Computer Science

A new language model enhances Turkish text understanding and generation capabilities.

Examining the role of AI chatbots in mental health assistance.

Learn how low-bit accumulators enhance DNN performance without sacrificing accuracy.

Language models enhance efficiency in discovering new molecules for drug development.

MANTRA enhances long-term forecasting with a dual learning approach for accuracy.

Study reveals language models can generate useful PET report impressions.

Access levels in AI audits influence effectiveness and risk identification.

Examining the harmful impacts of deepfake pornography and public perceptions.

A new language model enhances Turkish text understanding and generation capabilities.

A study on reducing noise in Bangla texts for better sentiment analysis.

This study examines how language structure boosts layout predictions in machines.

Language models enhance efficiency in discovering new molecules for drug development.

A comparison of ChatGPT and BERT in understanding word meaning shifts over time.

A new framework speeds up information retrieval for language models.

Exploring ways to improve sequence labeling in language models.

Study reveals language models can generate useful PET report impressions.

A deep dive into the world of CSPs and their solutions.

A look into how random choices impact querying functions and complexity measures.

A guide to quantum error correction methods, focusing on the surface code.

Examining recent improvements in communication protocols and their combinatorial implications.

Investigating soldier positioning strategies across various graph types.

This study examines decision problems in quantum graphs, connecting classical and quantum complexity.

Examines the complexity of key graph problems with specific parameters.

This research examines the efficiency of backward computation in training language models.

Exploring the latest developments in piezoelectric energy harvesting technology.

Studying adversarial impacts on automated stock trading agents in competitive markets.

A new optimization method for efficient district heating network design.

Using data analysis to identify promising startups before investment.

Graph Multi-Similarity Learning enhances drug discovery through flexible molecular relationships.

A new method improves stability in Smoothed Particle Hydrodynamics simulations of materials.

Research focuses on enhancing coiling methods to treat cerebral aneurysms safely.

Exploring the role of large language models in molecular science.

SurfaceNets improves efficiency in visualizing complex data for medical and biological applications.

Recent advancements improve speed and accuracy in measuring curve differences.

A new method enhances quadrilateral mesh generation with integrable frame fields.

This article discusses how to find the smallest round area covering points in a polygon.

A new approach for creating flexible and user-refined polycube layouts in 3D modeling.

Coresets enable efficient computation in machine learning while maintaining accuracy.

This article explores challenges and methods in visibility-based search for efficient route planning.

A new framework improves the clarity and scalability of graph visualizations.

How network structures affect opinion sharing and belief accuracy.

Examining the impact of strategic user interactions on service performance.

This study shows how AI can predict human decision-making in economic scenarios.

An overview of multi-agent learning and strategies for better cooperation.

This study offers solutions for distributing items based on shared preferences.

Strategies to enhance decision-making in cooperative environments with incomplete information.

A study on efficient task assignment while considering budgets and conflicts.

A look at how agents adapt and learn in dynamic environments.

Study reveals issues with plankton classification due to dataset shift.

A new method accelerates rendering of volumetric materials, enhancing quality and speed.

New imaging methods improve rice disease detection in Egypt.

A new framework enhances unsupervised action recognition using skeleton data.

A new method improves the accuracy of recovering human meshes from images.

New method allows spacecraft to navigate independently using celestial images.

A new framework improves continual learning for tasks combining vision and language.

NeRF technology enhances forest monitoring through advanced 3D modeling and data integration.

Examining the role of AI chatbots in mental health assistance.

This study examines harmful Twitter profiles that spread misleading information.

Access levels in AI audits influence effectiveness and risk identification.

Exploring how machine learning impacts fairness in unemployment policies.

Examining the harmful impacts of deepfake pornography and public perceptions.

A new framework aims to ensure equity in GNN predictions.

Artists share their views on generative AI and its effects on the art industry.

Study reveals bias against disabled candidates in AI hiring systems.

An overview of PRG security against classical and quantum threats.

A new modular approach improves efficiency and accuracy in identifying cyber attackers.

Learn how trading works on Uniswap and the factors that influence costs.

A new algorithm improves data analysis while protecting individual privacy.

Access levels in AI audits influence effectiveness and risk identification.

Learn how Universal Composability and other theories enhance cryptographic security.

New method enhances neural networks against adversarial attacks using set-based inputs.

Hybrid Homomorphic Encryption offers solutions for privacy in data analysis.

Learn how interactive coding enhances secure communication between parties.

A look into how random choices impact querying functions and complexity measures.

Researchers enhance read mapping efficiency using innovative algorithms and hardware.

A new algorithm enhances analysis of complex systems in business processes.

Examining how errors impact knowledge accumulation and the importance of checks.

This paper highlights methods for analyzing relationships in structures.

New protocols enhance document review fairness and privacy in legal cases.

Research explores a method to form complex shapes with simple tiles.

This study presents methods to reduce regret in billboard advertising slot allocation.

A system to streamline data collection on superconductors for improved research accuracy.

Unlocking the potential of graph databases with advanced query optimization techniques.

A new dataset reveals insights into the use of pre-trained models in software projects.

Human Digital Twins offer a digital view of individuals, enhancing healthcare and sports.

Learn how to minimize regret in billboard ad spaces.

Discover how Object Graph Programming simplifies data handling in software development.

VDMS upgrades streamline visual data processing for efficient query handling.

Enhancing knowledge bases using language models and textual entailment for accuracy.

A look into how citation models can improve understanding of research impact.

Transforming scanned documents into usable text through error correction.

Examining how publication types shape aging research in genetics.

DEAN uses deep learning to automatically identify outdated information in knowledge graphs.

New analysis reveals inaccuracies in claims about reduced innovation in scientific papers and patents.

Analyzing trends and key contributors in quantitative finance from arXiv papers.

Examining the importance of data engineering for successful AI systems.

Explore how character order affects BWT performance in data compression.

A deep dive into the world of CSPs and their solutions.

A look at transit functions and their role in clustering systems.

Study on rotation operators and their performance amidst noise and various norms.

How network structures affect opinion sharing and belief accuracy.

Discover how digraphs relate to matrix determinants and their applications.

An overview of unique graph structures and their implications.

Exploring the role of oriented hypergraphs in modeling complex chemical interactions.

A new system improves the speed of language models in various applications.

A new approach enhances satellite data processing using federated learning methods.

New methods streamline PageRank updates as networks change.

OMP GPT specializes in generating OpenMP pragmas for efficient coding in HPC.

OpenMoE showcases innovative approaches to improve language model efficiency and performance.

Exploring a new approach to enhance machine learning data privacy.

New GPU vulnerability raises security concerns for machine learning applications.

Discover how Bitcoin inscriptions are changing the landscape of digital assets.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

Exploring efficient methods to tackle complex optimization problems using tensor networks.

A guide to crafting clear and effective academic papers.

Research explores a method to form complex shapes with simple tiles.

Discover how quantum tools change music creation and performance.

A new method leveraging photonics for efficient deep learning.

A new quantum approach offers secure and efficient scalar product computation.

This article examines quantum forgery attacks on encryption schemes COPA, AES-COPA, and Marble.

New methods improve efficiency in automata learning for complex systems.

A study of deterministic Parikh automata and their role in processing infinite words.

Learn how multiparty session types facilitate clear communication in complex systems.

An overview of regular languages and how they can be combined.

New method determines separability of VASS reachability languages.

A new approach to measure responsibility in AI models using game theory.

A new method improves system design for safety-critical applications.

A look at tree transducers and their role in data transformation.

A new method accelerates rendering of volumetric materials, enhancing quality and speed.

SurfaceNets improves efficiency in visualizing complex data for medical and biological applications.

AR technology improves precision in laparoscopic liver resection.

A look at how sensor simulations boost safety in autonomous driving.

A new method simplifies creating personalized 3D avatars using everyday devices.

Exploring modern methods for realistic facial animations in digital media.

Multisource holography reduces speckle noise and improves image quality in holography.

A new method allows users to easily edit and replace objects in 3D scenes.

Learn how low-bit accumulators enhance DNN performance without sacrificing accuracy.

Researchers enhance read mapping efficiency using innovative algorithms and hardware.

Harnessing energy efficiency in industrial systems for optimal performance and sustainability.

Examining the evolving relationship between DRAM producers and consumers.

Learn how ACADL simplifies modeling for AI hardware accelerators.

Effective strategies to manage leakage errors for better quantum performance.

HEANA accelerates CNN tasks with improved speed and energy efficiency.

Exploring how MRRs are reshaping computing for deep learning tasks.

Examining the role of AI chatbots in mental health assistance.

Enhancing social media experiences by allowing users to teach algorithms their preferences.

Examining the harmful impacts of deepfake pornography and public perceptions.

Study examines how robotic coaches communicate mental well-being support.

Examining ethical challenges in conversational user interfaces for better user experiences.

An analysis of how beginners interact with AI for coding tasks.

A framework to understand our reliance on AI in decision-making.

A new approach enhances human experiences in gaming through AI collaboration.

A new framework speeds up information retrieval for language models.

The QA-RAG model improves accuracy and efficiency in pharmaceutical compliance.

Self-BioRAG enhances medical question answering with improved accuracy and relevance.

Researchers face challenges with data access in the Post-API era.

Examining the accuracy of health snippets in search engine results.

RecDCL combines techniques for better user-focused recommendations in sparse data scenarios.

Users seek clarity and transparency in search engine results.

This study presents methods to reduce regret in billboard advertising slot allocation.

This study examines methods to send data accurately amidst noise interference.

Learn how group testing can efficiently find defective items in various fields.

A look into Hume's problem with induction and the role of probability.

Learn how interactive coding enhances secure communication between parties.

A look at how to share messages effectively in complex networks.

Research highlights efficient processing for improved wireless communication using decentralized architectures.

This article discusses energy detection's role in spatial modulation systems for low-power devices.

A new method improves DOA estimation using one-bit-aided modulo sampling.

A deep dive into the world of CSPs and their solutions.

New methods aim to streamline interactive proofs in computer science, enhancing efficiency.

New method enhances neural networks against adversarial attacks using set-based inputs.

A new approach for safely analyzing program complexity through controlled data release.

Learn how session types enhance communication protocols in software development.

This article examines how causality influences choices and outcomes in decision-making.

Explore the significance of controllable graphs in mathematics and computer science.

A new ILP system improves logic program learning by focusing on key subprograms.

Learn how group testing can efficiently find defective items in various fields.

A new language model enhances Turkish text understanding and generation capabilities.

A new system reduces latency in Mixture-of-Experts models while managing memory costs.

A new system improves the speed of language models in various applications.

Study reveals issues with plankton classification due to dataset shift.

Learn how low-bit accumulators enhance DNN performance without sacrificing accuracy.

A new modular approach improves efficiency and accuracy in identifying cyber attackers.

A new method improves probability distribution movement using neural networks.

New algorithm improves analysis of complex datasets for researchers.

Learn how long memory influences predictions in various fields.

A user-friendly library for tensor simulations in physics.

A practical guide to the QuadratiK package for spherical data analysis.

A look at numerical computation and its applications in various fields.

A new framework aims to improve DSL interoperability and efficiency in HPC.

A look into Appell and Lauricella functions and their impact on scientific calculations.

CBC3D offers improved mesh generation for surgical planning and simulations.

This study presents methods to reduce regret in billboard advertising slot allocation.

This article examines how communication shapes social norms in autonomous agents.

Using liquid democracy concepts can enhance ensemble learning efficiency and accuracy.

An overview of multi-agent learning and strategies for better cooperation.

Learn how to minimize regret in billboard ad spaces.

A new method aids agents in quickly adapting to peers' behaviors.

A look at the challenges in assessing RL agents amid changing environments.

A method to improve cooperation in multi-agent systems with sparse rewards.

Discover how AI is changing video creation and streaming.

A dataset tailored for testing video quality in conferencing situations.

Researchers develop a framework for better video and text understanding.

A new method enhances audio-visual segmentation without detailed labels.

PIAVE helps machines extract voices clearly, even when speakers turn their heads.

A new system that connects music and language for better understanding.

Learn how to design posters that communicate messages clearly and attractively.

A new dataset enhances AI's ability to interpret human behavior in videos.

LEACH-RLC protocol enhances energy management in IoT networks through smart clustering.

Exploring the impact of large models on future wireless networks.

Examining the role of channel models in 5G communication for industrial settings.

This article explores new wireless technologies to improve connectivity for users.

Enhancing road safety and efficiency through improved vehicle communication systems.

This study emphasizes the importance of reliable datasets for network traffic anomaly detection.

This article introduces a method to speed up network traffic classification.

Using deep reinforcement learning for better data traffic management.

Learn how sign averaging improves optimization in noisy environments.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

GCUs connect machine learning models with biological neuron functions for improved efficiency and interpretation.

This research discusses the benefits of Evolvable Agents in distributed computing.

Learn how explainable benchmarking improves understanding of optimization algorithms.

Discover the energy-efficient world of Spiking Neural Networks and their unique learning methods.

Research highlights the importance of neuron interactions in sensory perception.

This study examines adding recurrence to Transformers for improved performance in machine learning tasks.

This article examines how rumors spread and ways to manage their impact.

A new method improves speed in solving symmetric eigenvalue problems using Riemannian techniques.

A new approach combines dynamic mode decomposition with time-dependent models for fluid dynamics.

A look into the fundamentals of motion in robotics.

Using deep learning for better basket option pricing accuracy.

A deep look at the LLBar equation and its impact on technology.

Using machine learning to classify asteroids based on their orbital movements.

Studying local conservation laws in fluid dynamics through numerical methods.

A new approach streamlines page table management in NUMA systems.

A new system enhances performance and reduces delays in medical AI applications.

LLMs are set to improve privacy and functionality on mobile devices.

Introducing a secure yet efficient method for managing private data.

A system of handles improves memory management and reduces fragmentation in unmanaged languages.

THEMIS improves fairness and efficiency in multi-tenant FPGA resource scheduling.

This review outlines a framework for AIOps in incident management.

Compartmentalization offers a way to boost security in monolithic operating systems.

A tool combining Selenium and JUnit 5 to streamline web application testing.

Examining risks and impacts of modded apps on users and developers.

Examining the links between living brains and computer 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.

A new system reduces latency in Mixture-of-Experts models while managing memory costs.

This paper analyzes the behavior of deadline misses in soft real-time systems.

New methods streamline PageRank updates as networks change.

A closer look at the performance and challenges of large language models in practice.

Unlocking the potential of graph databases with advanced query optimization techniques.

A comprehensive assessment of DEVS simulation engines using the DEVStone benchmark.

A novel communication model to boost IoT device connectivity and efficiency.

Strategies to handle resource allocation in evolving communication systems.

Learn how Universal Composability and other theories enhance cryptographic security.

Learn how static analysis tools like C Analyzer improve software reliability.

This method enhances coding accuracy through reusable function learning and refactoring.

A new model supports efficient communication in choreographic programming.

Combining LLMs and formal verification to improve programming accuracy and efficiency.

A new framework for understanding cost in probabilistic functional programming.

A new graph structure enhances compiler efficiency in parallel programming.

A look at adjoint logic and its applications in programming and computation.

Study examines how robotic coaches communicate mental well-being support.

A new drone system improves safety in power line inspections.

Neuromorphic chips enhance robotic decision-making, optimizing speed and energy efficiency.

This paper presents an innovative method for managing automated vehicle speeds in heavy traffic.

A look at how sensor simulations boost safety in autonomous driving.

Robots trained with visual input can safely unload parcels without extensive labeled data.

The Print-N-Grip hand offers a low-cost solution for handling hazardous materials.

A new method helps robots learn effective jumping techniques.

GraphTempo helps study changes in graphs over time, enhancing analysis efficiency.

Learn how to analyze evolving graphs for key historical events.

Researchers aim to detect and prevent AI-generated fake news through style analysis.

Researchers face challenges with data access in the Post-API era.

This article examines how rumors spread and ways to manage their impact.

Analyzing how tweets are used in news articles across reliable and fringe media.

Enhancing road safety and efficiency through improved vehicle communication systems.

Examining how errors impact knowledge accumulation and the importance of checks.

A new modular approach improves efficiency and accuracy in identifying cyber attackers.

A study on improving automated tools for code simplification in software development.

A new method combines AI and static analysis for better code suggestions.

OMP GPT specializes in generating OpenMP pragmas for efficient coding in HPC.

A study on the impact of LLMs in university software engineering courses.

A new algorithm enhances analysis of complex systems in business processes.

Instiller improves CPU fuzz testing with efficient techniques and better bug detection.

MobFuzz enhances fuzz testing with multi-objective optimization for better software security.

A new approach improves sound estimation in spaces with scattering objects.

Examines how undecidability influences music composition and production today.

This article explores advancements in speaker diarization using language models for better accuracy.

This study improves ASR systems' ability to recognize children's speech.

Researchers explore audio sensing technology for improved pedestrian detection in urban areas.

New method enhances sound source localization and field separation.

A new method improves drum sound synthesis by focusing on sharp transient elements.

Researchers are developing synthetic voice data to protect privacy in voice recognition.

Ensuring ethical behavior and transparency in intelligent agents is crucial for trust.

FEX offers a novel approach to understanding complex network dynamics from limited data.

A deep dive into the role of symmetric functions over finite fields.

Investigating new methods to enhance pseudorandom generators for better algorithm efficiency.

A look into how we determine parameter values in differential equations.

Learn how to make parameters identifiable in ODE models.

A look into the role of quantum circuits in computing and future prospects.

Explore the unique properties and applications of elliptic surfaces in mathematics.

Efficiently managing power generation with constraint screening and machine learning.

Exploring the risks of supply chain attacks in updated power infrastructure.

Exploring the potential of THz technology for faster data transmission.

A new drone system improves safety in power line inspections.

Exploring solutions for data-driven applications in distributed systems.

A look into how distributed optimization tackles large data challenges.

Deep Kernel Learning enhances control systems, ensuring safety and reliability amidst complexity.

A new method enhances Model Predictive Control for faster decision-making.