Computer Science

Discover how structured data influences reasoning in language models.

A new approach uses embeddings to reduce bias in facial recognition tasks.

Lazy learning improves AI training by focusing on mistakes.

A new model for better handling of continuous latent variables in machine learning.

Examining the reliability and validation of influence functions in deep learning models.

ARIA enhances quality and diversity in uncertain environments for QD algorithms.

A new method helps robots move through crowded places safely.

A review of methods to speed up training for large deep learning models.

Examines how unspoken meanings shape our understanding of language.

Discover how structured data influences reasoning in language models.

This study examines how multilingual users share information across language barriers on Twitter.

Examining the challenges and solutions to bias in AI language models.

This article presents a method for ensuring factual and fair language generation.

BenCoref dataset enhances coreference study in Bengali language processing.

This study examines counting behavior in linear RNNs and their limitations.

A study comparing automated prompts and manual prompts in large language models.

Learn about secluded partitions and their role in data handling and algorithms.

This article examines improving learning algorithms by focusing on data distributions.

Explore the vital role of string attractors in data compression and retrieval.

Learn about the LSRS problem and its importance in various fields.

A look into Unique Games and the impact of hypercontractive graphs.

Examining new techniques for efficiently finding shortest paths in distributed systems.

Investigating CDCL solvers' efficiency in simulating resolution proofs with focus on overhead.

New algorithm offers efficient solutions for 2-MAXSAT challenges in optimization.

Combining numerical methods and machine learning improves fluid-structure interaction simulations.

A new model improves data tracking in Lattice Quantum Chromodynamics.

This study examines Landau damping using numerical simulations to enhance understanding in plasma behavior.

This article explores how pathway modules assist in studying biochemical networks.

Examining how recrystallization affects Zircaloy-4 in nuclear applications.

Antenna design improves through topology optimization for modern communication needs.

A study on portfolio optimisation with transaction and holding costs integrated.

WakeNet enhances wind farm efficiency through advanced modeling techniques for turbine wakes.

A new algorithm streamlines the process of creating convex hulls in various applications.

Learn about secluded partitions and their role in data handling and algorithms.

TAS-Paths improves safety and efficiency in spectrometer motion planning.

Exploring methods that clarify deep learning model decisions.

A new method improves speed and accuracy in penetration depth estimation for robotics.

This article focuses on enhancing the layout of nearly planar graphs for better visualization.

A mathematical method for analyzing complex data shapes and structures.

Combining clustering with topological analysis reveals hidden structures in high-dimensional data.

A look into Bayesian games, their equilibria, and the role of mediators.

Effective sensor allocation is key in combatting diverse attack strategies.

Zalando enhances profitability with a structured bidding approach in online advertising.

e-Uber merges ride-sharing with energy-sharing for electric vehicle drivers.

A look at strategies to reduce false information online.

A look at methods to increase device participation in federated learning.

Studying fair distribution of food donations among charities based on entitlements.

Exploring two-player games and their implications in computer science.

A new system enhances medical imaging quality assessments with explainability.

TeGRA improves camera tracking using event-based technology for enhanced accuracy.

New dataset aims to improve emotion recognition amid mask-wearing.

Enhancing VQA systems for better image understanding and diverse questioning.

A new approach uses embeddings to reduce bias in facial recognition tasks.

HSI-ShipDetectionNet improves accuracy in detecting small vessels using optical images.

SparseFormer mimics human focus to improve image and video recognition efficiency.

This approach improves image quality assessment by analyzing multiple images together.

Exploring how developers view and tackle fairness in ML applications.

Examining the challenges and solutions to bias in AI language models.

A look at how uncertainty impacts fairness in machine learning models.

This paper examines how trending topics influence tweet volume in India and Turkey.

A new method focuses on fairness in unsupervised learning from graphs.

Examining fairness in privacy methods for location data use.

Vocational training and generative AI can reshape education in sub-Saharan Africa.

Examining the role of wellbeing in AI development and design.

Research introduces a novel protocol to enhance secure data sharing over long distances.

A new protocol enhances privacy and efficiency in federated learning.

A framework to test the safety of real-time systems against cyber attacks.

A new framework improves smart grid security while maintaining data privacy.

Learn about the fundamentals and applications of code-based cryptography.

Examining the privacy concerns of prompt-tuning in language models.

Exploring secure methods for combining communication and sensing in mobile networks.

This study examines the relationship between robust classifiers and generative models in machine learning.

A new approach uses embeddings to reduce bias in facial recognition tasks.

Learn about how binary trees can be transformed through rotation distance.

A new approach to understanding risks in optimizing complex functions.

New methods create synthetic data to protect privacy in power systems research.

A method for achieving fairness in data selection, addressing bias in algorithms.

A look into how attention improves language model performance.

This article examines improving learning algorithms by focusing on data distributions.

New methods improve efficiency for shortest paths in graphs with negative edge weights.

A new method improves the grouping of related news articles efficiently.

A new model improves data tracking in Lattice Quantum Chromodynamics.

A new method to align knowledge graphs using advanced learning techniques.

Learn effective techniques for extracting structured information from unstructured data sources.

Explore the role and mechanics of graph databases in modern applications.

Learn how the Yannakakis algorithm streamlines data processing using tree decompositions.

Integrating RDF Knowledge Graphs to improve AI chatbox accuracy and reliability.

A new method for ranking numbers in large data streams improves accuracy and efficiency.

A new resource makes Australian parliamentary debates from 1998 to 2022 accessible for research.

An overview of Serbian language processing and its unique challenges.

Creating a hub for climate data to address changing weather patterns.

A method to enhance search access using narratives instead of keywords.

A new model enhances citation prediction using hierarchical graphs.

A platform for open sharing and peer feedback in scientific research.

This article discusses the importance of synthesizing research in HCI.

Structured resources to clarify scientific terms for readers and researchers.

Examining bent functions and their role in secure encryption systems.

Learn about interval-edge coloring and its implications in graph theory.

Explore how bounded twin-width influences graph properties, particularly chromatic numbers.

A look at the relationship between words and automata in symbol sequences.

Learn about secluded partitions and their role in data handling and algorithms.

This article examines how structured communities form within various networks.

Learn how to build graphs and achieve specific properties in a semi-random game.

A look at random geometric graphs and their balanced spanning trees.

A new framework improves smart grid security while maintaining data privacy.

A review of methods to speed up training for large deep learning models.

New representation improves predictions for HPC applications across various hardware systems.

A study on the performance of OpenMP offloading for Intel and NVIDIA GPUs.

Discover how specialized languages streamline complex weather and climate simulations.

FeDiSa enhances security and efficiency in power systems against cyber threats.

This article discusses a new method for achieving set-agreement using topological concepts.

Vers enhances distributed computing through decentralized data handling and robust security.

Explore recent TCAM developments, including efficient designs and energy-saving technologies.

Exploring the technical hurdles and advancements in quantum computing systems.

Using ISFETs enhances security for integrated circuits against reverse engineering.

Addressing security risks in advanced non-volatile memory technologies.

Exploring multi-core quantum computing and its impact on problem-solving speed.

Exploring the role of LSTM networks in improving quantum computing accuracy.

A new approach uses ReRAM to enhance finite state automata in machine learning systems.

A new architecture combines neural networks and security features using RRAM technology.

This study examines counting behavior in linear RNNs and their limitations.

A look at the relationship between words and automata in symbol sequences.

A look at max-plus automata and their importance in system performance analysis.

Explore the LCS problem influenced by distance limitations in character selection.

A new method to analyze inter-case dependencies in business processes using Petri nets.

A review of recent algorithms for determining emptiness in regular languages and automata.

Learn effective techniques for extracting structured information from unstructured data sources.

Explore the role and mechanics of graph databases in modern applications.

VOICE uses technology to improve public understanding of complex scientific concepts.

Techniques to enhance BRDF sampling and reduce variance in computer graphics.

HyperINR speeds up implicit neural representations for clearer scientific visualizations.

New techniques breathe fresh life into cherished old photos.

Animation quality shapes user experience and control in virtual reality.

A simple method for natural character movements in animations and games.

Learn how vehicle damage enhances gaming engagement and realism.

New methods improve 3D modeling using RGB-D data and dynamic voxel grids.

Explore key methods to enhance machine learning model training for better accuracy and efficiency.

This study focuses on improving cache memory performance in asymmetric multi-core processors.

New methods help estimate power consumption in FPGA designs, focusing on Lattice iCE40.

This paper examines the advantages and challenges of Logic-in-Memory designs in digital systems.

Analyzing information flow in hardware designs to improve security measures.

Addressing security risks in advanced non-volatile memory technologies.

New approaches to improve efficiency in deep neural networks.

A look into improving computations with sparse matrices using SpChar.

New dataset aims to improve emotion recognition amid mask-wearing.

StoryChat aims to reduce negativity in live streaming chats through engaging narratives.

Expanding fairness evaluation in ML by including non-expert stakeholder feedback.

Exploring how developers view and tackle fairness in ML applications.

VOICE uses technology to improve public understanding of complex scientific concepts.

This paper examines how trending topics influence tweet volume in India and Turkey.

A tool for studying how policies spread in the U.S.

Scraft encourages critical thinking in writing through engaging feedback.

A new approach uses embeddings to reduce bias in facial recognition tasks.

A new dataset enhances passage ranking for search engines in Chinese.

A new approach enhances travel suggestions using time and geographic data.

A new method improves the grouping of related news articles efficiently.

A study on predicting emotional closeness in tweets across ten languages.

Introducing DREAM: a new model for predicting missing elements in temporal knowledge graphs.

Introducing a new method for personalized POI recommendations that prioritizes user privacy.

LACE empowers users to tailor recommendations based on their preferences.

Learn to estimate values from noisy data using statistical methods.

Exploring secure methods for combining communication and sensing in mobile networks.

A new method enhances FDD massive MIMO systems using deep learning techniques.

New methods improve communication reliability for automated train control.

Advancements in RIS and machine learning to enhance indoor communication for 6G.

LEO satellites are transforming internet access and data delivery systems.

A flexible approach to set lower limits on Bayesian risk in parameter estimation.

Effective cancellation of OFDM signals is crucial for reliable wireless communication.

Methods for checking consistency in memory models of concurrent software.

Learn about the causes, detection, and prevention of deadlocks in software systems.

New methods improve efficiency of SAT solvers with parity constraints.

A look at max-plus automata and their importance in system performance analysis.

Examining the ties between logical proofs and computational systems within constructive modal logic.

Explore the role and mechanics of graph databases in modern applications.

Introducing SolverX, a fast solver for robotic control problems using piecewise-affine systems.

A look into how query algorithms analyze properties in databases.

Using machine learning to recover information from software binaries enhances understanding and accessibility.

Discover how structured data influences reasoning in language models.

A new approach uses embeddings to reduce bias in facial recognition tasks.

Evaluating language models in transforming bug descriptions into correct code fixes.

A new approach combining GANs and ABC to fix model misspecification.

New method enhances covariance estimation for effective investment strategies.

Lazy learning improves AI training by focusing on mistakes.

Exploring how developers view and tackle fairness in ML applications.

A look at methods improving nonlinear optimization under constraints.

Learn the steps of Bayesian analysis using Pumas for pharmacometric modeling.

A new framework enhances geophysical studies through machine learning integration.

Researchers enhance simulation performance using GPUs for complex materials.

clotFoam transforms blood clot formation research through powerful simulations.

This article discusses how data assimilation improves scientific modeling in glaciology and groundwater studies.

Introducing a method for effective time series classification using the LLT technique.

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

Exploring strategies for guiding diverse groups of agents effectively.

A new approach improves multi-agent pathfinding by utilizing highways in dynamic environments.

This study shows how language instructions improve AI behavior in games.

A new framework enhances understanding of human-driver interactions to improve autonomous vehicle safety.

A new approach integrating Bayesian Optimization with multi-agent systems for better teamwork.

A new method protects privacy while ensuring accurate consensus among agents in networks.

This article discusses how chaotic dynamics can enhance mobility models for self-driving vehicles.

New algorithm enhances privacy while optimizing resource allocation in federated optimization.

A new method improves data transmission even with unstable internet connections.

This article discusses a systematic approach to music annotation.

A structured approach to music representation and performance analysis.

New model transforms sounds into clear images, bridging audio and visual information.

A novel approach to generate audio captions using pre-trained language models.

New method improves multimedia retrieval by combining various data types effectively.

A new method bridges food images and recipes from various cuisines.

A method to boost object recognition accuracy in videos using advanced processing techniques.

A new method improves data transmission even with unstable internet connections.

Exploring the balance between efficiency and performance in cellular networks.

META-CODE helps find communities in uncertain networks using node metadata and dynamic querying.

Learn how Hybrid-Multikey-PUFs enhance security in connected devices.

The AROW algorithm enhances safety at stop-controlled intersections through vehicle communication.

A new approach to improve SD-WAN performance and manage bandwidth effectively.

Strategies for efficient resource management in a growing IoT landscape.

NRTS app enhances neonatal resuscitation training for healthcare professionals.

Lazy learning improves AI training by focusing on mistakes.

ARIA enhances quality and diversity in uncertain environments for QD algorithms.

This study examines counting behavior in linear RNNs and their limitations.

A look at how encoding affects solutions in diverse fields.

SLR offers a faster way to prune deep learning models without losing accuracy.

A new approach enhances genetic algorithms using attention mechanisms for better optimization.

A novel approach to analyzing brain connectivity using a specialized neural network.

New methods enhance layout decomposition for smaller semiconductor features.

Exploring new methods for approximating complex particle interactions in quantum physics.

Learn how polytopal methods improve problem-solving in mathematics and engineering.

Researchers present improved techniques for accurate fluid motion predictions.

A new method for Thiele interpolation enhances reliability and accuracy.

A faster method to analyze input impacts on model outputs.

Exploring the benefits of split-preconditioned FGMRES in mixed precision computing for efficient solutions.

A new method enhances neural networks in solving complex mathematical equations efficiently.

Examining ChatGPT's effectiveness in assisting with numerical programming tasks.

BCEdge improves DNN processing efficiency in edge applications for faster response times.

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.

Transforming building design to save energy and promote sustainability.

Exploring automation's role in enhancing building design efficiency and communication.

Investigating distant planets and their potential to support life through advanced technology.

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.

New representation improves predictions for HPC applications across various hardware systems.

A study on the efficiency of Java's execution methods.

Learn how to handle cold-start issues in serverless cloud services effectively.

This article discusses the importance of computational performance in concept drift detection.

A new approach improving performance in column-stores through hybrid materialization techniques.

Data preprocessing is key to efficient deep neural network training.

Innovative techniques for optimizing sparse matrices in high-performance computing.

New techniques improve DNN efficiency and robustness for small devices.

A new method to simplify programming communication and improve efficiency.

Learn how to prevent priority inversions in concurrent tasks.

Methods for checking consistency in memory models of concurrent software.

Learn about the causes, detection, and prevention of deadlocks in software systems.

A new system merges Datalog and equality saturation for better program analysis.

A new system enhances OCaml debugging by tracing program execution.

Learn the essential rules and components of programming languages.

A clear method for ensuring fairness in resource distribution among individuals.

Research into teamwork dynamics between skilled robots and human players.

ARIA enhances quality and diversity in uncertain environments for QD algorithms.

A new method helps robots move through crowded places safely.

Juvenile anacondas use specialized movements to evade predators effectively.

A novel method enhances agent learning by utilizing symmetry in tasks.

A fresh approach to evaluate robot dexterity through piano playing.

Reinforcement learning boosts efficiency in food packaging automation.

This article discusses new methods for effectively controlling soft robots in real time.

This study examines how multilingual users share information across language barriers on Twitter.

Exploring how cliques form and grow within various networks.

Elon Musk's acquisition leads to increased hate speech and bot presence on Twitter.

This paper examines how trending topics influence tweet volume in India and Turkey.

Social media proved crucial for support amidst the Russia-Ukraine crisis.

META-CODE helps find communities in uncertain networks using node metadata and dynamic querying.

Analyzing how multinational firms shape city economies and connections.

This study examines how income levels shape online interactions in community discussions.

Evaluating language models in transforming bug descriptions into correct code fixes.

A study on how user opinions match objective quality measures for questions.

Helix++ enhances software security using binary rewriting and Docker technology.

Examining ChatGPT's effectiveness in assisting with numerical programming tasks.

A recovery initiative aims to enhance the availability of software engineering tools and data.

GraphBinMatch improves matching binary code to source code across multiple languages.

QChecker helps detect bugs in quantum programs using static analysis techniques.

This article examines how our brains process computer code.

A new approach to translating songs that aligns lyrics with melodies effectively.

This research looks at using adaptive music in DareFightingICE for player insights.

Researchers develop LIPSFUS dataset for better lip reading systems.

This framework enhances speaker verification using unlabeled data and clustering techniques.

A new framework enhances emotion detection using self-supervised learning.

This approach links video actions and sound using physics for better sound effects.

A new method boosts speech recognition using visual data with existing models.

This article discusses a systematic approach to music annotation.

This article examines how ML and XAI improve symbolic computation methods.

New simulation methods enhance our understanding of spacecraft and debris interactions.