Computer Science

A new method improves understanding of clustering results through counterfactual explanations.

Juhaina is a new language model for Arabic and English speakers that respects cultural contexts.

A new framework enhances how language models engage through iterative prompts.

DriftNet mimics biological learning processes to enhance AI's ability to learn continuously.

A method to predict opponents' moves in simultaneous choice games.

A new approach speeds up processing in large language models for better performance.

Arena 4.0 enhances robot training with realistic environments and user-friendly features.

A new method enhances language model performance by streamlining external information.

Michelangelo evaluates language models on their ability to reason through long contexts.

A new framework enhances speech recognition by modeling sound relationships effectively.

Juhaina is a new language model for Arabic and English speakers that respects cultural contexts.

A new framework enhances how language models engage through iterative prompts.

Exploring how brain responses affect our understanding of language.

A new approach speeds up processing in large language models for better performance.

A new method enhances language model performance by streamlining external information.

A new method improves detection of inaccuracies in language models.

Research reveals new insights into group multiplication and its communication complexity.

Explore temporal VCSPs and their significance in optimization problems.

A look into the Max-Cut problem and its applications in various fields.

Research unveils faster mixing methods in random reversible circuits for improved cryptography.

Investigating how vertex merging impacts graph properties and classifications.

Analyzing line-based Dial-a-Ride and MinTurn problems for better transport efficiency.

A look into minimum spanning trees and their significance in various fields.

Examining how magic depth affects classical simulations of quantum circuits.

A study on neural operators' ability to enhance weather data resolution.

New method combines AI and diffusion models for innovative material designs.

This study evaluates the effectiveness of Bidirectional Multivariate LSTM in stock prediction.

A new framework streamlines microstructure design using natural language commands.

Combining optimal transport and structural models improves single-cell data interpretation.

Learn how centrifugal clutches enhance automatic transmission performance in vehicles.

Exploring new methods for predicting asset prices using language models and data analysis.

A look at infection risks and safety measures for factory workers.

A study on dynamic issues in unit disk graphs and efficient problem-solving methods.

Learn how to draw bipartite planar graphs using parallel methods.

HypersurfaceRegions.jl helps researchers analyze complex mathematical structures.

A look into minimum spanning trees and their significance in various fields.

A look into clustered planarity and linear saturation in graph representation.

A new algorithm enhances convex hull finding with improved efficiency.

Researchers develop methods to interpret crater shapes in space images.

A look into how our brains manage short-term memory with neural networks.

MEGA-PT improves penetration testing effectiveness and adaptability for better cybersecurity.

A look at how auction formats influence bidding behavior and outcomes.

Learn key trading strategies in a competitive environment.

Examining trade-intent auctions' fairness and efficiency in modern finance.

A new method improves fairness and fund utilization in community budgeting.

Exploring how friendships and enmities shape group stability.

Exploring various types and applications of matching problems in different fields.

A new auction-based method enhances the efficiency of collecting preference data for AI models.

EFA-YOLO model improves fire detection accuracy and speed using advanced techniques.

A new method simplifies 3D labeling for self-driving cars using standard camera images.

This research tests a tool to improve accuracy of traffic-based language models.

A new dataset aims to enhance multimodal reasoning in language models.

Examining CaPE's effects on probability estimates in image segmentation.

A new model for robotics enhances speed and reduces data needs.

A new framework enhances object relationship detection in videos, improving accuracy and adaptability.

Study reveals new methods to enhance metal 3D printing outcomes.

This study examines how personalized stories engage diverse readers.

Researchers introduce the STOP dataset to analyze bias in language models.

Examining how LLMs are changing writing and speaking in academic settings.

A new AI tool improves communication between teachers and students in large classes.

Enhancing access to primary healthcare in South Asia for better health outcomes.

Examining the pitfalls of scaling AI models beyond necessity.

This paper discusses fairness in selecting candidates for institutions amid biased evaluations.

Examining the impact of Topics API on digital advertising and competition.

This article discusses privacy-focused data methods using federated learning and deep transfer hashing.

Companies face hidden privacy threats in federated learning due to data distribution shifts.

Examining efficient attacks on Automatic Modulation Classification using the Golden Ratio.

Proxy contracts in Ethereum offer benefits but come with significant security concerns.

This article examines a fresh approach to secure public-key encryption.

Combining Federated Learning and quantum technology promises safer data handling in AI.

AI tools are changing how developers work and improving the software development process.

A new approach to classify malware efficiently using fewer labeled samples.

A study on dynamic issues in unit disk graphs and efficient problem-solving methods.

A look at flow decomposition's role in RNA assembly and its advancements.

New methods enhance efficiency in sampling log-concave distributions within polytopes.

This paper discusses fairness in selecting candidates for institutions amid biased evaluations.

Learn how covers enhance efficiency in string processing and analysis.

This research explores efficient learning of Markov Random Fields using dynamic samples.

A novel compressor boosts GMRES performance in solving linear equations.

Silq simplifies quantum programming with user-friendly features.

Researchers develop methods for better automated data wrangling code through context-rich examples.

A look at how advanced technologies can support legislative processes.

Learn simple methods for effective data joining and sampling.

Essential rules for preparing your paper for NeurIPS 2024 submission.

CAMAL combines machine learning and traditional methods to optimize LSM tree performance.

This paper examines how MongoDB optimizes query execution plans through unique methods.

This paper investigates fairness in blocking methods for entity matching systems.

An advisor to select the best model for database cardinality estimation based on data features.

Examining how LLMs are changing writing and speaking in academic settings.

RRD-Bio offers a centralized hub for over 2.5 million biomedical research resources.

A look into metal-organic frameworks and their growing significance in science.

A new approach to organizing data in low-temperature plasma research.

A system to streamline knowledge on Large Language Models for researchers.

Recommender systems can enhance access to historical documents in digital archives.

A framework to automate and improve scientific literature summaries for researchers.

Exploring the impact and issues of transformative agreements in academic publishing.

Exploring the structure and behavior of automata networks in various fields.

This study examines the process of reconfiguring spanning trees using matroid concepts.

Exploring various types and applications of matching problems in different fields.

Research expands Cohen's theorem to approximate spectral norms in Boolean functions.

AXE improves model performance while minimizing overflow in accumulator-aware quantization.

This study addresses multi-period facility location challenges and provides effective solutions.

A new method to analyze uncertain graphs and their centrality measures.

An overview of sandpile models and their role in studying complex systems.

This article discusses privacy-focused data methods using federated learning and deep transfer hashing.

New method improves MRI analysis for dementia diagnosis using classical and quantum techniques.

RapidOMS offers a faster, more efficient approach to mass spectrometry analysis.

A new approach to training language models improves efficiency and performance.

An overview of the importance and methods for verifying distributed systems.

A new algorithm improves real-time collaboration for document editing.

This approach improves efficiency in training models from large graph data while protecting privacy.

Examining trade-intent auctions' fairness and efficiency in modern finance.

Effective communication is vital for disaster response and recovery efforts.

Proxy contracts in Ethereum offer benefits but come with significant security concerns.

Research shows diverse circuits enhance quantum computing reliability.

PASS uses probabilistic computing to efficiently solve difficult challenges in various fields.

Exploring how generative AI can improve the Internet of Electric Vehicles.

A new method enhances decentralized load frequency control for electricity systems.

Omni 3D technology enhances device performance and reduces space requirements.

New methods aim to improve quantum image processing efficiency and reduce complexity.

This article discusses the Submonoid Membership problem in lamplighter groups and its implications.

A new method for faster string query evaluation using MSO logic.

An overview of finite automata, focusing on states, transitions, and reachability.

A new method enhances how robots plan and execute tasks effectively.

A framework for better understanding complex Markov chains using abstraction and sampling techniques.

Explore how Conway's cosmological theorem transforms number sequences through audioactive derivation.

Exploring formal methods to ensure the reliability of quantum technologies.

A look at how temporal logic shapes technology in our daily lives.

Cross RT streamlines graphics programming for various hardware platforms.

PanoCoach uses mixed reality to improve soccer coaching and player understanding.

A novel approach unites solid and fluid dynamics through particle flow maps.

A new technique improves accuracy and efficiency in creating 3D meshes.

A new technique improves hand tracking accuracy on capacitive touchscreens for remote collaboration.

A novel approach to create diverse, seamless textures for computer graphics.

Exploring a new dataset for non-rigid point cloud registration.

This article discusses a new AR tool that improves 3D drawing accuracy.

RapidOMS offers a faster, more efficient approach to mass spectrometry analysis.

Examining firmware vulnerabilities and the tools to enhance security.

New architecture enhances large language model performance on edge devices.

PASS uses probabilistic computing to efficiently solve difficult challenges in various fields.

Robot dogs may transform construction site monitoring and data collection.

Lowering calculation precision without losing accuracy using R2F2 technology.

A new framework enhances responsiveness in systems handling varied task priorities.

A new controller improves timing accuracy in safety-critical systems.

This study reveals how aspect ratio impacts data interpretation in parallel coordinate plots.

Researchers use language models to simplify vocabulary learning with mnemonics.

PanoCoach uses mixed reality to improve soccer coaching and player understanding.

A system to help users manage energy consumption in smart homes.

Learn how MapCraft simplifies the creation of geo-infographics.

A new technique improves hand tracking accuracy on capacitive touchscreens for remote collaboration.

A new AI tool improves communication between teachers and students in large classes.

New dataset enhances AI's ability to handle conversation misunderstandings.

A new method enhances language model performance by streamlining external information.

Improve customer engagement with targeted promotions that respect business limits.

A system that accurately suggests beauty products based on ingredients and skin needs.

SemDI enhances accuracy in identifying event causality using context.

Explore methods to improve user engagement predictions through data augmentation.

Learn how to create effective knowledge graphs for industry applications.

New methods improve Large Language Models through efficient information processing.

Learn how to assess clustering methods effectively using various metrics.

Effective communication is vital for disaster response and recovery efforts.

Exploring how brain responses affect our understanding of language.

A new approach enhances federated learning processes for better data transmission.

This article examines how UAVs enhance communication and energy collection in IoT networks.

A new method improves wavelet filter bank design for signal processing.

WAFeL improves device collaboration in federated learning while enhancing efficiency.

Developing adaptive trial designs to improve treatment effectiveness and patient care.

New methods in turbo equalization improve signal reception and reduce complexity.

Explore the significance of covering spaces in algebraic topology and their applications.

Exploring new methods to improve proof verification in software engineering.

A framework for analyzing concurrent programs with probabilistic outcomes.

Examining propositional equality's role in type theory and its implications.

A new framework aims to enhance reliability and clarity in AI reasoning.

Examining the relationship between mathematical proofs and geometric spaces.

Improving tools to check if loops in programs will finish running.

A framework for better understanding complex Markov chains using abstraction and sampling techniques.

A look into managing inventory when demand is unpredictable.

Michelangelo evaluates language models on their ability to reason through long contexts.

A new method improves understanding of clustering results through counterfactual explanations.

Exploring how federated learning enhances AI efficiency and privacy.

A new framework enhances speech recognition by modeling sound relationships effectively.

Strategies for making smarter choices under uncertain conditions.

A new framework enhances how language models engage through iterative prompts.

Introducing HEDGTC for improved analysis of spatiotemporal data.

Forester simplifies machine learning for R users with a user-friendly package.

Learn how the funnel method simplifies solving constrained optimization challenges.

Improving simulations of multiphase fluid flows using modern GPU technology.

HypersurfaceRegions.jl helps researchers analyze complex mathematical structures.

QHyper simplifies the use of quantum computing for combinatorial optimization tasks.

A simple guide to graphs, nodes, edges, and distances in real life.

A toolbox offering efficient methods for solving complex movement and change equations.

Learn how an algorithm simplifies complex optimization challenges.

A new framework enhances how language models engage through iterative prompts.

Research shows improved techniques for pathfinding with multiple agents in shared spaces.

A new method improves fairness and fund utilization in community budgeting.

Exploring various types and applications of matching problems in different fields.

A new system encourages diverse perspectives in artificial intelligence discussions.

A new method boosts material handling efficiency using multi-agent reinforcement learning.

A method for estimating sensor objectives amidst noisy observations.

AssistantX is a smart robotic assistant designed for dynamic office tasks.

A new dataset aims to enhance multimodal reasoning in language models.

Improved methods for boundary detection enhance CAD modeling from 3D scans.

A new approach enhances video question answering through scene text recognition.

Llama-AVSR merges audio and visual inputs for enhanced speech recognition accuracy.

A new system for creating dance camera movements synchronized with music.

Teams compete to improve methods for predicting video attention.

A new method combining models to improve unsupervised domain adaptation in segmentation tasks.

A new model creates audio that matches video, enhancing media experiences.

Using centrality to enhance data sharing in vehicular sensor networks.

Exploring the future of data and communication through advanced satellite networks and quantum computing.

Examining the impact of Topics API on digital advertising and competition.

Combining blockchain and IPFS offers a secure and efficient solution for version control.

Vercel automates network checks and fixes with speed and efficiency.

Exploring the role of Semantic Communication and security in next-gen networks.

New methods using language models enhance data processing in Earth observation systems.

RLSR-Routing improves Internet traffic routing using reinforcement learning for better efficiency.

A new method improves understanding of clustering results through counterfactual explanations.

Exploring the role of traveling waves in brain function and artificial intelligence.

Combining Federated Learning and quantum technology promises safer data handling in AI.

Examining the role of reproducibility in Quality-Diversity algorithms for real-world applications.

Analyzing the application of DBSCAN in neuromorphic systems for efficient data processing.

This article examines GAMs as a solution for predictive performance and interpretability.

Research merges evolutionary algorithms and quantum computing to tackle the Max-Cut problem.

A new method enhances predictions in machine learning using specialized models.

A novel method using neural networks to compute eigenvalues in large matrices.

Exploring how KANs improve solutions for optimal control challenges across various fields.

Explore the significance and uses of block structured matrices in math and engineering.

Explore the role of Lattice Boltzmann Method in studying multiphase flows.

New techniques in managing quantum systems enhance density matrix calculations.

Introducing a robust method for solving Navier-Stokes equations in fluid dynamics.

A new method improves neural network efficiency in scientific applications.

Study of machine-learning models predicting properties in solid materials, focusing on defects.

A detailed look at CXL memory performance and optimization techniques.

A look at FIFO and Round Robin scheduling methods in computing systems.

GPUVM enhances GPU memory management for faster data processing.

A unified API streamlines communication with NVMe devices for developers.

EDM transforms memory disaggregation, achieving rapid data access and efficiency.

HotMem speeds up memory reclamation in serverless setups for improved performance.

Chameleon system enhances language model performance by managing resources effectively.

Exploring the transition from blocking to asynchronous I/O methods.

A fresh approach offers deeper insights into cancer driver genes and their interactions.

Researchers create digital copies of animals for ethical and efficient studies.

Discover how DNA could change the future of data storage.

A novel compressor boosts GMRES performance in solving linear equations.

A study comparing LLMs Mistral and LLaMa on different GPUs.

Discover how causal relationships impact decisions in various fields.

A look at how LFRic performs on different supercomputers for weather predictions.

Researchers tackled real-world data search challenges at NeurIPS 2023.

A tool to analyze energy use by computer programs.

Photonic quantum computers may revolutionize solving complex optimization challenges.

Learn how Zernike Polynomials enhance optics and astrophysics.

A look at types, contexts, and proofs in programming languages.

Introducing an innovative proof assistant that enhances user interaction.

Exploring new methods to improve proof verification in software engineering.

Silq simplifies quantum programming with user-friendly features.

Exploring the importance of accountability in software systems affecting social and legal outcomes.

Improving tools to check if loops in programs will finish running.

Exploring how guarded recursion enhances infinite data structures in programming.

This paper examines the link between minimal intuitionistic logic and call-by-value evaluation in programming.

A new model for robotics enhances speed and reduces data needs.

Arena 4.0 enhances robot training with realistic environments and user-friendly features.

A look at how relevance helps robots assist humans effectively.

A new framework enhances collaboration between humans and robots.

The SHULDRD device enhances testing in human-robot interactions safely.

Learn how robots adapt and retain knowledge through continual learning.

Robots can now answer questions using long-term memory.

A new training method enhances robot parkour abilities safely and efficiently.

Examining fairness and bias in social media content recommendations.

Examining the impact of Topics API on digital advertising and competition.

A study reveals the rise of cybercrime activity on Telegram channels.

New models aim to combat harmful language online through advanced detection techniques.

Study reveals coordinated misinformation efforts during the upcoming presidential election.

A new method improves task affinity estimation for multitask learning.

Research shows how algorithms shape user views on social networks.

A detailed study reveals the impact of social networks on individual lives in Denmark.

Examining how biases in LLMs affect software team recruitment.

Research shows how auxiliary functions enhance code generation in instruction-tuned models.

A study examining student challenges and strategies in software modelling tasks.

A new method enhances software bug detection using LLM agents and a divide-and-conquer strategy.

Proxy contracts in Ethereum offer benefits but come with significant security concerns.

An automated approach improves log analysis and fault diagnosis in online services.

Researchers develop methods for better automated data wrangling code through context-rich examples.

AI tools are changing how developers work and improving the software development process.

A new framework enhances speech recognition by modeling sound relationships effectively.

New masking method improves voice conversion by separating speaker identity from phonetics.

Innovative techniques enhance music-text model training with limited resources.