Computer Science

New methods for selecting examples enhance performance in language models.

New method enhances translation quality through better example selection.

A new method enhancing AI's decision-making transparency without sacrificing accuracy.

ChipGPT makes chip design simpler using everyday language for engineers.

Gaze detection technology reveals insights into human behavior and enhances user experiences.

A new approach uses clustering indices for faster model selection in data science.

A new method combines transfer learning with CycleGAN to improve target detection.

New method improves detection of vulnerability fixes in third-party libraries.

This tool helps researchers create flexible annotation systems tailored to their needs.

Exploring the role of label words in enhancing in-context learning for language models.

New methods for selecting examples enhance performance in language models.

New method enhances translation quality through better example selection.

This study assesses the performance of language models on Brazilian Portuguese tasks.

Research shows language models can improve summary accuracy evaluations.

Assessing how language models comprehend visual and embodied concepts.

This research introduces a new method to reduce gender bias in multilingual translation models.

A look into how graph convexity shapes relationships between vertices.

This article discusses new methods for efficient prime number generation using pseudodeterministic algorithms.

Research highlights the role of advice in quantum phase estimation algorithms.

New methods improve efficiency in solving complex interval algebra problems.

A look at organizing partially ordered events in computer science.

Local search methods provide effective solutions for graph partitioning challenges.

A look into the Closest String problem and its applications in various fields.

Celebrating the life and impact of Ted Swart on his students and colleagues.

New techniques improve detection and analysis of chirp signals in various fields.

Advancing chemical reactor design through multi-fidelity simulations to improve efficiency.

Enhancing accuracy in numerical solutions with goal-oriented error estimation.

A new method improves car design evaluations through 2D representations.

This study presents innovative techniques for analyzing brain activity via fMRI.

A new method merges machine learning with finite element analysis for thermoelasticity.

This method simplifies design while enhancing manufacturing efficiency.

Researchers improve heat transfer analysis using GPUs and DSL for faster calculations.

TrueKNN improves neighbor search by dynamically adjusting the search radius.

A method for analyzing complex point data using 2-complex structures.

A look into the Closest String problem and its applications in various fields.

A new method enhances how we process complex data by recognizing symmetries.

AUC-opt aims to enhance the Area Under the ROC Curve for classification models.

A look into the Steiner Tree problem and its applications across various fields.

A new method enhances how we compare geometric graphs efficiently.

A novel approach to efficiently list paths on polyhedral surfaces.

Examining how candidates adjust platforms based on voter preferences during campaigns.

Examining fairness in distributing goods and chores among individuals with different needs.

This article examines regular distributions and their impact on economic modeling and pricing strategies.

A new approach to content ranking enhances stability for publishers and users.

Examining the impact of preference averaging in AI decision-making ethics.

A model for enhancing user satisfaction through strategic information sharing.

Study on agents' strategy improvement through non-Markovian rewards in competitive settings.

A systematic algorithm examines process behaviors, including silent actions for better analysis.

Examining bias in AI algorithms affecting medical diagnoses for diverse populations.

Techniques to improve model performance amid varying image conditions.

Assessing how language models comprehend visual and embodied concepts.

Sparse4Dv2 improves self-driving car systems by enhancing environmental understanding.

Analyzing the role of simulations in autonomous vehicle safety and their limitations.

New methods enhance training efficiency and model performance using IKL loss.

This approach enhances image generation accuracy from text prompts.

A new dataset aims to improve AI understanding of video content through keyframes.

This study uses machine learning to gauge feelings about the U.S. through quotes.

A look into federated learning's impact on privacy and fairness.

Students’ beliefs about future earnings shift with AI discussions.

Strategies to ensure diverse representation in search results.

This study examines police deployments across New York City using rideshare dashcam footage.

Examining how chatbots handle sensitive information and privacy issues.

A new system simplifies privacy policy annotations for better public awareness.

A study on how sources shape news articles.

New method improves detection of vulnerability fixes in third-party libraries.

Examining the impact of speech technology on personal privacy.

A new framework enhances language model security against harmful data manipulation.

A look at new methods to combat data poisoning attacks in machine learning.

Examining the clash between generative AI and copyright laws.

Instruction tuning raises concerns over security vulnerabilities in large language models.

Investigating discrepancies in privacy policies and labels among iOS apps.

Discover how crLDCs improve data integrity and error correction.

An exploration of graph theory problems and their connection to forbidden subgraphs.

This article discusses new methods for efficient prime number generation using pseudodeterministic algorithms.

New methods enhance analysis of randomized algorithm runtimes using probabilistic recurrence relations.

Explore two algorithms designed to improve Wordle guessing strategies.

CARAMEL offers efficient storage and fast access for large data sets.

Examining methods to reduce the difference between two submodular functions in optimization.

Examining fairness in distributing goods and chores among individuals with different needs.

Local search methods provide effective solutions for graph partitioning challenges.

A method to learn from the entire structure of relational databases, improving data representation.

arulespy streamlines association rule mining for Python users.

A new method using MPC to secure data while identifying accurate information.

CARAMEL offers efficient storage and fast access for large data sets.

Combining global and local merging techniques to improve data quality management.

Learn efficient methods to estimate key graph parameters in sparse graphs.

Introducing Alpha+++, a refined algorithm for better process discovery.

CardIndex combines indexing and cardinality estimation for faster, resource-efficient data handling.

A comprehensive collection of computational linguistics research papers for open science.

A new approach helps researchers find relevant datasets using natural language.

A new method enhances the search for physical archival materials.

This article examines how citation habits in NLP have evolved over time.

A study on improving peer review quality through innovative assignment evaluation methods.

DeepScribe project enhances cuneiform tablet transcription using advanced machine learning techniques.

Orphan articles hinder knowledge access on Wikipedia, affecting visibility and representation.

A look at how citation inflation skews our understanding of scientific contributions.

A look into how graph convexity shapes relationships between vertices.

A look into Roman domination and its impact on graph theory.

This article discusses new methods for efficient prime number generation using pseudodeterministic algorithms.

Investigating the fewest clues needed for unique Sudoku solutions.

GTED provides a method to compare genetic sequences through graph representation.

Exploring acyclic edge coloring and its significance in degenerate graphs.

Examining methods to reduce the difference between two submodular functions in optimization.

This paper examines the relationship between graphs and surfaces through map homomorphisms.

This explores advancements in consensus algorithms for effective data gathering.

WeiAvg enhances federated learning by prioritizing data diversity while safeguarding privacy.

Learn how new algorithms tackle consensus challenges in distributed computing.

Combining quantum and edge computing for faster and more efficient applications.

A new approach enhances GNN training efficiency on large graphs using advanced techniques.

Collaborative UAV systems improve real-time data processing efficiency for various tasks.

A new method for verifying communication protocols in multiparty systems using automata.

Examining the links between persistent homology and directed spaces for concurrent programs.

A look at an efficient method for data processing and analysis.

A new device promises faster, energy-efficient processing in optical neural networks.

A look into PUBO and QUBO for better quantum optimization solutions.

A look into the new quantum version of the k-NN algorithm using Euclidean distance.

New approaches to mimic biological neurons for real-time signal processing.

New analog systems use light for faster, energy-efficient information processing.

Discover how quantum computing enhances clustering methods for better data analysis.

A new quantum algorithm speeds up power generation scheduling amid rising energy demands.

A look into the complexities of nondeterministic and deterministic automata.

A new method for verifying communication protocols in multiparty systems using automata.

New live programming tools aim to simplify software modeling and enhance user experience.

Explore the unique structure of -representations and their links to automata.

Introducing a new model for effective real-time systems verification.

A new method for learning timed automata focusing on timing constraints.

Examining how delays impact strategies in competitive games.

Analyzing the role of decisiveness in Markov chains and probabilistic models.

Focus on audience experience to create engaging animations.

A new method to speed up ray tracing rendering significantly.

New methods improve 3D reconstruction of reflective surfaces using neural rendering techniques.

Exploring the walk-on-boundary method for efficient boundary value problem solutions.

Introducing a reliable method for assessing NeRF performance and quality.

Discover how neural path tracing and IPUs enhance graphic rendering.

A new method improves realism in character interactions within virtual spaces.

A fresh approach to generate high-quality animations from limited examples.

ChipGPT makes chip design simpler using everyday language for engineers.

Exploring HLS use in efficient Wi-Fi transceiver design and performance.

DeepGate2 enhances circuit representation learning for efficient electronic design automation.

Examining the role of FPGA techniques in enhancing hardware security.

Learn how dual-threaded processors enhance performance in various applications.

A new approach for running X3D model on FPGAs for efficient video analysis.

A new architecture improves MK polar code encoding for efficient communication.

A look at the benefits of heterogeneous SoCs for modern computing tasks.

This tool helps researchers create flexible annotation systems tailored to their needs.

Students’ beliefs about future earnings shift with AI discussions.

Exploring methods to recognize human actions in videos for various applications.

Explore the latest techniques improving speech clarity in noisy environments.

A VR tool enhances understanding and accessibility of deep learning through interactive data labeling.

Research reveals how human soft tissues can process information efficiently.

Combining language models and image generation for better visual metaphors.

Innovative methods improve communication through brain-computer interface technology.

Exploring the frustrations of music retrieval when memories are unclear.

Discover how multi-task learning improves user recommendations across various platforms.

This article discusses enhancing recommendation systems with diverse options for user satisfaction.

Using reinforcement learning to improve long-term user engagement in advertising.

New method simplifies item suggestions using user conversations.

A new method enhances data retrieval from quantum states affected by Pauli noise.

A framework for better evaluating hashtag recommendations on social media.

BookGPT uses AI to suggest books based on user preferences and ratings.

ISAC is key for future wireless networks, merging sensing and communication technologies.

New detection method improves wireless data transmission efficiency.

A look into the role of sensing in advancing 6G communication systems.

A new method enhances decision-making in distributed systems with limited communication.

Learn how spreading sequences enhance communication in modern networks.

A fresh approach to improve communication and efficiency in edge learning.

A new method enhances data retrieval from quantum states affected by Pauli noise.

A look at how quantum communication outperforms classical methods in multi-party computations.

Combining belief-based and policy search methods for better decision-making.

Two mathematicians use logic to solve a classic integer puzzle.

A study on efficient application deployment in the Cloud using various optimization methods.

Examining the complexities of decidability in difference logic with integers and real numbers.

This article examines how transformers learn recursive functions in programming tasks.

This article presents a method to clarify comparisons of relational invariants in static analysis.

Analyzing uncertainty through probabilistic models in various fields.

Examining how technology influences mathematical proofs and community understanding.

Exploring the role of label words in enhancing in-context learning for language models.

Examining bias in AI algorithms affecting medical diagnoses for diverse populations.

RLBoost uses deep reinforcement learning to enhance data quality evaluation for AI models.

A new method enhancing AI's decision-making transparency without sacrificing accuracy.

Techniques to improve model performance amid varying image conditions.

A look into strategies for enhancing GAN training processes.

A method to identify errors in machine learning models using attention sets.

Researchers enhance language models using sparse networks and Mixture-of-Experts for better performance.

Blendstrings provide smooth, accurate function representations in various fields.

New methods for matrix multiplication improve speed and energy efficiency.

New methods enhance MPI Alltoallv communication for improved FFT performance.

Discover how FPGA technology improves high-precision matrix multiplication.

Learn about function calculus and its real-world applications.

SpComp enhances efficiency in sparse matrix calculations through smart optimization.

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.

A new method enhances decision-making in distributed systems with limited communication.

Examining how community influences language change over time.

New algorithm improves multi-robot task allocation in real-time challenges.

Understanding accountability in traffic with machines is essential for safety.

Exploring new methods for designing control software in robot swarms.

Exploring how unique traits in swarm robots can enhance group behavior.

Multi-robot systems improve efficiency and reliability across various fields.

A look into how smart cities manage resources while meeting strict limits.

A new method improves video creation from text with added control and quality.

Research presents a method to convert spoken words into singing efficiently.

A look at how Integrated Multimodal Perception enhances machine learning capabilities.

CoMoSpeech improves speech synthesis speed and quality with a one-step process.

A look into hate raids and their impact on marginalized streamers.

A new method improves image compression by prioritizing human-friendly features.

This study highlights the importance of context in interpreting memes.

A new method for creating unique music versions by rearranging existing pieces.

A new model improves scaling for serverless computing at the edge.

A study on MQTT brokers' performance under different network conditions.

Satellite networks are transforming internet access in remote areas.

Exploring HLS use in efficient Wi-Fi transceiver design and performance.

A new method enhances exercise detection for better blood sugar control in diabetes.

A new approach uses Graph Neural Networks for better user pairing in wireless systems.

This study explores how network operators adapted during the Russia-Ukraine conflict.

Digital twins improve the management of satellite and drone communication networks.

Comparing human problem-solving abilities with neuromorphic and traditional computers.

New method improves image generation by adapting prompts for better user satisfaction.

Exploring the role of niche construction in evolutionary processes.

Explore how viewing neural networks as utility functions changes our understanding of their performance.

Combining active learning and physical constraints improves symbolic regression results.

CVGP aids researchers in uncovering complex relationships through adaptive experiments.

AD-NEv framework enhances anomaly detection through innovative approaches.

This research proposes optimizing individual neurons for enhanced AI performance.

Research focuses on stabilizing solutions using oversmoothing penalties in Banach spaces.

Exploring how block unitriangular matrices aid in machine learning.

Learn how GTCUR approximates tensors for effective data analysis.

A look at how neural networks can approximate solutions to complex equations.

A look into the mechanics of fluid behavior in compressible flow.

A fresh algorithm to tackle optimization in probability simplex efficiently.

This article explores numerical methods for analyzing stochastic Volterra integral equations.

Exploring improved accuracy in boundary element methods for elastodynamics using graded mesh designs.

New method improves resource allocation for users with changing needs.

DVFO enhances energy efficiency and processing speed for edge devices in IoT.

Exploring the benefits of lookahead in semi-online task scheduling.

A model for better predictions of I/O operations in Linux environments.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

This framework simplifies the development of Linux kernel schedulers.

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

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

A new methodology enhances teamwork between software and hardware developers for better performance.

Reassessing how we classify and understand sequential circuits.

Exploring the significance and applications of mobility data in society today.

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.

TrueKNN improves neighbor search by dynamically adjusting the search radius.

Introducing the Multiple Comparison Matrix for clearer algorithm evaluation.

Learn how CPU-GPU systems improve fluid dynamics simulations.

A model for better predictions of I/O operations in Linux environments.

A new method enhances accuracy in software performance predictions using focused data groups.

A method that combines data processing and ML predictions for faster decision-making.

Learn how RAID enhances data reliability and performance in storage systems.

SWAM improves memory usage in mobile devices, boosting app responsiveness and user experience.

ChipGPT makes chip design simpler using everyday language for engineers.

This article discusses data-parallel algorithms for string diagrams, focusing on their representation and manipulation.

This article examines how transformers learn recursive functions in programming tasks.

Analyzing uncertainty through probabilistic models in various fields.

A new method for verifying communication protocols in multiparty systems using automata.

Explore the challenges and solutions for concurrent programs in weak memory models.

Exploring term rewriting in parallel computation for efficient data processing.

Colored e-graphs improve logical reasoning by reducing memory use and increasing speed.

This article discusses using large language models to enhance robotics decision-making.

CTopPRM enhances robotic navigation by providing multiple distinct paths in complex environments.

A framework to improve drone delivery efficiency by managing soft failures.

New research reveals drones can fly longer using natural wind updrafts.

Bird's Eye View enhances visual place recognition for better accuracy in autonomous driving.

A new method enhances LiDAR data quality during adverse weather conditions.

This new approach enhances control efficiency by integrating learning and rule compliance.

New SONAR methods enhance AUV navigation and location recognition underwater.

A new model enhances semi-supervised classification in GNNs through optimized node-wise diffusion.

This paper examines how trust affects behavior adoption in group interactions.

Learn how network embedding simplifies complex relationships in various fields.

A new algorithm enhances rewards in expert prediction competitions, improving accuracy and collaboration.

Explore the complexity of multilayer networks and their real-world applications.

A fresh approach leverages optimal transport to improve parameter learning.

RAGE improves how graph models explain their predictions effectively.

A study on the role of centrality and cyclicality in economic interactions.

A deep dive into how critical scenarios are tested in autonomous driving systems.

New method improves detection of vulnerability fixes in third-party libraries.

Beryllium simplifies finding algorithm code through pseudo code searches.

Exploring methods to automate software creation and setup to meet industry demands.

A new tool helps developers create clear privacy notices for mobile applications.

A tool for estimating energy consumption in embedded systems during development.

Focused testing can improve DNN reliability and detect bugs more effectively.

A look at links in commit messages and their impact on development.

Fast Conformer improves speech recognition speed and accuracy for various applications.

SE-Bridge enhances speech quickly, improving clarity for various applications.

Research presents a method to convert spoken words into singing efficiently.

Examining the impact of speech technology on personal privacy.

A mobile app designed to improve Arabic pronunciation for all learners.

This article discusses how machine learning fills gaps in speech audio.

A new model enhances the detection of fake audio clips through stereo analysis.

This method helps people with hearing loss identify sound sources in their environment.

A method combining symbolic reasoning and neural networks for better decision making.

A new approach to improve accuracy in finding complex zeros of polynomial systems.

This article examines methods to show certain number sequences are positive.

Exploring efficient methods for creating winning strategies in two-player games.

Using the Risch Algorithm to improve datasets for machine learning in symbolic integration.

A look at how algebraic simplifiers enhance software reliability.

A novel method to find real solutions in symmetric polynomials efficiently.

A look at methods for handling polynomial equations and their applications.