Computer Science

Examining the rise of LLMs and the advancement to MM-LLMs.

Introducing a method to enhance learning in machine learning models while preserving important features.

MANGO benchmark tests language models for navigation and mapping in maze contexts.

Learn how decision trees aid in data-driven decisions and predictions.

Examining how information shapes decision-making in complex situations.

A new method to verify deep neural networks using vision-language models.

A study on the explainability of machine learning models for pancreatic cancer care.

Research focuses on improving language models for better healthcare performance.

An overview of communication protocols in distributed systems focusing on Wait-Only Non-Blocking Broadcast Protocols.

Examining the rise of LLMs and the advancement to MM-LLMs.

MANGO benchmark tests language models for navigation and mapping in maze contexts.

A new dataset improves assessment of molecular knowledge in language models.

A new method to verify deep neural networks using vision-language models.

This study investigates how language models grasp uncommon grammar structures.

Research focuses on improving language models for better healthcare performance.

GOLD offers a framework for generating diverse training data for small language models.

Exploring Dense-Sparse LPN and its potential in cryptographic security.

Examining the challenges of sampling from Hamming weight distributions.

Examining the complexities of learning Boolean functions with averaged labels.

Examining the challenges of locating kings in directed graphs.

Exploring methods for correcting errors in linear functions over Boolean cubes.

Analyzing the efficiency and potential of quantum-inspired algorithms in classical computing.

New method uses a Rydberg atom for fast integer programming solutions.

A look into average hereditary graphs and their significance in graph theory.

A system to classify short banking texts enhances personal finance management.

Examining Stackelberg games and pricing strategies in supply chains.

New methods enhance predictions of complex systems using data-driven reduced-order models.

Learn how data and design improve energy efficiency in maritime transport.

This article discusses how MBDRL optimizes flow control with efficiency and reduced costs.

A fresh model improves understanding of how fibers stick and pull apart.

Hyperdrive streamlines trading of fixed and variable rate financial products.

New techniques enhance language models for finance using Adaptive Semantic Space Learning.

A new method enhances the stitching of Bezier patches for better surface modeling.

VecKM improves local geometry encoding for point clouds, enhancing efficiency and robustness.

A look into the strategies of cops and robbers on different surfaces.

Methods for quickly measuring similarity between complex curves.

A look into the significance and applications of nearly orthogonal sets of vectors.

Learn how researchers tackle the geometric knapsack problem with various shapes to maximize efficiency.

MidSurfer simplifies mid-surface extraction for biological research, enhancing data analysis.

A look at spanners and their role in efficient graph connections.

Rationality ratio aids agents in making better strategic decisions.

Learn to win by understanding your opponent's biases.

Explore how players handle uncertainty in strategic decision-making games.

A look at equitable resource sharing strategies in gaming and real-life scenarios.

A method to maximize profits while considering price and advertising costs across markets.

A look into mean-field games and their role in multiagent systems.

Examining how agents and principals share information on performance metrics.

Analyzing power indices in decision-making groups through voting structures.

Automated solutions for identifying brain tumors show promise in improving patient care.

SEMA offers a flexible approach for continual learning, adapting models to new data effectively.

A new method improves visual data processing efficiency and accuracy.

A new method improves camera localization accuracy while preserving user privacy.

Introducing DeNetDM, a technique to reduce biases in neural networks without complex adjustments.

A new method to verify deep neural networks using vision-language models.

X-MIC framework enhances models for recognizing actions in first-person videos.

Monitor your hydration with a smartphone camera, quick and easy.

This study explores using behavior analysis with machine learning to enhance online learning outcomes.

WhatsApp Explorer helps researchers ethically collect data while ensuring user privacy.

Exploring the relationship between humans and technology in our daily lives.

Study showcases machine learning's role in improving breast cancer detection through enhanced recall.

Exploring how employee exits disrupt communication and relationships within organizations.

Research investigates gender bias by evaluating statistical and causal fairness in NLP models.

Exploring copyright issues presented by generative AI and methods for protection.

This article discusses robust accurate fairness in deep learning and its effects.

Exploring Dense-Sparse LPN and its potential in cryptographic security.

A model predicts cyber attack vulnerability based on social and economic factors.

Learn about key vulnerabilities in smart contracts and how to protect against them.

Examining the shortest vector problem's relevance in modern security and quantum computing.

An analysis of the API's effectiveness in balancing user privacy and advertising needs.

Learn about the threats and strategies related to cloud resource hijacking.

Exploring the intersection of blockchain and federated learning for data privacy and security.

Diverse samples enhance the effectiveness of machine learning model theft.

New strategies enhance speed for solving the Traveling Salesman Problem.

Learn how decision trees aid in data-driven decisions and predictions.

Examining the challenges of sampling from Hamming weight distributions.

Examining the complexities of learning Boolean functions with averaged labels.

Strategies to enhance efficiency in data sharing across multiple servers.

A look at how to learn polynomials despite data corruption.

PCA reduces data complexity while retaining important information across various fields.

Examining sampling methods to improve clustering efficiency and accuracy.

Data cleaning ensures reliable information for informed choices across various industries.

This article discusses the need for better benchmarking in graph processing research.

A framework to extract meaningful patterns from uncertain and noisy datasets.

A look at performance issues in Hyperledger Fabric and Quorum.

Key insights on improving transaction processing in online systems.

Synthetic data enables companies to share insights while protecting sensitive information.

Explore how automated tools assist learners in writing SQL queries effectively.

New algorithms ensure fairness and diversity in data selection.

Examining the rise of scientific misconduct and its impact on research quality.

A new framework aiding research in the complex art market.

A new score measures publication impact by balancing citations and publication age.

Enhancing dataset descriptions for better compliance and usability.

A look at shared knowledge and its role in society.

Researchers develop new ways to analyze web data from Common Crawl archives.

A practical approach to improve data handling in cultural heritage through CHAD-AP.

This study uses computational methods to analyze running titles in historical texts.

A look into how Boolean networks model complex systems and their dynamic behaviors.

This study reveals robust tilesets make the domino problem decidable.

Exploring role assignments in graphs and their applications in various fields.

This article explores how q-deformed coefficients enhance our understanding of word patterns.

Explore the role of bent and negabent functions in secure data transmission.

Exploring the new -deformations in Parikh matrices and their implications in combinatorial studies.

A look into average hereditary graphs and their significance in graph theory.

A look into how tangles assist in data grouping and analysis.

Exploring the intersection of blockchain and federated learning for data privacy and security.

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

FedD2S enhances Federated Learning by personalizing models while preserving data privacy.

A framework for training machine learning models while protecting privacy.

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

A system that optimizes calculations for sparse matrices using blocked storage.

This paper discusses DAOS's potential to enhance weather prediction data management.

Research focuses on optimizing transformers for small devices with limited resources.

Exploring how quantum technology can enhance machine learning tasks.

Research shows simpler reservoirs enhance accuracy in chaotic time series forecasting.

New device enhances light-based computing for AI tasks.

New course combines quantum and classical computing for future readiness.

Examining the growth of Femtech and the associated privacy concerns.

A new AI approach aims to improve image and video generation speed and efficiency.

Discover how neuromorphic computing improves communication in microgrids.

A deep dive into Decentraland's land trading dynamics and dataset.

This article discusses how data-driven methods improve control systems through simplified models.

A new method for robot planning improves adaptability in changing environments.

This article explores how q-deformed coefficients enhance our understanding of word patterns.

Exploring the new -deformations in Parikh matrices and their implications in combinatorial studies.

A new method automates analysis of probabilistic program outputs.

A study on implicit automata and affine logic for string transformation.

A deep dive into timed automata and their learning processes.

Exploring profinite trees' role in understanding regular languages.

A new method enhances the stitching of Bezier patches for better surface modeling.

A novel approach improves high-resolution holography processing and memory usage.

A method that combines language and physical properties for dynamic 3D scene creation.

This article outlines a method for making digital twins of moving objects.

Revolutionize how we visualize and analyze categorical data through similarity patterns.

A new method enhances text-to-image models for better identity representation.

This method improves 3D scene quality using camera and sonar data.

MidSurfer simplifies mid-surface extraction for biological research, enhancing data analysis.

New model improves circuit design prediction through directed hypergraphs.

A new design improves spiking neural networks for flexible research.

Analyzing hardware and software for efficient quantum computing solutions.

A new lightweight model improves target recognition in synthetic aperture radar images.

Introducing a new programming model for efficient hardware accelerator development.

A new AI approach aims to improve image and video generation speed and efficiency.

Exploring the design and benefits of a PMU for RISC-V processors used in space.

WaSP optimizes GPU scheduling for better graphics performance in mobile devices.

This article examines the ethical concerns of using LLMs in research.

A chatbot helps elderly users feel connected and less lonely through engaging conversations.

Exploring the relationship between humans and technology in our daily lives.

A new method enhances the stitching of Bezier patches for better surface modeling.

Examining how communication patterns indicate levels of psychological safety in teams.

Companies are adopting meeting-free weeks to boost worker focus and productivity.

Integrating street-view images into driving routes enhances user experience.

Explore how street view imagery aids urban planners in creating better cities.

Research shows multiple queries enhance systems for better information retrieval.

A system to classify short banking texts enhances personal finance management.

Using shallow Cross-Encoders can improve speed and accuracy in search systems.

A new approach to enhance recommendations while keeping user data private.

A look into dense and generative retrieval techniques and their impact.

A new dataset improves retrieval of prior cases for legal professionals.

Leveraging NLP to efficiently extract information from lengthy legal judgments.

Automated systems streamline data collection from scientific literature in chemistry.

Exploring Dense-Sparse LPN and its potential in cryptographic security.

A fresh system to rank cycling teams based on rider placements.

Improving signal transmission for accurate event detection through sensor collaboration.

Discussing the benefits and challenges of using DNA for data storage.

Examining the integration of sensing and communication for future technologies.

Explore techniques enhancing full-duplex communication in mmWave MIMO systems.

A look into Hopfield networks for pattern recognition and memory storage.

A deep dive into methods for estimating the mean of probability distributions.

A new method reduces complexity in understanding smash products in HoTT.

An overview of communication protocols in distributed systems focusing on Wait-Only Non-Blocking Broadcast Protocols.

A new method to verify deep neural networks using vision-language models.

Examining interpolation algorithms and their effectiveness in connecting logical statements.

This study reveals robust tilesets make the domino problem decidable.

Explore how players handle uncertainty in strategic decision-making games.

This work presents a systematic framework for analyzing machine learning algorithms.

Discover how Homotopy Type Theory transforms our view of sets and types.

Automated solutions for identifying brain tumors show promise in improving patient care.

This study explores using behavior analysis with machine learning to enhance online learning outcomes.

SEMA offers a flexible approach for continual learning, adapting models to new data effectively.

A model predicts cyber attack vulnerability based on social and economic factors.

A new approach to make high-dimensional data easier to manage.

MANGO benchmark tests language models for navigation and mapping in maze contexts.

A new method uses deep learning to tackle stochastic differential equations effectively.

Learn how decision trees aid in data-driven decisions and predictions.

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.

GeoFlood helps predict water spread during floods, improving safety and preparedness.

SUGAR simplifies geometric algebra for engineers and mathematicians using Matlab.

Learn how Python aids in minimizing energy in complex systems.

A tool to generate and analyze synthetic sparse tensors in various fields.

Discover how LaSDI transforms complex simulations into efficient models.

An overview of communication protocols in distributed systems focusing on Wait-Only Non-Blocking Broadcast Protocols.

A new method improves self-driving car training through human-like interaction.

Examining Stackelberg games and pricing strategies in supply chains.

A look at integrating machine learning and heuristic search for better agent coordination.

UniV2X enhances autonomous driving through vehicle-infrastructure collaboration.

A look into mean-field games and their role in multiagent systems.

A novel approach allows agents to optimize collaboratively with minimal data sharing.

Study of teamwork among agents with unique coordination challenges.

A new way to animate portraits with changing expressions and angles.

New method enhances 3D data compression while maintaining quality.

CIRP enhances item representation for better online product bundling.

Exploring how IoS could transform our digital experiences by engaging all senses.

DIBS enhances video event captioning by refining boundaries using unlabeled data.

Combining images and text improves accuracy in 3D depth estimation.

WebXR transforms how we engage with immersive digital environments.

New method enhances speech synthesis for individuals who cannot speak.

Learn about the threats and strategies related to cloud resource hijacking.

A method to classify modulation in modern wireless communication systems.

A look at innovative methods in cybersecurity using cyber deception.

Discover how DSL enhances IoT device collaboration and learning efficiency.

Examining how electric cars impact access to services during power outages.

Exploring how IRL enhances network performance through expert behavior learning.

Drones improve efficiency and safety through advanced communication protocols in swarms.

Learn how RIS can enhance network performance in challenging environments.

KAT allows robots to learn tasks quickly with fewer examples.

Assembly programming meets competition as survivors battle in CodeGuru Xtreme.

NYCTALE improves lung nodule assessment through advanced analysis of CT scans.

New memristive devices mimic brain functions, boosting AI learning efficiency.

A look into how agents adapt their learning for food gathering.

A look into how matter is distributed in the universe through symbolic approximations.

SpikExplorer simplifies the design of energy-efficient Spiking Neural Networks for portable devices.

PNCs merge neural networks and probabilistic circuits for better prediction and modeling.

A fresh approach to recovering signals impacted by saturation in various fields.

A new approach to make high-dimensional data easier to manage.

A new method uses deep learning to tackle stochastic differential equations effectively.

A new method enhances learning by addressing varying data scales.

A new method to tackle large-scale trace ratio issues in classification tasks.

This article explores better ways to estimate errors in numerical methods for equations describing substance spread.

Improving atmospheric predictions through innovative modeling techniques.

An integrated approach to study phase transitions with uncertainties and injection boundaries.

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 new method to reduce data center memory costs effectively.

A new system improves function scheduling and resource management in serverless computing.

Berrify strengthens BPF security against Spectre vulnerabilities without sacrificing performance.

A new approach to caching offers better performance in dynamic environments.

A new technique for dynamic memory allocation improves efficiency in large language models.

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 look at innovative methods in cybersecurity using cyber deception.

Key insights on improving transaction processing in online systems.

A system that optimizes calculations for sparse matrices using blocked storage.

Research focuses on optimizing transformers for small devices with limited resources.

Analyzing hardware and software for efficient quantum computing solutions.

Examining how customers choose between serving stations and its impact.

Explore performance modeling to enhance efficiency in multi-GPU machine learning training.

LLAMP assesses network latency tolerance for high-performance computing applications effectively.

A new method enhances program compilation, producing smaller output files using past data.

Discover the importance of cost-sensitive programming in optimizing resource management.

Analyzing termination issues in nondeterministic quantum programs using mathematical techniques.

A method to automatically verify data structures against representation invariants using advanced techniques.

Learn how LLMs can help make C programming safer and more efficient.

A new model improves the analysis of WebAssembly code through mixed data understanding.

A new method improves trust in automated program verification.

A new method automates analysis of probabilistic program outputs.

Robots learn complex tasks by imitating human actions, enhancing their adaptability.

MANGO benchmark tests language models for navigation and mapping in maze contexts.

This study emphasizes the importance of target variables in vehicle behavior modeling.

A new method improves depth measurement of see-through items using segmentation and NeRF.

KAT allows robots to learn tasks quickly with fewer examples.

Introduction to GlORIE-SLAM, a new RGB-only SLAM system.

Exploring how Lamarckian inheritance can enhance robot adaptability in various environments.

A new approach improves accuracy in aligning 3D scene graphs for spatial tasks.

Examining the link between TV news shows and online political discussions.

WhatsApp Explorer helps researchers ethically collect data while ensuring user privacy.

Exploring the relationship between humans and technology in our daily lives.

A deep dive into multilayer networks and their real-world applications.

A new system for identifying and classifying online conspiracy theories.

Exploring how employee exits disrupt communication and relationships within organizations.

A new method quantifies sexism and toxicity in digital discussions.

Study examines the effects of defederation on user activity and message toxicity.

CoderUJB evaluates LLM performance in real-world Java programming tasks.

DeepSample offers effective techniques for testing Deep Neural Networks efficiently and accurately.

A study on how Large Language Models can improve vulnerability detection in software.

FT2Ra enhances code completion efficiency through retrieval methods without full model retraining.

A study on how well LLMs handle variations in mathematical prompts.

This review outlines a framework for AIOps in incident management.

Learn how LLMs can help make C programming safer and more efficient.

A study on developers' use of unsafe code in Rust.

LLMs improve accuracy in medical transcriptions, benefiting patient care.

A method for improving melody extraction across different music styles with minimal human effort.

New methods enhance voice activity and overlap detection in speaker diarization.

New method integrates speech signals for enhanced depression detection.

This article discusses methods to create immersive sound fields using various arrangements.

A new method reduces unwanted metallic sound in audio reverberation.

Chirp MFCC enhances audio signal representation for better classification and recognition.

EMO-SUPERB project enhances speech emotion recognition through improved techniques and community collaboration.

A novel algorithm improves computation of polynomial equations using Gröbner bases and Hensel lifting.

Learn about WebPie, a simple language using dependent types for safe programming.

Exploring AI's role in shaping music through advanced techniques and structures.

Exploring total division in mathematical structures and its implications.

A new method enhances DAE regularization techniques for better efficiency and accuracy.

Introducing new methods to improve optical flow estimation using event-based cameras.

A new approach enhances the evaluation of dynamic relationships using Petri nets.

This paper presents a new sub-polyhedral domain for optimizing machine learning compilers.

A method to analyze and reduce carbon emissions in electrical distribution systems.

This study emphasizes the importance of target variables in vehicle behavior modeling.

Engineers use advanced methods to keep safety-critical systems stable and secure.

Rationality ratio aids agents in making better strategic decisions.

This article discusses a fresh approach to understanding causal relationships over time.

Examining how positive Lur'e systems maintain stability under various conditions.

A look at innovative methods in cybersecurity using cyber deception.

Analyzing the changes and challenges in the Nordic power market.