Computer Science

Research examines prompting techniques to improve trustworthiness of language model outputs.

An innovative method enhances transformer models' reasoning using probabilistic logical rules.

Exploring how large language models handle table structures and their limitations.

Assessing privacy concerns and solutions in Split Learning methods.

Exploring how NCAs grow and adapt using internal and external signals.

Combining EHR data with personalized knowledge graphs improves healthcare outcome predictions.

A novel method enhances small language models while protecting patient privacy.

Strategies to improve AI language generation with a focus on safety and respect.

Study reveals how audio clarity affects language acquisition analysis in infants.

A new method for recognizing and categorizing events from text data.

Using a small model to refine outputs of large language models shows significant improvements.

Research examines prompting techniques to improve trustworthiness of language model outputs.

An innovative method enhances transformer models' reasoning using probabilistic logical rules.

Exploring how large language models handle table structures and their limitations.

The 3H-TH model improves knowledge graph embeddings by capturing complex relationships.

Exploring methods to improve fairness in detecting online toxic content.

Learn about the Weisfeiler-Leman algorithm and its impact on graph isomorphism.

A look into relation algebras and the k-consistency method for network satisfaction.

Enhancing data privacy in cloud storage through efficient encryption solutions.

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.

This article presents an innovative mass lumping method for enhanced accuracy in structural dynamics.

A new method improves thermal predictions, ensuring better performance for multi-core processors.

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 article examines the complexities of shortest paths in graph associahedra.

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.

Study reveals how LLMs behave in social interactions, highlighting cooperation and competition dynamics.

Discussing equitable reward sharing in crowd-sourced systems.

A look into how combinatorial auctions enhance bidding strategies and optimize allocations.

Examining the flaws in healthcare quality measures and their impact on patient care.

A look into the interactions of agents in competitive environments.

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 dataset aimed at improving fact-checking by combining text and images.

This work introduces tasks for machines to reason about objects using visual context.

New methods improve early detection of breast cancer, enhancing treatment options and outcomes.

Community initiative to identify flaws in text-to-image AI models.

New techniques enhance search accuracy using text descriptions for images.

DiffProtect aims to safeguard images from facial recognition while keeping them visually appealing.

A new method enhances image restoration by using semantic information from foundation models.

A new method improves face recognition across varied conditions.

Examining how language models reflect societal biases in math and STEM.

Research explores fairness in online ad auctions to improve diversity in hiring.

Examining how accessibility varies among popular Proof-of-Stake blockchain networks.

New method enhances attention learning in graph models using causal reasoning.

Study reveals how LLMs behave in social interactions, highlighting cooperation and competition dynamics.

Examining the flaws in healthcare quality measures and their impact on patient care.

This study examines how likes on Twitter may indicate coordinated inauthentic behavior.

A new model to tackle filter bubbles in social media by promoting diverse viewpoints.

Assessing privacy concerns and solutions in Split Learning methods.

Community initiative to identify flaws in text-to-image AI models.

DiffProtect aims to safeguard images from facial recognition while keeping them visually appealing.

AGE-FTM offers a solution to safeguard privacy in facial recognition.

Examining how accessibility varies among popular Proof-of-Stake blockchain networks.

FedVS improves model training speed and privacy in vertical federated learning.

Analyzing side-channel attacks on power-efficient devices.

Exploring accountability and ethics in AI code generation.

A deep dive into the Incremental Knapsack Problem and its real-world applications.

A new algorithm improves sampling accuracy and efficiency for hard-sphere models.

An overview of qubit routing and its significance in quantum computing efficiency.

A look at alphabet-partitioning for effective string management.

A method for testing conductance without centralized data collection.

This article examines the complexities of shortest paths in graph associahedra.

Discover how distributed algorithms enhance security and efficiency in communication networks.

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

Exploring the impact of Deep Clustering on data cleaning and integration tasks.

New software enhances image transmission using semantic maps and polar codes.

Learn how four-valued logic improves database accuracy in uncertain scenarios.

Hydro project aims to simplify programming for distributed systems.

Learn how knowledge graphs organize information and simplify querying.

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.

Open access articles increasingly cited on Wikipedia enhance knowledge sharing.

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.

Learn about the Weisfeiler-Leman algorithm and its impact on graph isomorphism.

This research shows solvability in key semigroup problems for certain metabelian groups.

Learn how S-TEGs improve process modeling across industries.

A platform to analyze and visualize crowd movements in urban areas.

An overview of qubit routing and its significance in quantum computing efficiency.

An overview of graph parameters and their significance in various fields.

Researchers optimize quantum circuit simulations using ZX-calculus and community-based strategies.

This article examines the complexities of shortest paths in graph associahedra.

Exploring Multi-Model Asynchronous Federated Learning for improved efficiency and privacy.

A new method improves GPU task synchronization for machine learning models.

Exploring how NCAs grow and adapt using internal and external signals.

HotStuff offers an efficient solution to blockchain consensus challenges.

Research reveals effective methods for solving Horn-SAT challenges using parallel computing.

Flover streamlines AI inference for better performance and faster responses.

Examining how accessibility varies among popular Proof-of-Stake blockchain networks.

A method for testing conductance without centralized data collection.

IMBUE architecture enhances machine learning efficiency using ReRAM technology.

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 look into Moore automata and their relationships with Mealy automata.

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.

Discover how regularized distances improve shape analysis and geometry processing.

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.

IMBUE architecture enhances machine learning efficiency using ReRAM technology.

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 dataset focused on recognizing basketball activities using wrist-worn sensors.

Exploring a new framework to improve human activity recognition accuracy.

Research reveals how dark patterns affect decisions in social media apps.

A platform to analyze and visualize crowd movements in urban areas.

Examining how diverse perspectives improve political content labeling accuracy.

Wital uses Wi-Fi technology to monitor vital signs without sensors or cameras.

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

Students’ beliefs about future earnings shift with AI discussions.

Exploring how large language models handle table structures and their limitations.

Analyzing how dimensionality influences personalization and diversity in recommendation algorithms.

New methods improve text representation for better information retrieval.

This article presents a model to enhance item recommendations using text and user connections.

A new method enhances online shopping sales predictions.

FiT5 improves document ranking for better search results.

AutoTSG proposes new methods to improve search engine retrieval quality.

A look at enhancing systems for finding relevant passages in lengthy texts.

Advancements in caching techniques improve video streaming performance in crowded networks.

A new method tackles challenges in high-dimensional linear regression effectively.

Learn how coded caching and MIMO enhance streaming experiences.

Exploring communication through molecules in nature and technology.

New software enhances image transmission using semantic maps and polar codes.

FedVS improves model training speed and privacy in vertical federated learning.

A look into isometries and rank-metric codes in error correction.

New feedback method enhances MIMO system efficiency in wireless networks.

Learn about the Weisfeiler-Leman algorithm and its impact on graph isomorphism.

A look into relation algebras and the k-consistency method for network satisfaction.

Researchers bridge graphs and logic to enhance clarity in logical reasoning.

Research reveals effective methods for solving Horn-SAT challenges using parallel computing.

A new framework aims to enhance policy writing for automated systems.

LERP enhances logical rule learning by incorporating contextual information from knowledge graphs.

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

Two mathematicians use logic to solve a classic integer puzzle.

This article presents a method to improve causal analysis in subsampled time-series data.

A new method improves efficiency in molecular design, cutting costs and enhancing discovery.

A new approach to improve model performance under various input changes.

Using a small model to refine outputs of large language models shows significant improvements.

Exploring Multi-Model Asynchronous Federated Learning for improved efficiency and privacy.

A dataset focused on recognizing basketball activities using wrist-worn sensors.

Assessing privacy concerns and solutions in Split Learning methods.

Exploring how NCAs grow and adapt using internal and external signals.

Learn how NUBO helps researchers optimize costly evaluations using Bayesian techniques.

A new method improves solutions for complex differential equations using Haar wavelets and radii polynomials.

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.

A look into the interactions of agents in competitive environments.

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 dataset aimed at improving fact-checking by combining text and images.

A proactive method to safeguard images against deepfake manipulations.

Research enhances video quality evaluation using advanced methods and comprehensive databases.

This article reviews the current state of text-to-image generation technology.

A new method enhances segmentation accuracy by integrating depth information without source data.

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.

A new framework boosts energy efficiency in smart technology networks.

A new model enhances communication between GPUs during machine learning training.

A new method for scaling serverless functions efficiently in edge networks.

A new codec enhances video quality during packet loss in conferencing.

Quantum networks promise efficient and secure communication for technology's next phase.

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 how NCAs grow and adapt using internal and external signals.

Introducing the Integrated Forward-Forward Algorithm for improved neural network training.

This research examines how compositionality affects imitation in artificial language systems.

A new system uses brain models to help robots move in unknown spaces.

PAO makes optimisation easier to use and understand.

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.

Lifting operators extend edge data to full functions, crucial for solving complex equations.

A method to track moving points using sound waves.

A new algorithm improves time-parallel computing methods for complex problems.

This article presents a novel approach to coupled conservation laws in various systems.

A method to combine atomic and continuum models for better material predictions.

Enhancing accuracy of spectral element methods in complex geometries.

A study on methods to solve a complex mathematical problem in various fields.

A simple guide to understanding inequalities and compactness in various fields.

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.

Exploring how compilers affect WebAssembly performance and code quality.

Hydro project aims to simplify programming for distributed systems.

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.

Robots learn to safely navigate tricky forest environments using advanced techniques.

Research focuses on safe route planning for urban air vehicles.

Using radio signals for accurate mapping in robotics.

New strategies improve pathfinding for legged robots in challenging environments.

A new method improves robot tracking by combining maps with sensor data.

A new system uses brain models to help robots move in unknown spaces.

A new obstacle course assessments for quadruped robots inspired by dog agility.

KARNet combines machine learning and physics for better self-driving predictions.

Gelato offers a simpler, effective method for link prediction in networks.

A new method to examine media bias through writing style analysis.

KGT5-context improves link prediction in knowledge graphs with contextual information.

A platform to analyze and visualize crowd movements in urban areas.

This study examines how likes on Twitter may indicate coordinated inauthentic behavior.

A novel approach to classify images based on social media interactions.

A look into the interactions of agents in competitive environments.

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

This article explores fairness challenges in machine learning and effective strategies for improvement.

This study focuses on creating tough environments for DRL agent training.

TransCoder offers a fresh strategy for improving code understanding and performance.

A study investigates jailbreak prompts used to bypass language model restrictions.

A new technique transforms UI tests into effective API tests.

NiCro streamlines mobile app testing across various devices using image recognition.

This framework uses oracles to improve code generation accuracy.

New method reduces bias in machine learning while maintaining performance.

Study reveals how audio clarity affects language acquisition analysis in infants.

A new approach enhances spoken language understanding using efficient audio processing.

This paper presents a method to enhance CNNs by removing unnecessary filters.

A new method improves emotion detection in speech using self-attention techniques.

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 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.