Computer Science

HYDRA improves deep neural network efficiency for resource-limited edge devices.

This study assesses various visual models for understanding complex 3D scenes.

A tool to analyze chat logs quickly and effectively for researchers.

Exploring how graph structure influences predictions in biomedical knowledge graphs.

A new algorithm enhances the creation of alpha factors for better investment insights.

Researchers develop a technique to safeguard important words in text data.

Research shows EEG data can help artificial neural networks resist adversarial attacks.

A new approach to evaluate language models efficiently.

A new method enhances efficiency and accuracy in large language models.

Examining how social identities affect biases in language models.

This study assesses various visual models for understanding complex 3D scenes.

A tool to analyze chat logs quickly and effectively for researchers.

Leveraging RAG with LLMs improves customer service agent efficiency and response accuracy.

Researchers develop a technique to safeguard important words in text data.

A study on the impact of ICL and SFT on language model structure.

Examining the role of attention across different layers in language models.

Learn how Integer Linear Programming aids decision-making across various fields.

Examining the challenges and significance of the Subset Sum problem in computer science.

Researchers develop new techniques for building strong bipartite graphs.

Exploring how errors in catalytic computation can expand computational capabilities.

Exploring the role of high dimensional expanders in mathematics and computer science.

New algorithm improves analysis of regular languages and their partitions.

Pseudorandom codes ensure secure data transmission and protect against errors.

New methods improve algorithm efficiency and memory usage.

This study analyzes price relationships among various cryptocoins to forecast trends.

Introducing an efficient method for studying electron behavior in low-temperature plasma.

A novel model improves predictions of drugs crossing the blood-brain barrier.

Investigating how hydrogen affects metal strength and ductility in various applications.

Software uses machine learning for accurate cryptocoins price predictions.

Scientists use Nested Fusion to analyze complex Mars data effectively.

RegNLP aims to make understanding regulatory documents easier and more efficient.

AstroMAE utilizes masked autoencoders for improved redshift predictions in astronomy.

Learn about the construction and significance of monotone arc diagrams in graph representation.

Learn how graph morphing transforms visual representations seamlessly while maintaining clarity.

A new barcode method enhances data analysis by capturing geometric features.

Exploring bifiltrations for improved data analysis and outlier management.

A look at how merge trees enhance our grasp of crystalline materials.

HyperSteiner presents a more efficient method for calculating Steiner Minimal Trees.

Morse-Smale complexes enhance data analysis in various scientific fields.

Exploring how granular materials behave under different forces through cycle analysis.

Examining the effects of Execution Tickets and Auctions on blockchain centralization.

This study examines envy-free resource distribution in graph settings.

MATWA helps users solve and visualize matching problems effectively.

Analyzing the use of coevolutionary algorithms to find winning strategies in combinatorial games.

This article examines how misinformation affects player behavior in various scenarios.

Exploring how author rankings can improve peer review quality in research.

Manage network traffic for better performance and quality of service.

This article analyzes how ambiguity affects decision-making in leader-follower scenarios.

This study assesses various visual models for understanding complex 3D scenes.

This study evaluates machine learning models for detecting trash in rivers.

GIMDiffusion simplifies 3D generation from text descriptions using geometry images.

RealisHuman enhances image quality by refining human features in generated images.

A new method improves surface reconstruction from sparse images, ensuring detail and efficiency.

SegTalker enhances talking face videos with realistic textures and easy editing.

TCDiff enhances synthetic face creation for better face recognition.

A new method for assessing robustness in ML classifiers using adversarial distance.

Examining public perception of AI-generated news and its impact.

Automated journalism uses technology to transform news gathering and reporting processes.

Exploring current gaps in data transparency practices across AI systems.

Examining ethical issues in using language models for psychiatric conditions.

Exploring a government program to protect society from AI-related risks.

Examining the impact of automated moderation on speech related to identity groups.

A new dataset aims to promote fair housing and lending practices.

Examining the need for ethical guidelines in complexity science research.

This paper addresses control-flow leakage threats and proposes a new hardware-software approach.

Examining how important data points attract more security risks in machine learning.

A new IDS model provides efficient DDoS detection in Software Defined Networks.

FTLGAN enhances facial recognition for low-resolution images, ensuring better identification.

New method creates virtual faces for online interactions while ensuring user privacy.

Learn how security practices can improve software development and reduce risks.

A look at differential privacy and its role in protecting individual data while ensuring utility.

Exploring the significance of lightweight cryptography and MDS matrices for secure communication.

A new method to measure the performance of greedy algorithms in string optimization.

New algorithms enhance integer linear programming efficiency for optimization problems.

Learn how Integer Linear Programming aids decision-making across various fields.

Examining the complexity of connecting pairs in acyclic directed graphs.

A new approach to tailoring choices based on individual preferences.

Examining the challenges and significance of the Subset Sum problem in computer science.

MATWA helps users solve and visualize matching problems effectively.

New methods enhance efficiency in simulating complex quantum circuits.

Learn how LLMs streamline event log creation from messy IoT data.

ConVer-G streamlines urban data management by tracking multiple versions efficiently.

Learn how to generate realistic fake data safely.

This study evaluates how LLMs handle SPARQL queries and Knowledge Graphs.

A platform simplifies access to databases and APIs using natural language.

Learn how metadata-lakes streamline access to research data and improve management.

HybridFC combines methods to improve fact-checking in knowledge graphs.

A toolkit designed to help researchers manage and share their data effectively.

KOSs organize research information, aiding quick retrieval and management.

Exploring how author rankings can improve peer review quality in research.

WISDOM helps identify and track new research themes in science and technology.

Learn how metadata-lakes streamline access to research data and improve management.

A new approach enhances research clarity using cognitive knowledge graphs and language models.

Analyzing changes in research activities during the COVID-19 pandemic.

A new perspective on how scholars decide where to publish their work.

Examining how LLMs are changing writing and speaking in academic settings.

Learn about the construction and significance of monotone arc diagrams in graph representation.

A straightforward approach to predict the solubility of chemical compounds in water.

A look into graphs, their properties, and practical applications.

Neural Spacetimes offer innovative representations for analyzing directed graphs in various fields.

A look into graph languages and their role in processing complex information.

Exploring classical and quantum approaches to random sampling of permutations.

Exploring pathways in directed hypercubes for efficient data transfer.

New methods improve estimates of edge crossings in dense graphs.

New methods improve machine learning efficiency in mobile environments.

Analyzing energy consumption in supercomputers for enhanced efficiency.

AI-driven load balancing improves cloud performance and efficiency.

A new approach for flexible mobile AI using on-device language models.

Introducing FedFT, a method to improve communication in Federated Learning.

This article examines how Coarray and CUDA Fortran integration enhances computing performance.

An engaging assignment on DNA sequence alignment aids parallel programming education.

Learn how Model Input Verification safeguards simulation accuracy across various fields.

Learn how LLMs streamline event log creation from messy IoT data.

An overview of APM's advancements, challenges, and prospects across various fields.

A study on how cultural values impact software engineers' adoption of LLMs.

RegNLP aims to make understanding regulatory documents easier and more efficient.

DasAtom improves quantum circuit operation in neutral atom systems.

A look at the latest developments in machine translation models.

qSAT solver utilizes quantum methods for efficient hardware design verification.

This article discusses the scalability issues in quantum communication networks.

Discover the role of QuAK in assessing system performance and safety.

Exploring the challenges of hybrid games and the synthesis problem.

A look into monitoring techniques for reliable real-time system performance.

Analyzing the alignment of language models with traditional computational theories.

New algorithm improves analysis of regular languages and their partitions.

This article examines Watson-Crick automata and their role in analyzing circular DNA structures.

Explore the complexity of finite automata using translucent letters in language recognition.

An examination of comet languages and their significance in contextual grammars.

New methods enhance speed and accuracy in simulating deformable objects.

GIMDiffusion simplifies 3D generation from text descriptions using geometry images.

HiSC4D captures human movement using wearable sensors for better interaction analysis.

Fisheye-GS improves 3D graphics using fisheye camera images.

A novel approach makes it easier for artists to simulate fungal growth.

New methods improve the management of 3D data while keeping quality high.

A new method to improve 3D scene recreation from images with less error.

A new method enhances the quality of tetrahedral meshes in 3D modeling.

HYDRA improves deep neural network efficiency for resource-limited edge devices.

This article examines AI's growing energy needs and its implications for power systems.

A look at hardware advancements making LLMs faster and more efficient.

Hybrid processors improve efficiency and accuracy in Transformer models.

Explore how FPGAs improve real-time image processing efficiency and speed.

A new framework optimizes circuit knitting for better quantum computing performance.

A new compiler technique enhances performance and reduces errors in neutral atom quantum computing.

Analyzing the performance of HPC datacenters with ML and traditional workloads.

A study shows how broader tracking enhances understanding of menstrual health.

A tool to analyze chat logs quickly and effectively for researchers.

Research shows EEG data can help artificial neural networks resist adversarial attacks.

Effective data visualization can bridge the gap between information and action on climate change.

New methods using uncertainty to enhance error detection in medical image analysis.

How beliefs and biases shape our views on AI outcomes.

A study investigates crowdworkers' experiences with smartphones, tablets, and more.

This study reveals how crowdworkers prefer different devices for their tasks.

A tool to analyze chat logs quickly and effectively for researchers.

Leveraging RAG with LLMs improves customer service agent efficiency and response accuracy.

HGAMN enhances the search for points of interest across languages.

Baidu introduces Mobius, improving ad relevance and revenue generation in search results.

A method to build Knowledge Graphs from raw documents efficiently.

WebQuest aids testing models that answer questions from multiple web pages.

A system to improve IT support using retrieval augmented generation.

This paper presents late chunking for better text retrieval by preserving context.

This technology improves wireless networks by using many antennas across large areas.

This work presents new coding techniques for efficient C-RAN communication.

Rydberg atomic receivers provide new solutions for more sensitive wireless communication.

Exploring Hybrid NOMA's role in enhancing wireless networks and energy efficiency.

A new method for assessing the value of graph data in various fields.

Examining methods to compress data while maintaining quality and user experience.

Exploring how learning efficiency impacts decision-making in complex environments.

A look at how error-correcting codes ensure reliable data transmission.

Exploring the Mason-Stothers Theorem and its significance in number theory.

Analyzing the connections between Weihrauch problems and Büchi games in computer science.

Examining how defeasible reasoning accommodates exceptions in our understanding of concepts.

A study revealing similarities between two types of modal logic.

Exploring the challenges of hybrid games and the synthesis problem.

Exploring the significance and implications of deep sets in information theory.

Learn key strategies for handling shared resources in concurrent programming.

This article discusses the challenges in analyzing automata networks and their implications.

New methods enhance speed and accuracy in simulating deformable objects.

This study assesses various visual models for understanding complex 3D scenes.

A tool to analyze chat logs quickly and effectively for researchers.

Exploring how graph structure influences predictions in biomedical knowledge graphs.

A new algorithm enhances the creation of alpha factors for better investment insights.

Examining how important data points attract more security risks in machine learning.

This study analyzes price relationships among various cryptocoins to forecast trends.

A study on the impact of ICL and SFT on language model structure.

A new library enhances MPPI algorithms for robotics applications.

A new library improves methods for handling complex multiobjective optimization problems.

A new framework combines machine learning and PDEs for efficient scientific modeling.

Learn how quantum emulators advance research and explore algorithm performance.

Forester simplifies machine learning for R users with a user-friendly package.

Learn how the funnel method simplifies solving constrained optimization challenges.

Improving simulations of multiphase fluid flows using modern GPU technology.

HypersurfaceRegions.jl helps researchers analyze complex mathematical structures.

This article examines how misinformation affects player behavior in various scenarios.

Research highlights how AI can support pilots in maintaining balance during flight.

Teams of robots enhance signal detection using Voronoi-based formation techniques.

Introducing CollaMamba, a model to enhance understanding in technology fields.

New strategies for agent collaboration enhance trust and efficiency in AI responses.

Exploring how communication shapes teamwork between humans and AI agents.

A new method enhances information gathering for robots in complex situations.

AgentTorch enhances agent-based modeling, simulating complex behaviors in large populations.

SegTalker enhances talking face videos with realistic textures and easy editing.

HiSC4D captures human movement using wearable sensors for better interaction analysis.

Introducing a method to improve question-answering in videos with multiple events.

An overview of audio-visual speaker diarization methods, challenges, and systems.

This work enhances vision-language models through improved data strategies and innovative techniques.

A new method improves object identification in images through tailored visual and text integration.

SimCLIP enhances meme analysis by effectively combining text and images.

MIP-GAF dataset helps analyze social dynamics in images.

A practical approach to enhance ML models against adversarial inputs in network management.

Using digital twins to optimize roundabout traffic and improve vehicle communication.

A look into the future of wireless communication and energy efficiency in 6G.

AI-driven load balancing improves cloud performance and efficiency.

A new tool streamlines interplanetary communication for future space missions.

Manage network traffic for better performance and quality of service.

Integrating artificial intelligence into O-RAN's SMO enhances network management and performance.

A new method for traffic sampling in dynamic network conditions.

Exploring the impact of predictive coding on neural network learning methods.

A new method allows for easier conversion of ANNs to SNNs with less energy use.

A look into how reservoir computing manages multiple tasks and its challenges.

New study highlights EEG and AI for early Alzheimer's diagnosis.

A framework using LLMs to enhance evolutionary algorithms for MOPs.

Analyzing the use of coevolutionary algorithms to find winning strategies in combinatorial games.

Neural Spacetimes offer innovative representations for analyzing directed graphs in various fields.

Y-Drop improves dropout by focusing on neuron importance, enhancing model performance.

New methods for solving stochastic control problems without derivatives using neural networks.

Discover how Zolotarev rational functions manage values in different domains.

Introducing an efficient method for studying electron behavior in low-temperature plasma.

Investigating how hydrogen affects metal strength and ductility in various applications.

New correction strategies enhance numerical methods for modeling complex physical systems.

An approach to simulate randomness in biological processes using advanced mathematical methods.

Real2Sim helps robotic arms learn effectively through realistic simulations.

Combining domain decomposition and operator inference for faster simulations.

A look into memory allocation strategies and their importance in system efficiency.

A new approach to safeguarding system logs from unauthorized access and tampering.

A detailed look at CXL memory performance and optimization techniques.

A look at FIFO and Round Robin scheduling methods in computing systems.

GPUVM enhances GPU memory management for faster data processing.

A unified API streamlines communication with NVMe devices for developers.

EDM transforms memory disaggregation, achieving rapid data access and efficiency.

HotMem speeds up memory reclamation in serverless setups for improved performance.

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 article examines AI's growing energy needs and its implications for power systems.

Analyzing energy consumption in supercomputers for enhanced efficiency.

Inf-MLLM enhances efficiency in handling complex data streams with limited resources.

A new method predicts DNN performance on various hardware quickly and accurately.

Exploring the shift toward GPU-centered methods for better computing performance.

Exploring how Starlink influences video streaming globally.

nekCRF enhances combustion simulations for better efficiency and lower emissions.

Learn how UL-TDoA enhances 5G positioning capabilities for various industries.

Transform dialect offers better control for performance engineers in compiler optimization.

A new approach to programming robots for real-time tasks in various environments.

A method to ensure reliable quantum program execution with lattice surgery.

A new system enhances bug detection in smart contracts.

This article examines how Coarray and CUDA Fortran integration enhances computing performance.

Discover a new way to design adaptive programming languages.

A new approach enhances symbolic execution in Python using a Large Language Model.

An overview of how Qualtran simplifies quantum algorithm development.

This study assesses various visual models for understanding complex 3D scenes.

New platform improves soft robot control and performance using machine learning.

GNMap enhances the generation of HD maps for autonomous vehicle navigation.

A new approach to programming robots for real-time tasks in various environments.

New dataset enhances tracking of multiple objects in challenging video conditions.

A new method enhances control of humanoid robots with quick and precise actions.