Computer Science

SC-Phi2 is a small language model designed for efficient gameplay in StarCraft II.

A new approach enhances reliability in training language models through robust feedback systems.

A new method improves model reasoning through structured programming traces.

A new framework improves motion prediction for self-driving cars, enhancing safety and efficiency.

AMD-MIL improves tissue analysis for faster and more accurate disease diagnosis.

Using mathematical models to enhance pandemic response planning.

A new coding language aims to improve neural network training performance.

A new system combines LLMs and symbolic AI for better accuracy and transparency.

SC-Phi2 is a small language model designed for efficient gameplay in StarCraft II.

A new approach enhances reliability in training language models through robust feedback systems.

A new method improves model reasoning through structured programming traces.

A new method uses audio to enhance machine pronunciation accuracy.

A new system combines LLMs and symbolic AI for better accuracy and transparency.

HEARTS aims to improve stereotype detection in text while ensuring explainability and sustainability.

A new method enhances conversation flow using multiple documents as sources.

Enhancing language models for better Arabic dialect generation and cultural awareness.

Examining how improvements in decision trees can enhance coding theory methods.

New insights into Kolmogorov complexity enhance data compression methods.

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.

Patient-specific models enhance understanding of heart blood flow and treatment strategies.

A new method enhances stability in SPH simulations for solid dynamics.

This article discusses uncertainty analysis in engineering through the FgPC method.

New AI techniques improve fluid dynamics modeling accuracy and efficiency.

An overview of the implicit Euler method and its applications in differential inversion.

A new data-driven approach enhances etch rate predictions for better semiconductor production.

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

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

A look into the complexities of bichromatic spanning trees and their applications.

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.

CountChain uses blockchain to improve accuracy and trust in counting for online advertising.

Exploring new economic models for data using quantum communication principles.

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.

SRIF enhances shape matching techniques for animation, 3D printing, and virtual reality.

A new method enhances 3D scene clarity using 2D segmentation masks.

Introducing GRIN, a new model for depth estimation using sparse data.

AMD-MIL improves tissue analysis for faster and more accurate disease diagnosis.

A new method enhances sample selection in semi-supervised learning.

DAF-Net merges infrared and visible images for clearer insights.

Robots can now use facial expressions to show pain, aiding in healthcare training.

VALO optimizes LiDAR detection for autonomous vehicles, balancing speed and accuracy.

International cooperation is essential for AI safety standards.

Exploring the benefits and challenges of AI companions that remember user interactions.

Examining the slow progress toward the UN's 2030 goals across countries.

ARTAI aims to assess societal impacts of recommender systems and enhance transparency.

Exploring stakeholder perceptions of fairness in machine learning models amid multiplicity.

This article reveals differences in treatment of male and female candidates in interviews.

Strong baseline models enhance the evaluation of ML systems in healthcare.

This study examines how emotions impact our decisions to share personal information.

A look at how attackers replicate neural networks with limited output access.

CountChain uses blockchain to improve accuracy and trust in counting for online advertising.

This article explores how QUBO can enhance cryptographic solutions.

New AI tool enhances file type detection accuracy and efficiency.

Explore methods to maintain accurate and reliable financial data.

Introducing PAD-FT, a lightweight method to fight backdoor attacks without clean data.

Oblivious data structures protect sensitive information by hiding access patterns.

A new self-ensemble approach improves model resilience to adversarial changes.

Combining algorithms and machine learning enhances efficiency in handling data streams.

Learn how differential privacy enhances data analysis while safeguarding personal information.

Learn how adjacency labeling optimizes graph data storage and analysis.

Oblivious data structures protect sensitive information by hiding access patterns.

An overview of joint embedding property and its implications for cographs and trees.

Examining how improvements in decision trees can enhance coding theory methods.

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 improve speed and relevance in finding similar user travel paths.

A new method improves the efficiency of GraphQL queries on knowledge graphs.

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.

A new perspective on how scholars decide where to publish their work.

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.

Learn how digraphs improve refueling station placement for electric vehicles.

A look at how sparse graphs relate to their line graphs and properties.

Learn how adjacency labeling optimizes graph data storage and analysis.

A look at how graphs help in real-world applications like logistics.

An overview of joint embedding property and its implications for cographs and trees.

This study reveals the limits and structures of planar -complete graphs.

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

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

CountChain uses blockchain to improve accuracy and trust in counting for online advertising.

This article discusses a new approach for network management through serverless computing.

A new RL environment aims to improve code optimization for MLIR compiler.

A study analyzing blockchain fault tolerance across five modern systems.

A new method combines Federated Learning and Adversarial Training for insider threat detection.

This research enhances RFA simulations by applying parallel computing techniques to reduce execution time.

CARAML offers a new way to assess AI hardware efficiency in machine learning tasks.

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

Learn how LoRa improves communication in agriculture for better efficiency.

Learn how UL-TDoA enhances 5G positioning capabilities for various industries.

Discover how Quantum Computing is reshaping musical creativity with the Variational Quantum Harmonizer.

Examining the challenges and solutions for child internet safety in Tanzania.

A novel method enhances control of quantum systems through flexible pulse management.

LightSABRE enhances quantum circuit performance with speed and quality improvements.

Effective communication is vital for disaster response and recovery efforts.

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

A new approach to help self-driving cars make safer decisions on the road.

This article discusses a new method for generating correctness proofs in Rust.

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.

A method to prevent sagging in elastic strands through rest shape optimization.

A new method improves 3D head models for realism and performance.

A new method improves facial animation transfer for digital characters.

A new technique improves image realism by decoupling color and shape representation.

A new method to improve 3D rendering quality and detail.

A new method improves uncertainty estimation in computer graphics for realistic scene representations.

Cross RT streamlines graphics programming for various hardware platforms.

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

A method to improve efficiency in neural networks using in-memory computing.

A new system leverages spiking neural networks for efficient data processing.

New methods improve high-level synthesis through efficient design space exploration.

CARAML offers a new way to assess AI hardware efficiency in machine learning tasks.

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.

Leveraging student talent for essential cybersecurity assessments in local businesses.

Learn how multimodal vector search improves information retrieval through advanced user interactions.

Research highlights how nonverbal actions affect interactions with robots and characters.

This study examines how AR technology aids both novices and experts in precision tasks.

Examining how AI suggestions affect writing across cultures.

Exploring the benefits and challenges of AI companions that remember user interactions.

Examining prompt programming and its impact on software creation and user experience.

Exploring stakeholder perceptions of fairness in machine learning models amid multiplicity.

Learn how multimodal vector search improves information retrieval through advanced user interactions.

This article outlines a framework to better rank content providers using user feedback.

New methods improve speed and relevance in finding similar user travel paths.

Learn how personalization transforms video search experiences for users.

Robots improve task performance using Progressive Retrieval Augmented Generation.

PaperQA2 aids researchers in literature search and error detection.

Promptriever simplifies information retrieval by following user instructions.

Enhancing user experiences through integrated recommendation systems.

Exploring hybrid beamforming with widely-spaced arrays for improved THz communication.

Research explores new methods to secure communication in sensing technologies.

Explore how the firefly algorithm enhances antenna positioning and beamforming.

A look into the risks and measures for protecting sensitive data.

An innovative toolkit simplifies the process of generating exam questions for educators.

New advancements in quantum error correction enhance reliability in quantum computing.

Explore how typical states clarify the behavior of complex systems.

A look into the future of wireless technology and the benefits of new beamforming techniques.

A fresh approach to lambda calculus, integrating resource usage and approximation.

A look at the Stability Property and its significance in call-by-value calculus.

A look at how randomness shapes modern computational techniques.

A look into functions, derivatives, and their interconnectedness in everyday scenarios.

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 approach enhances reliability in training language models through robust feedback systems.

A new method improves model reasoning through structured programming traces.

An overview of optimal sampling methods in least-squares approximation.

A new framework improves motion prediction for self-driving cars, enhancing safety and efficiency.

Introducing GRIN, a new model for depth estimation using sparse data.

A new method enhances sample selection in semi-supervised learning.

A look at how attackers replicate neural networks with limited output access.

DAF-Net merges infrared and visible images for clearer insights.

Learn how quantum emulators advance research and explore algorithm performance.

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.

A new framework improves motion prediction for self-driving cars, enhancing safety and efficiency.

Investigating how AI agents reproduce scientific results through a new benchmark.

A new method for deploying UAVs in unknown areas using RL and PPO.

Robot vehicles improve traffic management and reduce waiting times at busy intersections.

A flexible approach for analyzing changing relationships in multi-output data.

Examining the impact of data quality on offline multi-agent reinforcement learning research.

Research shows how linked robots can tackle uneven surfaces effectively.

A study on how AI can work together to handle disruptions effectively.

New methods improve audio synchronization with changing video scenes.

NVLM enhances AI's grasp of language and visuals for diverse tasks.

TRIM method reduces image tokens in multi-modal language models while maintaining performance.

Exploring how LLMs improve reasoning across various data types.

PDMX offers a vast collection of public domain symbolic music for AI development.

MoRAG enhances human motion generation from text descriptions using part-specific retrieval.

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

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

Learn how LoRa improves communication in agriculture for better efficiency.

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.

A new system leverages spiking neural networks for efficient data processing.

Inferno helps researchers work with spiking neural networks effectively.

Explore how the brain processes information, memories, and emotions.

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.

An overview of optimal sampling methods in least-squares approximation.

Understanding how to protect the power grid from cyber attacks using graph theory.

This article covers techniques to enhance system stability through damping optimization.

Introducing TFPONets for solving interface problems with deep learning techniques.

Introducing ComFNO, a method for tackling complex differential equations using deep learning.

Explore methods to maintain accurate and reliable financial data.

Innovative methods for efficient solutions to complex inverse problems in various fields.

Mamba offers a new way to analyze complex systems using machine learning.

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.

nekCRF enhances combustion simulations for better efficiency and lower emissions.

Learn how UL-TDoA enhances 5G positioning capabilities for various industries.

A study analyzing blockchain fault tolerance across five modern systems.

This research enhances RFA simulations by applying parallel computing techniques to reduce execution time.

CARAML offers a new way to assess AI hardware efficiency in machine learning tasks.

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 new coding language aims to improve neural network training performance.

Minuska provides a robust method for creating verified interpreters from language definitions.

A look into how parties share information in quantum computing.

Learn how continuations aid in managing quantum computations.

QLMNtal enhances graph handling with powerful quantification features.

vMocks streamline formal verification, enhancing software safety and reliability.

Exploring the importance of memory consistency in multi-threaded programming environments.

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

iKnap enhances robot teamwork by optimizing information sharing under communication limits.

A new robot enhances accuracy in MRI-guided prostate biopsies.

New control method improves safety and flexibility for tendon-driven robots.

A new method enhances 3D scene clarity using 2D segmentation masks.

A new framework improves motion prediction for self-driving cars, enhancing safety and efficiency.

A new method helps robots navigate better in unknown environments.

A method helps quadruped robots stay safe while carrying varying loads.

PLATO enables robots to understand natural language for better task execution.

PropEnc transforms graph metrics into useful node features, enhancing GNN performance.

Introducing a flexible method for simplifying network connections without fixed parameters.

A study compares models for detecting cyberbullying targeting LGBTQ+ individuals on social media.

A new method enhances freelancer and project matching efficiency across languages.

Exploring self-similarity in networks over time reveals insights into complex systems.

A study on how organizations behave on social media regarding climate change.

New technique enhances network analysis using approximate equitable partitions.

An overview of ADHD, its causes, symptoms, and effective treatment options.