Computer Science

A new model offers better clarity and efficiency in filling knowledge graph gaps.

Understanding how transformers process information sheds light on memory recall challenges.

Introducing a modular library for easy decision-making using diffusion models.

SeMOPO improves learning from low-quality data by separating useful information from noise.

Exploring how cognitive neuroscience can improve AI model comprehension.

Exploring the role of AI in optimizing quantum circuits for better performance.

MMScan enhances AI’s ability to comprehend complex 3D environments with extensive annotations.

A new method enhances fault detection in bearings using data-driven techniques.

Understanding how transformers process information sheds light on memory recall challenges.

A new framework enhances reasoning in language models through visual sketches.

This framework improves predictions for language models, especially in low-resource settings.

A new method improves translating mixed-language speech into English.

A new method uses natural language explanations to improve entity matching.

A new engine enhances access to Khmer language documents and improves search results.

Learn how preference feedback shapes better language model outputs.

A study on neuron activation across languages and tasks in multilingual models.

A look into how probability and causal reasoning shape our understanding and decisions.

This paper analyzes multi-index models and their role in learning from data.

Learn how streaming algorithms improve data counting and memory efficiency.

A look at how string machines help process information in simpler ways.

Ising machines aim for efficient solutions to complex problems with low energy use.

New research reveals efficient proof systems in bounded quantum storage environments.

Research showcases concatenated codes aimed at the Gilbert-Varshamov bound.

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

This study focuses on refining models to simulate neuronal growth using Bayesian methods.

Dreamweaver enhances integrated circuit floorplanning using machine learning techniques.

Analyzing social media stories and their effects on economic trends.

A look at machine learning's role in fiber reinforced composite performance.

A new method improves predictions of asset relationships for better investment strategies.

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 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.

Examining the complexities of distributing indivisible items fairly and efficiently.

This article examines methods for assessing text quality in peer grading.

Explore how causal games model decision-making among agents.

A study on robust strategies in Markov games under uncertainty.

A look at Alternating Mirror Descent and its impact on two-player zero-sum games.

Learn how to allocate houses fairly while addressing feelings of envy among individuals.

A look into how learning algorithms act in competitive two-player games.

This article explores prediction accuracy in zero-sum games and player behavior.

New dataset enhances robots' grasping skills using natural language commands.

SeMOPO improves learning from low-quality data by separating useful information from noise.

Exploring privacy threats in image processing using diffusion models and leaked gradients.

A new model enhances video comprehension by merging image and video encoders.

A new perspective on improving image creation through score distillation sampling.

A shift from patches to pixels in computer vision is changing image analysis.

Customizing generative models to reflect unique identities through weight space.

This study presents a new method for identifying key training images in AI-generated visuals.

Evaluating risks of biased outcomes in robots using language models.

This study highlights bias in language models responding to different English dialects.

The impact of AI and social media on learning and student engagement.

Discover how automated methods enhance the identification of valuable datasets from government portals.

USSD technology aids women in Ghana to access mental health resources.

Integrating historical perspectives enhances student learning in ICT for a sustainable future.

This report highlights gaps in teaching digital accessibility in Indian computer science programs.

JobFair framework identifies gender bias in automated resume evaluations.

Exploring privacy threats in image processing using diffusion models and leaked gradients.

Analyzing data privacy through Bayesian inference with constraints.

Exploring methods to protect personal images from AI misuse.

This article discusses a new method to improve robustness against adversarial attacks in image classification.

Examining security risks in mmWave networks utilizing simultaneous wireless information and power transfer.

A study on improving model extraction techniques for deep learning security.

A new approach to enhance homomorphic encryption processing speeds.

This paper introduces a framework to evaluate vulnerabilities in large language models.

A new optimizer enhances efficiency in running deep neural networks on GPUs.

A new approach for clustering items in changing data streams efficiently.

A study on robust strategies in Markov games under uncertainty.

Learn how to update strongly connected components in dynamic planar graphs.

Discover how quantum-inspired methods improve k-means clustering efficiency.

Explore innovative methods for optimal seating arrangements based on guest preferences.

New methods for certifying anti-concentration in data distributions enhance machine learning applications.

Quantum methods offer faster ways to find eigenvectors, enhancing data analysis and optimization.

DLHT offers a powerful solution for efficient data storage and retrieval.

ROSfs transforms data sharing among robots for enhanced teamwork.

Examining the capabilities of LLMs compared to traditional taxonomies.

Exploring methods to create structured tables using large language models.

A new approach to improve process modeling by analyzing event logs.

A new system allows data scientists to easily revert session states.

Examining the advancements in GPU database technology and their performance.

Aurora improves query rewriting using Equality Saturation and Reinforcement Learning.

Discover how automated methods enhance the identification of valuable datasets from government portals.

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.

Using finite automata to compute digits of irrational numbers like the golden ratio.

Investigating the relationship between symmetry and bit sequences in cryptography.

This article explores -DAG-width and its applications in directed graphs.

Explore the basics and significance of error-correcting codes in data transmission.

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.

A new method improves energy use and performance in DNN execution.

The ATLAS Google Project examines cloud resources for data analysis in particle physics.

A new method enhances processing of long texts in language models efficiently.

A new approach to enhance homomorphic encryption processing speeds.

Discussing methods to improve data management in training large AI models.

A new method enhances the efficiency of saving model states during training.

CORTEX leverages supercomputing to enhance brain simulation and understanding.

HiFGL framework addresses challenges in privacy-focused collaborative learning.

A method to track elephants and reduce human-elephant conflicts using seismic signals.

Microbial fuel cells can provide clean energy solutions in agriculture.

ReCA combines simple rules and systems for efficient problem-solving.

Exploring quantum databases and their potential for data efficiency and speed.

Exploring quantum computing's role in improving multi-agent learning efficiency.

A plan to bolster the electricity grid's resilience and reliability amid emerging digital risks.

Learn how RIS technology improves wireless communication in challenging environments.

Exploring quantum methods for efficient biclustering in complex datasets.

Using finite automata to compute digits of irrational numbers like the golden ratio.

A look at how string machines help process information in simpler ways.

Discover the role and potential of reversible two-way transducers in data transformation.

Explore how to measure bandwidth in meager timed automata models.

Explore the complexities of counting in indexed languages and the role of slices.

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.

A new perspective on improving image creation through score distillation sampling.

Customizing generative models to reflect unique identities through weight space.

A new method enhances image exploration across varying scales.

Exploring difficulties in counting objects in text-generated images.

Create realistic views from a single moving video with D-NPC technology.

This study examines how gestures affect learning from virtual agents.

A detailed look at a dataset capturing everyday human activities.

A new method improves efficiency and quality in large scene rendering using 3D Gaussians.

A method to track elephants and reduce human-elephant conflicts using seismic signals.

A new method improves energy use and performance in DNN execution.

Tender offers a novel solution for efficient use of large language models.

A new method improves efficiency in quantum circuit design.

ROVER simplifies RTL design by automating complex optimization processes.

Falcon and DST improve speed and efficiency in vector search systems.

A new system uses DRAM caching to enhance memory access efficiency for cloud applications.

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

Individuals in China are modifying assistive technology to meet their unique needs.

Social robots assist children with autism in developing crucial skills like communication.

This study examines how gestures affect learning from virtual agents.

A new dataset generates real-time action suggestions for egocentric video viewers.

Learn how TextileBot helps users understand sustainable textiles.

This paper investigates the False Consensus Effect in large language models.

This article examines the evaluation of AI assistants and proposes methods for improvement.

USSD technology aids women in Ghana to access mental health resources.

A new engine enhances access to Khmer language documents and improves search results.

Softmax-DPO introduces negative samples for better user preference alignment in recommendations.

A new method improves image retrieval efficiency using text samples.

Introducing a fast and efficient system for retrieving CAD parts using graph neural networks.

Investigating abnormal behaviors in space life support systems using advanced methods.

A dataset designed to improve access to corporate climate disclosures.

MMBee improves gift predictions for streamers through multi-modal data analysis.

Discover how DELRec improves your entertainment choices using advanced technology.

Analyzing how different numeric systems impact real number representation.

Minimizing skip costs in node recovery for enhanced data reliability.

A look into efficient methods for estimating quantum state properties.

Examining Two-Step Random Access and its future in 6G networks.

A look into lossy compression and its role in data processing for machine learning.

New methods combine linear block codes and neural networks for better data transmission.

A study on the impact of phase noise in MIMO channels with electro-optic systems.

A method to learn low-dimensional dynamics from noisy high-dimensional observations.

A look into how probability and causal reasoning shape our understanding and decisions.

Discover how deloopings simplify group representations in homotopy type theory.

Exploring the dynamics of modal logic through various frameworks and semantics.

Introducing RDF Surfaces to convey negation alongside positive information effectively.

Explores improved querying techniques for efficient data management through XPath.

New strategy for conformance checking using fuzzy logs improves process analysis.

This article examines the links between two mathematical areas to enhance understanding.

New approaches improve the resilience of RL controllers in uncertain environments.

This study focuses on hidden symmetries in high-dimensional linear bandits.

A new model offers better clarity and efficiency in filling knowledge graph gaps.

Introducing a modular library for easy decision-making using diffusion models.

A new optimizer enhances efficiency in running deep neural networks on GPUs.

A new perspective on improving image creation through score distillation sampling.

A shift from patches to pixels in computer vision is changing image analysis.

New techniques improve the search for Earth-like planets by tackling stellar noise.

Exploring how cognitive neuroscience can improve AI model comprehension.

Revolutionizing the way we solve optimization challenges in multiple fields.

A computer program simulating fluid movement in porous materials for various research fields.

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.

Explore how causal games model decision-making among agents.

A new algorithm enhances computer learning in competitive games.

Exploring quantum computing's role in improving multi-agent learning efficiency.

TreeInstruct guides students in debugging through effective questioning methods.

Addressing power distribution for robust cooperative systems.

New methods improve communication and accuracy in decentralized learning systems.

Air taxis could transform urban transport by avoiding road traffic and offering quick rides.

This article explores how adversaries impact teamwork among language models.

New method improves colonoscopy video analysis for polyp detection.

A method to enhance the identification of fake news using social media interactions.

VCEval offers an automated way to assess online course effectiveness.

A multimodal approach improves how highlight moments are identified in live streams.

This paper presents a system to create visuals that respond to music.

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.

A framework for improving accuracy in network measurement while managing resource use.

AI enhances network connections for smart devices in the 6G era.

Xeoverse accelerates LEO satellite network research with real-time simulations.

Tracemax offers improved packet tracing for better DDoS attack defense.

A look at efficient resource allocation in quantum networks and the role of EGS.

Cybersecurity evolves with zero-trust networking to combat rising threats.

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

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

Learn about CGP, its function, advantages, applications, and challenges in programming.

A look at how AI systems can adapt and learn like living organisms.

This article explores using AI to improve multi-objective optimization processes.

ReCA combines simple rules and systems for efficient problem-solving.

Exploring the synergy between federated learning and swarm intelligence for improved AI.

Meta-learning improves AI by using past experiences for faster learning.

A new dataset generates real-time action suggestions for egocentric video viewers.

This study examines the integration of LLMs in evolutionary algorithms for optimization.

New normalization methods improve spatial data predictions and analysis efficiency.

Discover how the truncation method enhances numerical differentiation across various fields.

An overview of Material Point Methods and their applications in studying materials.

A look into design optimization in engineering focusing on pressure and contact challenges.

Explores the significance and applications of the stochastic Allen-Cahn equation in materials science.

Combining neural networks and traditional techniques to predict fluid behavior.

A look at Alternating Mirror Descent and its impact on two-player zero-sum games.

Homotopy methods improve shape optimization by connecting complex problems to simpler ones.

ROSfs transforms data sharing among robots for enhanced teamwork.

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.

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.

This research examines how variable arrival and service rates affect queues.

Addressing the cold start problem with new profiling techniques for better app performance.

A look at efficient resource allocation in quantum networks and the role of EGS.

Techniques to speed up checkpoint creation for deep learning models.

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.

A dual-language approach enhances correctness while maintaining speed in programming.

A new type system enhances rounding error analysis for numerical calculations.

Explore how model order enhances diagram layouts and captures user intent.

This article explores methods to calculate ground state energy using quantum programming.

APPL streamlines development with large language models using an intuitive, Python-like syntax.

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.

Introducing a modular library for easy decision-making using diffusion models.

MMScan enhances AI’s ability to comprehend complex 3D environments with extensive annotations.

A method enabling body movement control of robots is aiding those with disabilities.

A new model enables robots to learn tasks better using visual and language inputs.

Robots learn to adapt through vision and imitation techniques, improving usability.

Introducing an efficient algorithm for reinforcement learning with deterministic dynamics.

Evaluating risks of biased outcomes in robots using language models.

A new method enables agents to learn effectively from observations without direct action data.

Combining insights on decision-making and social networks to promote behavior change.

New model enhances the study of changing relationships over time.

Explore the structure and applications of IOD Graphs in various fields.

A method to enhance the identification of fake news using social media interactions.

MMBee improves gift predictions for streamers through multi-modal data analysis.

A novel method improves mental health predictions by analyzing social media posts over time.

A new benchmark addresses biases in link prediction evaluations for better real-world applications.

A new approach to finding dense subnetworks based on temporal motifs.

AlabOS streamlines workflows for automated labs, improving efficiency in materials research.

Large language models improve differential testing in software development.

Explore how AI is transforming software engineering practices and roles.

Study explores static analysis to enhance repository-level code completion.

This study evaluates how LLMs can enhance mutation testing in software development.

Examining the impact of deprecated APIs on LLM code suggestions.

Exploring how GenAI influences software engineering practices and what remains unchanged.

A system using Agile principles to enhance software development efficiency and collaboration.

New methods enhance speech recognition in noisy environments using adaptive techniques.

SPEAR predicts sound behavior in 3D spaces using minimal data collection.

A new method improves translating mixed-language speech into English.

A new method enhances speaker verification accuracy in challenging radio environments.

New method targets rhythm changes for stealthy speech attacks.

GAMA improves audio processing by merging sound and language insights.

GigaSpeech 2 offers a vast dataset for low-resource languages to improve speech recognition.

A new model enhances text-to-speech technology with efficiency and adaptability.

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.

This article discusses how interacting particle systems enhance reinforcement learning strategies.

A new approach enhances safety in systems with uncertainties using reachability analysis.