Computer Science

A new method improves example selection and instruction optimization for large language models.

An overview of ad targeting and organic retrieval algorithms in digital marketing.

New AI tool aids in diagnosing Basal Cell Carcinoma with clear explanations.

A new benchmark for machine unlearning enhances evaluation and comparison of methods.

Improving patient group identification through innovative Automatic Cohort Retrieval systems.

A study on how AI comprehends algorithms and their implications.

This article explores how adversaries impact teamwork among language models.

Examining how LLMs exhibit personality traits through new testing methods.

Exploring the role of AI in improving access to justice through legal reasoning.

A new method improves example selection and instruction optimization for large language models.

Research explores how speech analysis can predict suicide risk, considering gender differences.

This study investigates the effectiveness of FActScore in multiple languages.

A look at controlling language model behavior with the KL-then-steer technique.

PE-Rank improves passage ranking efficiency with single passage embeddings.

Strategies to manage performance issues during continual pre-training of large language models.

How fine-tuning affects language models' ability to recall facts accurately.

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

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.

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.

New method improves breast cancer diagnosis by analyzing multiple key factors simultaneously.

A new dataset aims to improve the safety of text-to-image models against harmful content.

New AI tool aids in diagnosing Basal Cell Carcinoma with clear explanations.

This study reveals the limits of text-to-image models in handling numbers.

A new method improves image generation without paired datasets.

A new system helps robots learn tasks using audio from real-life demonstrations.

Stylebreeder enables users to generate and personalize art with text prompts.

A new method for enhancing machine learning through suboptimal examples and human feedback.

A discussion on improving personalized scheduling for high school students.

Understanding risk thresholds in advanced AI for public safety and security.

Study shows larger models don’t guarantee better persuasive messages.

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.

A new dataset aims to improve the safety of text-to-image models against harmful content.

A new method reduces privacy risks in retrieval-augmented generation applications.

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.

A look into techniques for estimating cuts in directed graphs.

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.

Aurora improves query rewriting using Equality Saturation and Reinforcement Learning.

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.

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.

A system that optimizes machine learning predictions through model cascades.

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.

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.

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.

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.

Study shows larger models don’t guarantee better persuasive messages.

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.

An overview of ad targeting and organic retrieval algorithms in digital marketing.

PE-Rank improves passage ranking efficiency with single passage embeddings.

New AI tool aids in diagnosing Basal Cell Carcinoma with clear explanations.

Discover how companies enhance their question-answering systems for better user support.

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.

Improving communication efficiency in distributed computing systems is key to better performance.

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

How optical anchors enhance user localization in 6G wireless networks.

A detailed look at Sibson's -mutual information and its multifaceted applications.

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.

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.

Automating proxy variable selection improves causal effect estimation in observational studies.

A new method improves example selection and instruction optimization for large language models.

Aurora improves query rewriting using Equality Saturation and Reinforcement Learning.

Research explores how speech analysis can predict suicide risk, considering gender differences.

A look at controlling language model behavior with the KL-then-steer technique.

A new approach in federated learning captures data dependencies while ensuring privacy.

New AI tool aids in diagnosing Basal Cell Carcinoma with clear explanations.

Researchers combine data techniques to model complex systems effectively.

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.

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

This article explores how adversaries impact teamwork among language models.

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.

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.

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.

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.

A look at how patch dynamics improves multiscale modelling techniques.

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.

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.

New strategies aim to improve CAV safety and efficiency in lane-free environments.

A new system tracks moving targets while avoiding obstacles in complex spaces.

Robots are improving their ability to adapt to tasks in various environments.

A new system helps robots learn tasks using audio from real-life demonstrations.

GAP9Shield enhances nano-drones for various applications in multiple industries.

A new simulator enhances robot training through realistic video generation.

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 deep dive into the political leanings of podcasts on Rumble and YouTube.

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.

Evaluating the reliability of comments produced by language models in software code.

A new method improves code generation accuracy using external documents.

A new approach to create APIs from AAS specifications efficiently.

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.

Research explores how speech analysis can predict suicide risk, considering gender differences.

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

A new system helps robots learn tasks using audio from real-life demonstrations.

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 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.

New strategies enhance DBMC for faster agreement in networks.

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.