Computer Science

A new model enhances event reference recognition across multiple documents.

Examining how vision transformers understand object relationships in images.

Learn about FTFIs and their impact on tree data structures in machine learning.

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

A method to improve data collection for systems that change over time.

Agents improve adaptability and efficiency using abstract models for planning and learning.

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

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

A new model enhances event reference recognition across multiple documents.

A new framework improves language models' representation of diverse human values.

Research shows how multilingual feedback can enhance language model reliability.

A study on Italy's regional languages using advanced speech analysis techniques.

Research shows models struggle with step dependencies in cooking recipes.

Exploring how attention sinks impact language model performance and introducing a calibration technique.

Analyzing AI models' performance on children's math problems reveals significant gaps.

RankAdaptor optimizes fine-tuning for pruned AI models, enhancing performance efficiently.

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.

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 new method improves radiation impedance calculations for better ultrasound device design.

This article introduces a method to improve delamination modeling in composite materials.

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.

New techniques for finding efficient paths in weighted areas.

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.

Exploring the role of airdrop farmers in user growth.

Discover the potential of reference-based modulation in digital art.

Early detection of prostate cancer improves treatment outcomes.

Examining how vision transformers understand object relationships in images.

A new network improves 3D object detection using weak labels.

A new model enhances the link between visual and language understanding.

Analyzing AI models' performance on children's math problems reveals significant gaps.

YouDream generates detailed 3D animals from text, offering creative control.

Introducing DARE, a method to improve machine learning without forgetting old knowledge.

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.

Experts from the US and China discuss AI safety and security.

Exploring the role of synthetic data in enhancing healthcare AI systems.

Fairpriori improves fairness testing in machine learning, focusing on intersectional bias.

A look at how AI models interpret human choices and the need for improvement.

This paper explores fairness and stability in machine learning models affected by their predictions.

INDICT enhances code safety and helpfulness using dual critique analysis.

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

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

This article examines improvements in blockchain Layer 2 solutions for scalability and security.

A new approach using sidechains to enhance AMM performance and reduce costs.

A new method tackles hidden threats in large language models.

Lomas enables secure access to public data for research without compromising privacy.

Introducing watermarking to protect counterfactual explanations in machine learning.

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.

A new method to efficiently map changing graphs while maintaining distance accuracy.

This article discusses strategies for effective collateral management in layer-two blockchain systems.

Examining sparse outerstring graphs reveals efficient solutions for complex problems.

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

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

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 new model streamlines data analysis in vast datasets using sketches.

A new benchmark for assessing AKNN algorithms in continuously changing environments.

A simple method to improve data structures using tree covering.

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 system that improves information retrieval by clarifying user questions.

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.

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.

New method enhances DNN training efficiency and reduces memory use.

This article discusses the role of GPUs in simulating complex multiphase flows.

A look at how impure simplicial complexes improve understanding of complex agent interactions.

This article discusses improving satellite communication through blockchain technology.

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.

This study analyzes how GPT-4 detects quitting intentions among vaping Reddit users.

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.

Learn about key programming concepts for better data handling and error management.

Explore how spliffers shuffle and split words efficiently.

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.

A new method cuts storage requirements for 3D graphics without losing quality.

SMPLOlympics offers simulated environments for humanoids to compete in Olympic-style sports, enhancing movement learning.

Data-parallel ANARI improves rendering efficiency and quality in scientific visualization.

New method enhances analysis of elongated and flattened particle shapes.

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.

This research introduces an innovative approach to enhance energy efficiency in IoT devices using FPGAs.

A new standard improves neural network speed and energy efficiency in computing.

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.

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

Flowy enhances UX design by analyzing user flow examples for better decision-making.

Crepe empowers researchers to collect mobile screen data easily.

FacePsy analyzes facial cues to assist in recognizing depression.

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

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.

Using search data to predict car sales and flu rates.

A new framework tackles shifting job seeker preferences and improves recommendation accuracy.

Discover how intent-awareness shapes modern recommendation systems for better user experiences.

This article examines how LLM-generated embeddings relate to key tokens in texts.

This study assesses lightweight embedding methods for effective recommender systems.

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

Researchers use machine learning to improve signal detection in communication systems.

Exploring the future of data transmission with super amplitude phase shift keying.

New approach enhances decision-making by providing reliable input changes.

A new method enhances satellite data routing for better communication efficiency.

New methods enhance communication efficiency for many devices in wireless networks.

Exploring RSMA's impact on uplink communication efficiency and user fairness.

Examining spatial data patterns and their information content.

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.

Learn about drags and their rewriting process in graphs.

Exploring new strategies and algorithms for parity and open parity games.

A look at how impure simplicial complexes improve understanding of complex agent interactions.

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.

Discover the potential of reference-based modulation in digital art.

Synthetic data aids survival analysis by generating realistic datasets for better modeling.

Researchers use machine learning to improve signal detection in communication systems.

Exploring how Transformers classify data through contextual information.

Improving MMDenseNet for quick and efficient music separation.

Learn about FTFIs and their impact on tree data structures in machine learning.

A new method simplifies variable selection in large datasets.

A look into injectivity challenges and methods in ReLU layers within neural networks.

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 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 enhances data freshness for smart vehicles using innovative algorithms.

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.

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.

Enhancing vehicle communication with advanced technology for safer roads.

A fresh method to assess the centralization of the Internet globally.

Examining how routing techniques influence censorship experiences worldwide.

New methods to keep real-time data relevant in connected environments.

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 genetic algorithms in optimizing quantum circuit design.

New method enhances spiking neural networks' performance in language tasks.

This study explores how self-replicators can form from random programming interactions.

A new benchmark for improving biophysical sequence optimization methods.

A guide on constructing visually pleasing and mathematically precise curves.

Examining solutions to time-fractional biharmonic problems in engineering and physics.

A new FFT-based method improves the study of materials with complex microstructures.

Discover how time-spectral methods improve the solving of differential equations.

A new method enhances accuracy in simulating water wave behavior for offshore engineering.

This study introduces tensor-train networks to enhance flow simulation accuracy and efficiency.

We analyze numerical methods for the Cahn-Hilliard equation on changing surfaces.

A new method improves accuracy in singularly perturbed reaction-diffusion problems.

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.

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.

A new approach to reduce tail latency in applications using a dynamic thread pool.

This paper analyzes the importance of auto-tuning for AMD GPUs in high-performance computing.

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 framework enhances reliability in asynchronous communication systems through time management.

A new approach optimizes kernel performance utilizing Ansor and Droplet Search.

A new approach helps robots adapt quickly to unfamiliar tasks.

Research advances methods for safer robot navigation using uncertainty estimation techniques.

A new method improves robot learning efficiency through better human interaction.

New control framework improves tracking and treatment accuracy for soft laser manipulators.

New methods enhance drone navigation and safety in complex environments.

neuROSym improves robots' ability to predict human actions in real-time.

Robots collaborate in real-time mapping without GPS reliance.

A method for bipedal robots to move safely in crowded environments.

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.

A new model highlights the importance of group appeal in social interactions.

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

Introducing CryptoTrade, a system for smarter cryptocurrency trading using innovative data analysis.

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

INDICT enhances code safety and helpfulness using dual critique analysis.

Learn how debloating improves software performance and security by removing unnecessary code.

Fairpriori improves fairness testing in machine learning, focusing on intersectional bias.

Exploring the significance of theorizing for software engineering researchers and educators.

This research focuses on using LLM-based agents for better software maintenance.

Celebrating good coding practices with code perfumes for Java learners.

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

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.

This study presents a dataset and method to enhance Chinese ASR accuracy using Pinyin.

Innovative techniques improve loudspeaker design and sound direction.

This study focuses on improving detection of deepfake audio using advanced methods.

Using visual interfaces and models to enhance music generation.

A new framework for creating synchronized sound effects in videos.

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.

Research advances methods for safer robot navigation using uncertainty estimation techniques.

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

New control framework improves tracking and treatment accuracy for soft laser manipulators.

Efficient wireless devices must adapt to changing conditions for better performance.

New methods aim to enhance air conditioning systems while saving energy and ensuring comfort.

A new method integrates ride-sharing with public transport for better efficiency.

New approaches in energy modeling enhance district heating system performance.

A new method to streamline airport security lines for better passenger flow.