Computer Science

A novel approach to fair data selection in real-time streams.

A study on how pose estimation models perform with corrupted images.

Introducing iWISDM, a new benchmark for assessing machine instruction following with visuals and language.

New models offer clear insights for text predictions without extensive labeling.

LiveMind enhances language models for faster, real-time interactions with users.

A new approach improves KBQA systems' ability to handle unanswerable questions.

K-Tokeniser improves language models' processing of clinical texts.

A novel approach enhances question answering by breaking down and generating relevant information.

New models offer clear insights for text predictions without extensive labeling.

LiveMind enhances language models for faster, real-time interactions with users.

A deep dive into how well vision models recognize and represent multiple objects.

A new approach improves KBQA systems' ability to handle unanswerable questions.

K-Tokeniser improves language models' processing of clinical texts.

A novel approach enhances question answering by breaking down and generating relevant information.

A new method for assessing LLMs aligns with human values.

Enhancing medical report accuracy through innovative tagging methods.

Learn how to manage data quality using SHACL and consistent query answering.

Explore how Fourier analysis enhances the understanding of sparse Boolean functions.

Explore the intricacies of reachability in temporal graphs and their unique challenges.

This article examines the challenges in finding specific subgraphs in graph theory.

Exploring the effects of adversarial influence on half-duplex communication efficiency.

Examining how random walks impact solutions in constraint satisfaction problems.

Exploring the potential and challenges of high dimensional expanders in diverse fields.

This article discusses how two-player games reveal insights into logic and binary strings.

New strategies aim to improve liquidity in decentralized trading systems.

Tempora-Fusion enhances Time-Lock Puzzles for secure and verifiable computations.

A standardized platform for testing learning algorithms in boundary control of partial differential equations.

A new method predicts optimal mesh spacing for fluid simulations, enhancing efficiency.

Enhanced accuracy in simulating thin engineering structures like shells and beams.

Learn effective strategies for error management in co-simulation scenarios.

AFBench offers a vast dataset for improved airfoil design techniques.

A new method enhances financial simulations using detailed Limit Order Book data.

A look into SCP's role in optimization and its applications.

New methods enhance rectangle coverage of orthogonal polygons, including boundary and interior challenges.

Examining sparse outerstring graphs reveals efficient solutions for complex problems.

Exploring how simple parts come together to form complex structures.

An overview of online sorting and the online Traveling Salesperson Problem.

A method for classifying red and blue points efficiently over time.

Exploring the crossing number problem in graphs and its real-world applications.

An exploration of how paths connect through systematic flips.

Effective resource management is crucial for winning elections.

A look into how delegation influences decision-making between principals and agents.

This article explores strategy development using counting steps in graph-based games.

New algorithms improve decision-making in online knapsack problem using succinct predictions.

Exploring how game theory can help manage disease spread and protection measures.

This paper investigates randomized algorithms for better performance in online bin stretching problems.

A look into fair division principles and their importance in resource sharing.

This paper examines the time it takes for workers to find new jobs after resigning.

A study on how pose estimation models perform with corrupted images.

A deep dive into how well vision models recognize and represent multiple objects.

DuMapNet simplifies lane-level map generation, enhancing transportation applications.

New designs improve object detection efficiency for diverse applications.

A new method combines hyperspectral and multispectral images for enhanced quality.

A study on trust and uncertainty in semantic segmentation outputs.

A new framework enhances how we evaluate and design imaging systems.

This paper presents a new model for hyperspectral image classification using CNN and transformer techniques.

A new method for assessing LLMs aligns with human values.

A new method tracks energy use to monitor older adults discreetly.

Identifying AI-generated text is crucial for trust in information.

Keystroke dynamics offers a fresh approach to academic integrity in digital learning.

This study investigates public views on homelessness using social media analysis.

How TikTok shapes user habits around vaping and drinking.

Exploring how AI is transforming the renewable energy landscape for better efficiency.

Examining the need for better rules for AI in healthcare.

Examining the security and challenges of QPKE in a quantum computing world.

SeCTIS enables safe sharing of cyber threat intelligence while maintaining privacy and data quality.

Exploring privacy-preserving technologies in medical image analysis.

A study on how language models can ignore instructions and their implications.

A new protocol combines transport and encryption for safe, efficient data movement.

QuADTool simplifies risk assessment through attack-defense trees.

New techniques enhance privacy and security in database queries and transactions.

Assessing the effectiveness of Cyber Essentials against evolving cyber threats.

A look into SCP's role in optimization and its applications.

A new method for estimating edge density in random graphs while ensuring privacy.

A novel method uses random walks for efficient graph clustering.

Barter exchanges enable trading goods without money in today's online world.

A study on Steiner cuts and their applications in dynamic graph changes.

A look into maximal cliques and minimal transversals in graphs.

Learn how differential privacy protects individual data while allowing useful analysis.

A new algorithm improves frequency estimation and heavy hitter identification in networks.

Exploring techniques for privacy-preserving data analysis while ensuring accuracy.

New techniques enhance privacy and security in database queries and transactions.

Using property graphs to simplify the analysis of complex laws.

New methods reduce temporary results in complex aggregate queries.

SimClone detects data clones in tabular datasets without relying on structural features.

CompassDB offers a fast and efficient key-value storage solution.

Introducing QSketch and QSketch-Dyn for fast, memory-efficient data stream analysis.

Learn about a new tool for discovering patterns in graph databases.

A look at how databases categorize published research materials.

A study on how new ideas transform astronomical research through technology and collaboration.

A new system simplifies citation management for preprints, enhancing visibility and collaboration.

A new dataset sheds light on historical newspapers from Latin America.

Examining how the disruption index may misrepresent innovation trends.

A new framework aims to automate paper reviews for better quality feedback.

GraphMuse streamlines the analysis of symbolic music data with advanced machine learning techniques.

Reviewing key trends and collaborations in COVID-19 studies during 2020.

A look into maximal cliques and minimal transversals in graphs.

A look into how polyominoes interact and develop through various processes.

Explore how degree sequences affect random graph characteristics.

A new approach to solve the Maximum Independent Set problem without training data.

This study enhances mobile agent efficiency in locating hidden targets.

Study reveals methods for efficient target search by mobile agents in circular areas.

Learn about planar graphs and their significance in various fields.

Exploring the crossing number problem in graphs and its real-world applications.

Combining AI and HPC enhances simulations for scientific research.

Learn how RoCoIn improves efficiency in IoT device collaboration.

A look into SCP's role in optimization and its applications.

A fresh approach enables weaker devices to contribute in federated learning.

A new framework improves how large language models can work on edge devices.

Combining IoT and blockchain enhances privacy and security for location tracking.

New methods boost particle interaction calculations using Graphics Processing Units.

AI transforms how scientists tackle complex research challenges.

A new network model enhances drone communication in crisis situations.

Identifying flaws in smart contracts to enhance security and reduce risk.

A look into SPIMs and their potential in optimization problems.

EON-1 chip offers efficient real-time AI learning for battery-powered devices.

Learn how Ising models simulate logic gates and address complex problems in technology.

A look into how Ising machines enhance optimization techniques.

New Ising machine model improves optimization problem solving and computational speed.

Discover how AI is transforming image annotation for better accuracy and speed.

Learn about GOCTA and their role in processing tree structures.

Learn about PEGs, their history, structure, and applications in programming and parsing.

A look at positive logic and monotonicity in first-order and linear temporal logic.

This article explores strategy development using counting steps in graph-based games.

A look into the importance of verifying CCF for secure cloud applications.

An overview of automata, their types, and practical uses in computer science.

A study of backreferences in regular expressions and their relation to formal languages.

Investigating methods to reduce differences in behavior between probabilistic systems.

CMTNet enhances hyperspectral imaging technology for better crop identification.

Improving 3DGS for efficient image synthesis on limited resource devices.

Use simple language to create effective visualizations for complex data.

VR technology enhances training for neonatal resuscitation, improving healthcare skills and confidence.

A new method improves speed and efficiency in rendering moving objects and edited materials.

A new method to digitize soft objects without damage using wearable technology.

This article examines how chatbot personality affects educational interactions.

Introducing a method to create realistic 3D scenes for virtual reality and design.

Edge computing and Near-Memory Computing are changing data processing dynamics.

A new method improves memory access for dynamic graph applications, boosting performance and efficiency.

Constable enhances processor efficiency by eliminating unnecessary load instruction executions.

Samsara improves reliability and security in hardware accelerators, ensuring efficient computing.

FRED enhances communication for faster and more efficient deep learning training.

This article discusses DRAM read disturbance and innovative management techniques.

New Ising machine model improves optimization problem solving and computational speed.

A new instruction set boosts performance in data streaming tasks.

Study shows touch improves memory for virtual objects.

VR technology enhances training for neonatal resuscitation, improving healthcare skills and confidence.

New tool transforms complex data into clear visuals using plain language.

A new system improves real-time hand gesture recognition for various applications.

Research explores video analysis as a tool for early Parkinson's disease detection.

How TikTok shapes user habits around vaping and drinking.

EntangleVR++ allows users to create interactive stories influenced by player choices.

ConnectVR empowers creators to build interactive VR stories without coding skills.

This article examines the barriers and solutions to improve reproducibility in ML research.

DIRAS improves relevance annotation for information retrieval, optimizing performance across various domains.

This article discusses how RAG systems enhance text generation using external information.

This work enhances privacy in graph diffusion while maintaining data utility.

Exploring how user profiles improve personalization in language models.

A new method enhances personalized recommendations by focusing on group relationships and diversity.

A new framework combines language models and knowledge graphs for clearer product suggestions.

A study highlighting the importance of comprehensive annotations for retrieval evaluation.

A new approach to improve wireless communication using intelligent surfaces.

Explore efficient communication focused on relevant data and adapting to changes.

Exploring how Integrated Sensing and Communication optimizes performance for wireless devices.

Examining the limits of nonlocal correlations and their implications for secure communication.

New algorithm enhances CNOT circuit performance in quantum computing.

Examining the connections between micro and macro states in complex systems.

A new framework enhances how we evaluate and design imaging systems.

This paper evaluates deep learning models for predicting channel state information in wireless communication.

A look at how ERCL improves SAT solver efficiency.

New methods reveal decidability in quasi-dense logics using database theory.

This article presents a fresh perspective on analyzing Markov chains through distribution transformers.

Learn how element-free distributions streamline analysis and improve data organization.

New techniques improve large language models' reasoning and logic performance.

Enhancing logic programming performance by analyzing variable sharing and linearity.

A study on how polyhedra and their points connect in various applications.

A deeper look into reasoning about programs with random elements.

QuEE combines quantization and early exiting for efficient machine learning.

Exploring the role of transformers in predicting sequential data outcomes.

A novel approach to fair data selection in real-time streams.

Ensuring AI explanations are clear and reliable for user trust.

A new approach improves optimization of complex loss functions in neural networks.

A new benchmark enhances long-term predictions in event sequences across industries.

Discover how random features simplify complex calculations in machine learning.

This article examines the barriers and solutions to improve reproducibility in ML research.

A look at modern methods in engineering design for efficiency and performance.

Hiperwalk aids researchers in simulating quantum walks on complex graphs, enhancing quantum studies.

A user-friendly tool for building Petri Nets and simulating complex systems.

DASTAC enhances tensor computations by combining dense and sparse techniques for efficiency.

New approaches to tackle complex linear systems efficiently.

A new framework for optimizing complex geodesic convex problems in various fields.

HOBOTAN efficiently tackles complex higher-order optimization problems using advanced computing techniques.

Learn how Restricted Function Spaces improve PDE solutions in Firedrake.

A new algorithm optimizes multi-agent systems while protecting user privacy.

A new framework enhances learning efficiency in multi-agent systems through innovative world modeling.

INDICT enhances code safety and helpfulness using dual critique analysis.

Examining the importance of fairness in sharing information across diverse groups.

A new model enhances communication and training among agents using belief maps.

Discover how multi-agent systems enhance task automation and problem-solving.

A look into strategies for managing large groups of agents through reinforcement learning.

Agents learn strategic gameplay in Pommerman through a structured training approach.

A new method improves image and text retrieval across multiple languages.

Discover how diffusion models change video editing through AI technology.

Research shows text-image inconsistency rises with post popularity on social media.

New dataset improves audio generation from detailed text descriptions.

A new tool for testing language models in noisy environments.

A new method for creating cleaner reference meshes from dynamic 3D shapes.

A new method reduces the need for labeled data in computer vision tasks.

This article presents a method to generate accurate sound from videos and text.

Exploring how Integrated Sensing and Communication optimizes performance for wireless devices.

A new protocol combines transport and encryption for safe, efficient data movement.

A new network model enhances drone communication in crisis situations.

This article discusses application performance issues in Dragonfly+ network systems.

This article discusses improving satellite communication through blockchain technology.

A comprehensive model aims to enhance security and dependability in 5G-MEC environments.

NCR technology aims to improve signal strength in weak coverage areas.

6G networks promise faster connections through advanced technologies like ISAC.

Exploring the role of transformers in predicting sequential data outcomes.

An exploration of neural networks and their dynamic extensions, neural ODEs.

Examining bistable networks and their potential applications in various fields.

LLM2FEA combines generative AI and evolutionary algorithms for innovative design solutions.

A new benchmarking suite improves compiler autotuning efficiency and effectiveness.

Discover how MRRs enhance efficiency in reservoir computing tasks.

This article discusses the connection between FFA and Hebbian learning in AI.

EON-1 chip offers efficient real-time AI learning for battery-powered devices.

Exploring the role of transformers in predicting sequential data outcomes.

A new method enhances efficiency in optimal transport problems using flow updates.

SWIFT improves atmospheric transport methods, ensuring essential properties in simulations.

This study presents methods for solving complex coefficient inverse problems in games.

Learn about IPMs and how MLMC enhances their performance across various applications.

A new method efficiently handles shock formations in Burgers' equation.

Combining quantum and classical methods to tackle fluid motion equations.

Innovative sampling technique tackles challenges in complex distributions for machine learning.

A study on memory allocators and their impact on embedded system performance.

A new system enhances application performance and energy efficiency in heterogeneous processors.

Optimizing memory management for better performance in embedded systems.

A new model that helps cloud applications use serverless resources effectively.

A new system improves cloud performance and reduces costs by combining VMs and FaaS.

Exploring Rust's role in enhancing OS security and reliability.

MAARS framework enhances the security of timing-sensitive tasks in cyber-physical systems.

New framework for NPUs enhances resource sharing and reduces costs.

Innovative methods aim to improve parking management in busy cities.

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.

Enhancing response times for large language models using a new adaptive approach.

CEBench helps businesses and researchers assess LLMs while managing costs and performance.

A look at how autotuning enhances mixed-kernel SVMs for data analysis.

LLload makes it easier to track job performance on HPC systems.

MIREncoder improves code optimization using multi-modal representation and machine learning.

SPOGA accelerates deep neural networks with improved speed and energy efficiency.

ConvBench offers a new way to assess convolution algorithm performance effectively.

Learn effective methods to estimate the energy footprint of software.

New methods enhance uncomputation efficiency in complex quantum programs.

Learn how probabilistic programming helps analyze uncertainty in data.

A new modular approach enhances variational inference in probabilistic programming languages.

INDICT enhances code safety and helpfulness using dual critique analysis.

Enhancing logic programming performance by analyzing variable sharing and linearity.

A look into uniform algebras and their role in Prolog and logic programming.

A guide on programming with types, examples, and realizability.

New models improve software code efficiency and compiler performance.

A new method improves safety for drones using resilient estimation and control barrier functions.

Innovative sensors improve measurement and control of tiny flying robots.

A new method aids robots in carrying objects collaboratively.

Robots can now follow natural language commands more effectively.

A new dataset improves rear-end crash analysis and safety technology evaluation.

A method to enhance robot navigation from simulation to real environments.

Learn how robots manage orientation in changing 3D environments.

A new approach helps robots adapt quickly to unfamiliar tasks.

Research shows local awareness plays a key role in managing disease outbreaks.

This paper examines how PageRank adapts to the dynamics of temporal networks.

This article presents a method for real-time spam review detection and explainability.

A new framework helps visualize dynamic graphs for better insights and analysis.

Examining the importance of fairness in sharing information across diverse groups.

Introducing h-Louvain for better community detection in complex networks.

An analysis of skill requirements in UK job advertisements.

This paper introduces Demarcation to tackle online abusive speech effectively.

This article examines the barriers and solutions to improve reproducibility in ML research.

This study discusses using machine learning to improve type inference in programming languages.

A study on automating title generation for better developer responses.

FeaTestSelPrio enhances testing efficiency in highly configurable software systems.

This study examines how interval analysis improves the effectiveness of Bounded Model Checking.

A new code review system helps students gain better feedback in programming.

A new tool aims to identify vulnerabilities in cross-chain smart contracts.

A new framework improves detection of state-reverting vulnerabilities in smart contracts.

New methods improve accuracy in recognizing overlapping sounds across diverse audio sources.

A new method combines acoustic features and confidence scores for better error correction.

SecureSpectra offers a new way to safeguard audio identity against deepfake threats.

Combining physics and geometry for improved acoustic scattering predictions.

A new system for accurate and fast speech translation across multiple languages.

A simple method to create voices and control emotions in speech synthesis.

Improving MMDenseNet for quick and efficient music separation.

A new method improves machine dialogue through pseudo-stereo data.

A fresh approach to AI combines language models with symbolic programs for better interpretability.

This article presents a method to certify feasibility in semidefinite programming.

New AI models enhance reasoning skills using visual puzzles.

Examining the security of SHA-256 and recent collision finding techniques.

New hybrid methods improve efficiency in integer factorization for cryptography.

Differentiable Tree Experts improves tree operations in artificial intelligence.

A look into techniques for counting regular graphs and their applications.

FEAS enhances automated theorem proving for functional equations using new strategies.

A new method improves safety for drones using resilient estimation and control barrier functions.

Innovative sensors improve measurement and control of tiny flying robots.

Examining the connections between micro and macro states in complex systems.

A new algorithm optimizes multi-agent systems while protecting user privacy.

A new control method improves drone teamwork and efficiency.

New technology improves energy management for electric vehicle charging.

A method to manage systems effectively with limited control inputs.