion.

Utilizing ANOVA for efficient function approximation in complex data analysis.

New solver improves efficiency in Stokes flow calculations critical for various fields.

Discover how ZNS devices simplify SSD data management and improve efficiency.

LibPreemptible improves scheduling in cloud applications, reducing delays and enhancing performance.

Addressing the need for accurate sustainability in data centers.

Introducing a framework for better application isolation and resource sharing.

Analyzing issues in predicting future actions in ongoing processes.

Learn how compartmentalization improves software security by limiting access and interaction.

A new method for efficient data sharing between cloud functions.

This article reviews Linux API usage in various applications and highlights key findings.

A new framework helps scientists communicate and design better experiments.

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.

New tools make it easier to run powerful language models on standard hardware.

This article reviews methods for detecting anomalies in vehicle CAN communication.

A new method enhances GPU setups for fluid dynamics simulations via machine learning.

Optimizing sparse tensor operations for improved performance and efficiency.

A look at methods improving the training of language models effectively.

A study on an improved blockchain consensus protocol allowing node repairs.

New algorithms improve decision-making by addressing advice reliability in uncertain environments.

Examining the true capabilities and limits of quantum computers today.

Combining AI and verification tools enhances router configuration accuracy and reduces manual work.

A look at new subtyping methods for context-free session types in programming.

Optimizing sparse tensor operations for improved performance and efficiency.

This framework simplifies the analysis of software costs and behaviors for better development.

A new approach integrating internal parametricity into type theory, enhancing reliability.

Learn essential functional design patterns for efficient software development.

A look at improving traffic data management through Application-Specific Natural Language.

Learn how constrained type systems improve data interaction in programming languages.

New dataset enhances SLAM systems for better robot navigation.

A robot approach to efficient tableware cleanup using multiple item collection strategies.

New method enhances robot touch sensing by combining proximity and tactile information.

CORAE helps researchers understand feelings during social interactions.

New methods improve how robots learn from each other.

Researchers develop methods for robots to learn human-like movements efficiently.

A new control system helps legged robots move better in various conditions.

A new method combines planning and learning for better robotic manipulation.

A new method predicts how information spreads on WeChat and Weibo.

How system admins use online communities for patch management decisions.

A new tool helps researchers collect text data from 4chan easily.

Examines how social influence affects lending decisions in peer-to-peer platforms.

Curiosity-driven methods improve exploration strategies in artificial intelligence.

A study on the impact of echo chambers and polarization in online discussions.

A look at influence maximization through hypergraphs and the HCI-TM algorithm.

New approach improves GNN performance on complex data relationships.

Discover how Copilot for Xcode helps developers code more efficiently.

Discover how AESs assess code and support various programming needs.

Assessing the effectiveness of tools in finding bugs within popular ML libraries.

A new system to enhance the code review process and ensure quality.

Learn how sparse sets enhance efficiency in constraint solving and formal verification.

COMEX simplifies source code views for better machine learning applications.

A study on how Ubuntu manages software package dependencies over time.

Exploring how LLMs can aid in property-based testing for software.

Combining audio, video, and text enhances detection of hate speech.

This article discusses a new method for building efficient ASR systems.

A new method using Graph Neural Networks improves Roman Numeral analysis for music.

Teams improve animal sound identification with few examples in DCASE challenge.

Learn about audio tagging systems and their use on Raspberry Pi.

New techniques improve accuracy and efficiency in identifying cover songs.

New method improves noise control in 3D spaces.

This study assesses various models for predicting synthesized speech quality.

Explore the role of Gröbner bases in solving polynomial equations.

Learn how simplifying regular expressions can enhance their clarity and efficiency.

Techniques to assess security properties of cryptographic protocols.

This article discusses enhancing machine learning models using polynomial data balancing and augmentation.

Learn about creative telescoping for calculating definite sums efficiently.

This article discusses the finite expression method for solving complex state transitions.

This article explores a new dataset focused on inequalities in mathematics.

Examining how factoring resultants can enhance cylindrical algebraic decomposition methods.

A new method improves network slicing management with attention mechanisms.

This article presents a new method for efficient irrigation using machine learning techniques.

Learn about audio tagging systems and their use on Raspberry Pi.

Learn how the Koopman operator enhances analysis of complex systems.

A new approach improves fairness in reinforcement learning using human feedback.

New techniques improve tracking accuracy in challenging radar environments.

A look at Krasovskii passivity and its impact on control systems stability.

New techniques enhance quadcopter performance for complex tasks.