Computer Science

An exploration of how CoT prompting influences language model behavior and performance.

Discover innovative techniques improving the learning process of discrete-valued networks.

A look at splitfed learning and its benefits for IoT devices.

Exploring how unit interactions improve neural network training.

RoSAS improves anomaly detection using labeled data and innovative techniques.

A look into how ontologies improve automated planning systems.

A new method helps robots decide where to go in partially known areas.

A new approach enhances safety in reinforcement learning tasks without prior rewards.

An exploration of how CoT prompting influences language model behavior and performance.

This article reviews LLMs' potential in predicting mental health issues from online text.

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

Watermarking helps identify machine-generated text to ensure authenticity.

This article connects microrheology concepts with idea flow in language.

CliniDigest simplifies clinical trial summaries for better healthcare insights.

A fresh method for understanding musical relationships through dependency trees.

A new method improves dialogue accuracy and meaning with limited examples.

A new concept that merges computation and thermodynamics in Turing machines.

Investigating the Pilot Assignment problem's theories in Cell-Free Massive MIMO.

A look into how geophylogenies visualize species and their geographic connections.

A look into methods of obtaining randomness from structured sources.

A look into graph theory's role in identifying structures.

Explores stable subsets in cycles and their applications in computer science.

A look into Holant problems and their impact on counting challenges.

This article explores activation patterns in ANNs to differentiate learning styles.

Innovative models improve groundwater management and prediction accuracy.

Desbordante is an open-source tool for effective data profiling and quality improvement.

Introducing the BubbleML Dataset for advanced studies in boiling dynamics.

Learn the basics of multibody system dynamics and its applications.

New model enhances efficiency in analyzing material microstructures.

Learn how to optimize cloud costs with simple strategies and effective resource management.

A new method enhances Gaussian mixtures for better predictions in complex distributions.

New methods improve blood flow studies using advanced neural networks.

A detailed look at topologically attributed graphs for efficient shape classification.

This study focuses on identifying paths in networks of disks.

Exploring light reliable spanners and their impact on networks.

A look at how Möbius homology reveals connections in posets.

Discover how convex polygons in 3D depict graph connections effectively.

A method for efficiently managing independent sets of disks in computational geometry.

Exploring a novel approach to calculating Betti numbers using quantum computing.

A guide to reducing dimensions in high-dimensional data while preserving distances.

Examining how incentives shape statistical practices in scientific studies.

A look at factors influencing cooperation among individuals in shared resource scenarios.

Explore the dynamics and strategies of bidding games between players.

An analysis of decision-making in gambling with limited information.

Research tackles the Maximum Weighted Digraph Partition problem for optimal graph division.

Learn about the extortion threats facing Ethereum validators and ways to mitigate risks.

Examining how incentive structures affect validator behavior in decentralized networks.

Discover advancements in decentralized Q-learning for multi-agent systems.

New framework improves object location accuracy using relative positioning.

A new method estimates mouse body poses from unlabelled images using synthetic data.

A new method enhances safety by accurately detecting unusual road situations.

New method simplifies creation of accurate 3D models from few images.

A new method enhances image recognition through better attribute handling.

Transform your fashion images by just speaking your edits.

A system combining ultrasound and CT/MRI for better medical decisions.

METAVerse improves terrain traversability predictions for autonomous vehicles.

A study on user awareness and effectiveness of YouTube's recommendation features.

ChatGPT makes data analysis accessible for those without advanced skills.

Introducing a mechanism for conditional commitments to improve global climate cooperation.

Ideas to enhance climate policy discussions among countries.

ChatGPT provides human-like responses in various fields, showcasing its potential and challenges.

A look at designing AI with fiduciary responsibilities to ensure user trust.

Research highlights methods to protect gender privacy in spoken audio.

Examining how the order of candidate evaluation affects hiring outcomes.

Exploring advanced methods to enhance data privacy in machine learning using quantum techniques.

Exploring the impact of quantum algorithms on cryptographic security regarding the discrete logarithm problem.

Jellybean, a novel technique, enables secure connections without shared secrets.

Discover how non-local correlations influence communication and cryptography.

A new approach improves polynomial modular multiplication for secure data processing.

A new approach to improve hardware fuzzing efficiency using PSO.

Exploring the role of STT-MTJ technology in enhancing random number generation.

SIP balances data sharing and privacy for real-time applications.

This study presents a method for improving Regular Path Queries using Boolean matrices.

Exploring how Fermat distances improve data analysis and clustering techniques.

A look into graph theory's role in identifying structures.

Discover the significance and complexity of finding cliques in networks.

Exploring the complexities of clustering in changing graphs.

A new way to manage relationships in mathematical structures for better performance.

Explores stable subsets in cycles and their applications in computer science.

A deep dive into how temporal networks track interactions over time.

Auto-Tables automates the conversion of non-relational tables for easier data analysis.

This study presents a method for improving Regular Path Queries using Boolean matrices.

Desbordante is an open-source tool for effective data profiling and quality improvement.

A new approach to handle missing data in SQL without nulls.

Introducing a new model for improved air quality predictions.

Exploring how blockchain technology can reshape copyright management for creators.

A study investigates fairness in Yelp's recommendation and ranking systems.

SJTU-H3D provides essential tools for evaluating the quality of digital humans.

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

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

A novel method aids in recognizing uncertainty within research texts.

A tool for maintaining confidentiality and integrity in research data management.

An overview of key papers on NLP and ML from early 2023.

A resource connecting global authors and works, focusing on underrepresented voices.

Examining how skill alignment enhances research outcomes in academic institutions.

This study examines how hyperauthorship affects the assessment of scientific collaboration.

Explore how Condorcet domains shape collective decision-making in voting.

Exploring the balance of graph colorings and their implications in mathematics.

A look into how geophylogenies visualize species and their geographic connections.

A look into methods of obtaining randomness from structured sources.

Exploring how vertices work together in graph structures.

Examining different game models of Cops and Robber on directed graphs.

A look into independent sets, Boolean networks, and their complexities.

A look at how data cohesion improves analysis and clustering.

HUGE simplifies graph embedding for large datasets using TPUs.

A new algorithm streamlines communication in feature-distributed data analysis.

An overview of labeled graphs and their verification properties.

A new approach streamlines transaction processing in decentralized systems.

A new marketplace that democratizes AI model training and data sharing.

Explore strategies to enhance information sharing in large networks.

A method to efficiently recycle consensus objects in distributed systems facing Byzantine failures.

A look into efficient sparse matrix-vector product implementations for scientific applications.

Exploring the role of STT-MTJ technology in enhancing random number generation.

A novel method enhances DNN performance for real-world applications.

This article explores new computing methods inspired by biological systems.

A new method improves Ising machines' efficiency in solving complex optimization problems.

A look into hyperdimensional computing's methods and benefits.

Exploring the dangers of backdoor attacks in Quantum Neural Networks.

Exploring how to measure and improve the reliability of NISQ devices.

New framework improves QNN training with encrypted data and privacy protection.

A look into counter nets, their functions, and unresolved questions.

A method for analyzing and categorizing complex systems through partitioning.

Explore the dynamics and strategies of bidding games between players.

This article discusses regular languages and their significance in formal systems.

An overview of tree transducers, focusing on macro tree transducers and their key properties.

A look into how forgetting-limited automata process information and compare to other machines.

Exploring new definitions and applications of Dyck languages in two dimensions.

Researching structures and methods for quick information retrieval in text.

Streamlining the creation of SDQ meshes for better fabrication processes.

A new method improves the creation of realistic character movements in animation.

A new method to explore periodic behaviors in datasets over time.

A new tool streamlines the process of creating animated text using GIFs.

A method for artists to easily manage textures and shapes in their work.

A look into how ML and human input shape effective taxonomies.

A new approach to improve graphics quality in video games through neural networks.

Discover how smartphone technology simplifies long exposure photography for everyone.

A new approach improves polynomial modular multiplication for secure data processing.

A look at how reservoir computing tackles time-dependent data challenges.

MASE simplifies and speeds up ML accelerator development for modern machine learning models.

BearingPGA-Net offers an efficient way to diagnose bearing faults using FPGA technology.

New codes improve memory device reliability against soft errors effectively.

Exploring risks of data leaks in CPU-GPU integrated systems.

PATRONoC improves data transfer efficiency in deep learning applications.

E-graphs simplify verification processes for datapath circuits, enhancing efficiency and accuracy.

Two methods aim to enhance data labeling for better classification results.

A study on user awareness and effectiveness of YouTube's recommendation features.

A study introduces automated methods for evaluating dog behavior, reducing bias and improving efficiency.

This paper explores misleading data connections and their impact on decision-making.

A four-step method to promote ethical AI development across various roles.

Vibrations on the body may help improve focus during attention tasks.

Peanut streamlines audio-visual data labeling, enhancing speed and accuracy.

A new system that improves gaze tracking calibration for better user experience.

A study introduces automated methods for evaluating dog behavior, reducing bias and improving efficiency.

New model enhances predictions for bladder cancer therapy outcomes using patient traits.

A novel approach enhances recommendation systems using offline RL and transformer models.

New methods for item suggestions use user language for better results.

A study on using sound recordings to identify different bird species in Africa.

This article presents a new model for better video recommendations based on user scrolling habits.

A look at the effectiveness of recommendation metrics in user experiences.

Learn how recommendation systems can achieve both accuracy and diversity.

An analysis of Ferrers diagrams and their role in rank-metric codes.

Explores the importance of tokenization methods in enhancing natural language processing models.

A look at new methods for efficient data recovery from low rank matrices.

Research highlights methods for improving accuracy in locating devices using a single anchor.

A new method for studying complex systems using machine learning to identify key variations.

Addressing nonlinear distortion in massive MIMO systems through innovative noise cancellation techniques.

Learn how variational autoencoders enhance estimation in wireless communication.

Researchers introduce an innovative protocol for accurately estimating bosonic Hamiltonians.

A new approach to analyzing Hercules' fight against the Hydra using term rewriting.

Exploring the link between continuity and type theories in programming.

A look into using SSR processors for program termination analysis.

A look at how reduction orders ensure system processes finish successfully.

A look into graph theory's role in identifying structures.

Examining the valuable connections between weighted automata and logic in computation.

Recent developments enhance WPO efficiency in proving program termination.

Simplifying relation algebra through first-order logic translations.

New techniques improve molecular dynamics and drug design sampling methods.

Exploring the connection between neural networks and field theories for enhanced insights.

Exploring advanced methods to enhance data privacy in machine learning using quantum techniques.

Innovative methods improve training efficiency in deep neural networks.

Discover innovative techniques improving the learning process of discrete-valued networks.

A look at splitfed learning and its benefits for IoT devices.

Exploring how unit interactions improve neural network training.

RoSAS improves anomaly detection using labeled data and innovative techniques.

FFTc aims to improve FFT computations across hardware platforms.

Examining how one factor influences another through data and methods.

Scylla offers an efficient method for tackling mixed-integer optimization problems.

Streamline causal analysis using Tetrad combined with Python and R.

Graph4J offers an efficient Java library for graph algorithms using simple structures.

Exploring new methods for efficient data storage and computation.

Discover EDOLAB, a platform for tackling changing optimization problems.

CDL aids in studying permutations and arrangements in computer and social sciences.

A new approach to improve private data trading accuracy and privacy.

This paper introduces responsibility anticipation for better decision-making in multi-agent interactions.

AI research focuses on improving human-like communication in artificial agents.

MetaGPT enhances collaboration among agents for more effective task-solving.

A new framework improves safe learning among robotic agents by addressing experience sharing risks.

A new method enhances federated learning security against data poisoning attacks.

Discover advancements in decentralized Q-learning for multi-agent systems.

Investigating how markets can reach equilibrium with asynchronous actions.

A new approach to enhance image labeling accuracy in machine learning.

A new method improves action recognition by using fewer frames without losing important context.

A new method enhances how images match text inputs.

Exploring how blockchain technology can reshape copyright management for creators.

A new way to assess health using just a smartphone image.

A new tool streamlines the process of labeling video data effectively.

A new method combines image style and content to interpret emotions accurately.

FAST revolutionizes scene text editing with natural modifications and flexibility.

A look into the rise of larger IPv6 address lists and their implications.

Learn how to enhance wireless networks for critical industries.

Explore strategies to enhance information sharing in large networks.

This article discusses multicast polling to enhance IoT network efficiency and energy use.

A tool transforms single-threaded network functions into efficient multi-threaded versions.

Addressing nonlinear distortion in massive MIMO systems through innovative noise cancellation techniques.

Exploring the evolution and future challenges of wireless communication technologies.

A new BFT system enhances transaction inclusion and resistance to censorship.

New method enhances learning in Spiking Neural Networks by incorporating delay adjustments.

RAVENS mimics brain function to create adaptive computer chips.

A look at how reservoir computing tackles time-dependent data challenges.

Quantum state assignment flows enhance data analysis through flexible label assignments.

Exploring new methods for training recurrent neural networks effectively.

Exploring biological insights to enhance Deep Learning technologies.

This article examines how biological models enhance AI through spiking neural networks.

This study examines how algorithm components affect performance in multiobjective optimization.

Using deep neural networks to analyze heat conduction data and identify potential functions.

Learn how the Arnoldi algorithm aids in matrix function approximations.

New methods improve accuracy and efficiency in electromagnetic simulations.

Exploring Vieta-Lucas wavelets for effective solutions to complex equations.

This study provides new insights into planar spline dimensions and their uses.

Exploring how fluids interact with solid materials, impacting engineering and medicine.

Enhancing stochastic modeling accuracy through new methods for estimating drift and diffusion.

A new framework improves predictions for complex hyperbolic PDEs with discontinuities.

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 look at new systems improving insulin delivery and blood sugar monitoring.

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.

A deep dive into FaaS performance and its impact on cloud computing.

A new automatic scheduler improves performance for image processing on edge devices.

A new processing unit improves computing with posit numbers.

Federated Learning enables data privacy while improving machine learning collaboration among diverse participants.

Industry and academia unite for better biomedical data processing.

Study analyzes CrUX dataset to improve web user experience metrics.

Explore a new method for efficient storage of sparse matrices to enhance performance.

Enhancing data pipelines can improve deep learning recommendation systems' performance.

This study reviews API contract requirements found in developer discussions online.

This article examines how language models generate Verilog code effectively.

This article reviews the RRTF framework's impact on Code LLM performance.

Learn how lintcstubs enhances OCaml-C code safety and correctness.

nelli makes working with MLIR easier for developers.

A new method enhances verification of event-driven multi-threaded applications.

This article discusses regular languages and their significance in formal systems.

Learn about gradual sensitivity typing and its role in enhancing programming security.

AutoDRIVE combines real-world tests with simulations for smarter driving solutions.

A new method helps robots decide where to go in partially known areas.

METAVerse improves terrain traversability predictions for autonomous vehicles.

A novel approach to reconstructing 3D scenes from single images in robotics.

A new framework enables robots to learn tasks using language and efficient data generation.

Robots improve touch tasks by focusing on important tactile features.

A new method enhances robot performance by using waypoints in imitation learning.

This article explores how drones use reinforcement learning for safe navigation in forests.

Understanding how social media shapes perceptions of information reliability.

A study on user awareness and effectiveness of YouTube's recommendation features.

New methods help identify time scales in complex networks.

Research reveals how sperm whales adapt vocal behaviors through social learning.

HUGE simplifies graph embedding for large datasets using TPUs.

Anonymized movement data sheds light on human behavior in cities.

Learn how recommendation systems can achieve both accuracy and diversity.

We developed a method to identify triggering content in fanfiction using machine learning.

Examining code snippets' impact on feedback in software development.

This study reviews API contract requirements found in developer discussions online.

This article examines how language models generate Verilog code effectively.

Exploring AI's role in improving software project management and efficiency.

A new model streamlines code updates between programming languages.

This article reviews the RRTF framework's impact on Code LLM performance.

CodeLens helps developers visualize and interpret code structure efficiently.

This study assesses Hugging Face Hub's potential for empirical software engineering research.

GOLF offers a fresh approach to create human-like singing using fewer resources.

Research on predicting age and gender from voice data using innovative models.

A fresh method for understanding musical relationships through dependency trees.

This article discusses new models that enhance speech recognition accuracy by considering longer context.

LyricWhiz combines advanced models to improve lyric transcription accuracy across languages.

A study on using sound recordings to identify different bird species in Africa.

Learn how recommendation systems suggest songs based on user preferences.

This article discusses challenges and techniques for managing dataset imbalance in audio classification.

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

Examining how factoring resultants can enhance cylindrical algebraic decomposition methods.

This article simplifies linear differential equations and their characteristics.