Computer Science

This article examines the threat of backdoor attacks on language model agents.

Investigating self-bias in LLMs and its impact on performance.

Language models excel at text but lack sensory understanding.

A simplified approach for training AI models based on self-judgment.

A study on enhancing language model learning using minimal style changes in training data.

This study reveals how LLMs improve planning efficiency and success rates.

ChatDiet combines personal data and population knowledge for better food advice.

A new framework creates customized AI models quickly and easily.

This benchmark assesses the performance of medical language models in healthcare.

This article examines the threat of backdoor attacks on language model agents.

Examining performance of language models on financial reasoning tasks.

A study reveals gaps in LLMs' understanding of logic rules compared to humans.

Investigating self-bias in LLMs and its impact on performance.

Language models excel at text but lack sensory understanding.

A simplified approach for training AI models based on self-judgment.

A new framework assesses how LLMs reason to answer complex questions.

This study examines boundary labeling techniques to improve clarity in illustrations.

This article delves into the concept of clique transversals and their significance in graph theory.

A study of equilibria challenges in first-price auctions with discrete values.

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

Exploring the role of lattices in secure cryptographic systems.

Examining worst-case scenarios in simplex algorithm and policy iteration.

New methods improve space efficiency in solving the Subset Sum problem.

Exploring the relationship between group actions and orbit closures in algebraic geometry.

A detailed look into the ECL dataset for bankruptcy prediction.

A new approach enhances multigrid methods for complex simulations with low quality cells.

Learn how substructure modes enhance antenna design and performance in various environments.

Researchers develop efficient models for plasma turbulence to improve fusion efficiency.

Innovative method for designing lightweight and strong triangular lattice structures.

Discover how PPIretrieval improves understanding of protein interactions.

New preconditioning method improves material analysis in engineering.

A look at deep learning methods in drug discovery.

This study examines boundary labeling techniques to improve clarity in illustrations.

An overview of spanners, Steiner points, and their significance in various applications.

A method to measure path similarities, accounting for errors and data noise.

Exploring flexible clustering methods for level graphs with new planarity definitions.

Improved methods for analyzing and grouping moving object paths.

Learn about hyperbolic spaces and methods for finding nearby points efficiently.

Exploring optimal light angles to maximize illumination of flat shapes.

Voxelization simplifies the analysis of 3D images across various fields.

A new algorithm merges BQL and CFR for better learning in dynamic environments.

A look into how to ensure fair pricing practices among algorithmic sellers.

Explore how reference pricing shapes dynamic pricing strategies in online markets.

Examining fairness and efficiency in distributing limited resources.

A study of equilibria challenges in first-price auctions with discrete values.

New methods for bootstrapping in resource allocation models.

An overview of auction design considering bidders' interdependent valuations.

This study examines contracts between principals and learning agents through repeated interactions.

This benchmark assesses the performance of medical language models in healthcare.

Introducing FOMO, a method to improve DNNs against adversarial attacks through forgetting.

Learn how conditional invariance enhances model performance across varying data types.

A look at the potential and challenges of neuromorphic sensors for face analysis.

A new system learns user preferences in real-time to suggest clothing.

A novel deep-learning framework classifies images of varying sizes for better permeability prediction.

Researchers improve tumor detection accuracy using advanced imaging techniques.

MVDiffusion++ creates detailed 3D models from just one or a few images.

This article examines how language models can adopt ideological biases from training data.

This study explores how cultural context shapes mental health expressions among Indian users on Reddit.

A new model for identifying misleading narratives in media.

Innovative approaches are improving access to education for underserved communities.

An analysis of bias and incivility in Indian television debates.

Making eviction data usable for tenant organizers to drive change.

This article examines the role of copyleft in AIGC copyright concerns.

Examining the social dynamics and benefits of autonomous AI interactions.

This article examines the threat of backdoor attacks on language model agents.

SPML enhances chatbot safety by monitoring user inputs and refining definitions.

This article examines how language models can adopt ideological biases from training data.

Exploring the threats posed by indiscriminate data poisoning in self-supervised learning.

A system to check fairness in machine learning while protecting model privacy.

A study reveals effective strategies for enhancing threat hunting in cybersecurity.

New technique improves bug detection in JavaScript engines using advanced models.

Examining how fine-tuning increases the risk of revealing sensitive training data.

An overview of graph coloring, distance coloring, and their complexities.

New algorithms enhance clustering accuracy while minimizing query costs.

This article delves into the concept of clique transversals and their significance in graph theory.

Research on labeling schemes improves network reliability against failures.

An overview of spanners, Steiner points, and their significance in various applications.

A guide to scheduling robots efficiently in chemistry labs.

An overview of auction design considering bidders' interdependent valuations.

HeiStreamE and FreightE tackle large graph edge partitioning efficiently.

Learn how extractive summarization simplifies complex knowledge graphs.

A look at how database resilience impacts data management and query processing.

GraphMatch offers a faster way to find matching subgraphs using FPGAs.

GraphMini accelerates graph pattern matching using auxiliary graphs, enhancing efficiency and speed.

Understanding various dimensions to assess data quality effectively.

ReMatch improves schema matching by utilizing retrieval-enhanced language models for better accuracy.

A new method improves data cleaning while maintaining fairness in machine learning models.

Model lakes could streamline the selection and management of machine learning models.

Researchers are citing older work less frequently, a trend with significant implications.

Examining the significance and challenges of literature reviews in Pattern Analysis and Machine Intelligence.

Examining the growth and challenges of open access in academic publishing.

This article reviews data sharing practices in research at the Max Planck Society.

A novel approach to assess piano music difficulty using sheet music images.

Leveraging language models to streamline information extraction in virology.

This article examines citation manipulation and its effects on research evaluation.

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

Research highlights new methods for efficient sampling in complex distributions.

An overview of graph coloring, distance coloring, and their complexities.

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

This article delves into the concept of clique transversals and their significance in graph theory.

Examining worst-case scenarios in simplex algorithm and policy iteration.

A look into the properties and implications of connected matchings.

Voxelization simplifies the analysis of 3D images across various fields.

An overview of key problems in metric graphs and their significance.

A new algorithm improves task offloading efficiency in mobile edge computing environments.

Study of how agents reach agreement with limited communication.

Seer optimizes GPU performance for irregular workloads using smart prediction methods.

Strategies for effective task distribution among computers in a network.

A new method enhances consensus in distributed systems amidst noise and faults.

Examining how memory types impact communication in distributed systems.

Automated monitoring solutions enhance cloud service efficiency and reliability.

Research examines FPGA improvements for enhanced market risk analysis efficiency.

A look at the potential and challenges of neuromorphic sensors for face analysis.

A detailed analysis of quantum simulation tools and their performance challenges.

Nanoscale devices enhance disease diagnosis and treatment through flow-guided localization.

Memristors mimic brain function, advancing artificial intelligence and neuromorphic circuits.

Exploring the synergy of silicon photonics and neural networks for efficient information processing.

Discover how Step CRNs simulate complex circuits using simple rules.

Researchers merge digital and analog methods for improved optical computing efficiency.

Innovative methods improve operations in silicon quantum dot arrays using shuttling techniques.

Exploring the sliding window model for regular languages in data streams.

Exploring new methods for analyzing complex computational systems using Continuous Pushdown VASS.

A deep dive into lasso languages and their significance in computer science.

Learn about CFGs and FSAs, their properties, and applications in programming and linguistics.

Exploring the structure and computation of equivariant ideals in infinitely many variables.

A new method reduces syntax errors in code generated by large language models.

A simplified look at automata and their mathematical foundations.

Explore the significance and applications of combinatorial theory in various fields.

A new method improves flow analysis by addressing uncertainty in FTLE data.

New AI tools streamline the creation of realistic 3D textures using text prompts.

A new method for generating high-resolution images from limited viewpoints.

A new method enhances visualization efficiency in scientific data analysis.

Improving precision in hand-object tracking with GeneOH Diffusion.

Mochi improves collision detection speed and accuracy using ray tracing technology.

A new method for seamless multi-view image editing.

Voxelization simplifies the analysis of 3D images across various fields.

A study on improving task mapping in CGRAs using SAT methods.

Examining the energy efficiency issues in training AI systems and potential solutions.

A novel cache attack exploits replacement policies to leak sensitive information.

Research shows how power capping GPUs can reduce energy use and temperatures.

Secure Scattered Memory protects data content and access patterns effectively.

A new framework enhances GNN performance using Processing-In-Memory systems.

A fresh perspective on finding hidden threats in hardware design.

GraphMatch offers a faster way to find matching subgraphs using FPGAs.

A new approach to make type error messages clearer for programmers.

Examining how data storytelling aids comprehension over traditional methods.

A program that enhances communication skills using conversation simulations.

Making eviction data usable for tenant organizers to drive change.

A search tool to simplify data trend analysis using natural language.

A project integrates EEG to enhance humanities education through real-time emotion detection.

Study examines two training methods for phishing awareness and response.

A virtual world simulating marine life and environments for interactive experiences.

ChatDiet combines personal data and population knowledge for better food advice.

Study investigates how LLMs recall graphs compared to human memory.

A new system learns user preferences in real-time to suggest clothing.

Exploring the challenges and innovations in matching audio recordings to sheet music.

A new approach enhances recommendations by leveraging collaborative filtering and contrastive learning.

A new approach leverages self-supervised learning for connecting audio and sheet music.

A new method improves audio and sheet music matching.

This study explores enhancing the accuracy of neural rankers using language models.

6G will reshape communication with advanced positioning and sensing features.

Learn effective methods for managing and storing large datasets.

Learn how causal entropy and information gain help us analyze relationships between variables.

Learn how feedback boosts efficiency in queues with fixed service times.

Learn how CCS processes translate into visual Petri nets.

This paper examines the use of artificial noise to secure VLC data transmissions.

D2D communication offers a way to improve mobile data efficiency.

This article discusses improving mobile edge computing through joint optimization techniques.

Exploring the benefits of using programming in reinforcement learning.

Learn how CCS processes translate into visual Petri nets.

A look into an unconventional approach to expression evaluation.

Exploring new methods for analyzing complex computational systems using Continuous Pushdown VASS.

Examining forks in closure algebras and their significance in logic and reasoning.

A novel approach to enhance the behavior of generative agents using Temporal Stream Logic.

Research reveals new insights into solving complex computational problems efficiently.

A novel approach enhances efficiency in SMT solving for bit-vectors.

This method improves analysis of relationships between variables using smaller data samples.

New techniques improve evaluation accuracy in reinforcement learning, shaping future applications.

A new method improves music generation by adding performance context.

A new method improves molecule design by considering multiple properties simultaneously.

A simplified approach for training AI models based on self-judgment.

Research highlights new methods to tackle model misspecification and improve prediction reliability.

ChatDiet combines personal data and population knowledge for better food advice.

A new approach generates audio captions using only text, improving data efficiency.

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.

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 new algorithm merges BQL and CFR for better learning in dynamic environments.

Study of how agents reach agreement with limited communication.

Study shows vaccination can reduce COVID-19 spread in small communities.

AgA offers a way to align personal and collective goals in mixed-motive cooperation.

This study analyzes how Agent-Based Models can improve public health responses to pandemics.

A new model helps improve public health resource allocation through language processing.

Understanding how machines manage tasks for humans through alignment and capabilities.

New methods enhance how agents learn to cooperate and communicate effectively.

ChatDiet combines personal data and population knowledge for better food advice.

An analysis of bias and incivility in Indian television debates.

New framework improves video compression efficiency and quality.

This article examines how images impacted public opinion during the Russia-Ukraine conflict.

A new method enhances image quality during wireless transmission over noisy channels.

MemeCraft creates engaging memes to promote social causes safely.

A new method enhances machine learning of audio-visual data.

Research reveals broader ways to deliver directions using spatial knowledge.

A new algorithm improves task offloading efficiency in mobile edge computing environments.

A new approach enhances radar signal detection in shared frequency environments.

This article explores efficient deployment of UAV swarms for better area coverage.

A new method for faster and better radio environment map predictions using deep learning.

A system monitoring communication traffic to improve vehicle safety and protect against threats.

D2D communication offers a way to improve mobile data efficiency.

A look at new methods improving wireless communication performance.

Examining peer selection methods in cryptocurrency networks for improved connectivity and stability.

A new approach enhances predictions of paraganglioma tumor growth for better patient care.

A look at the Continual Self-Organizing Map and its learning capabilities.

A new method enhances Bayesian network learning by improving data categorization.

A new method enhances how robots understand their surroundings for better navigation.

Research highlights elite samples for greener AI model training.

A fresh approach helps AI maintain knowledge while learning new tasks.

MNNs automate the discovery of governing equations in scientific research.

Discover how advanced algorithms improve delivery routing efficiency.

A look into shape optimization processes across various fields.

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

Insights into the Eisenbud-Wigner-Smith time delay and its implications.

Researching methods to solve the Cauchy problem using fractional derivatives.

Exploring the links between chemical signals and organism movement.

A new approach simplifies solving linear equations dependent on numerous parameters.

Exploring DRL's effectiveness in managing temperature with cooling jets on hot surfaces.

A method to manage nearly singular integrals in fluid mechanics and potential theory.

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 new method to reduce data center memory costs effectively.

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

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.

New methods improve performance predictions by focusing on memory dependencies.

Learn how to identify and fix performance bottlenecks in computing.

A new framework enhances GNN performance using Processing-In-Memory systems.

GraphMini accelerates graph pattern matching using auxiliary graphs, enhancing efficiency and speed.

A new framework improves real-time analysis of dynamic graphs using persistent memory.

A new system enhances the output and cost-effectiveness of large language models.

Streamlining the calibration process for more accurate simulations in distributed computing.

Study reveals how AMD's Zen+ architecture executes instructions for better software optimization.

SPML enhances chatbot safety by monitoring user inputs and refining definitions.

Exploring methods to enhance coding task performance in language models using data.

Exploring the benefits of using programming in reinforcement learning.

Introducing a framework for clearer semantics in probabilistic programming languages.

A new approach to make type error messages clearer for programmers.

Learn how to prevent internal failures in software programming effectively.

Learn how MPST enhances communication processes in distributed systems.

A novel approach enhances efficiency in SMT solving for bit-vectors.

A new method improves decision-making in autonomous driving for better traffic management.

A new method improves the safety testing of self-driving vehicles in real-world conditions.

A look at creating affordable measurement systems for balancing robots.

A new method helps robots follow complex commands more effectively.

This article explores how active inference shapes movement and decision-making.

New methods help robots navigate using visual input without complex maps.

A new method enhances how robots understand their surroundings for better navigation.

New dataset aims to enhance machine understanding of touch through vision and language.

Study investigates how LLMs recall graphs compared to human memory.

A new method improves graph neural networks' performance on unseen data.

Examining how digital platforms reshape collaboration and knowledge sharing.

An analysis of bias and incivility in Indian television debates.

Study shows vaccination can reduce COVID-19 spread in small communities.

Learn how extractive summarization simplifies complex knowledge graphs.

New methods reveal hidden patterns in brain connectivity.

Discover a new method for analyzing complex networks through hierarchical structures.

A method to balance performance, cost, and energy in cloud applications.

Exploring methods to enhance coding task performance in language models using data.

A study reveals effective strategies for enhancing threat hunting in cybersecurity.

New technique improves bug detection in JavaScript engines using advanced models.

A study highlights the need for natural code transformations in bug fixing.

A new method trains code models effectively without relying on symbols.

Explore efficient methods for verifying complex software using ranged program analysis.

Learn how to prevent internal failures in software programming effectively.

A new method improves music generation by adding performance context.

A new approach generates audio captions using only text, improving data efficiency.

Exploring the challenges and innovations in matching audio recordings to sheet music.

A new approach leverages self-supervised learning for connecting audio and sheet music.

A new method improves audio and sheet music matching.

Using k-means clustering to optimize audio data for better model training.

Study shows audio augmentation can enhance speech recognition in low-resource languages.

A new approach improves efficiency in multilingual ASR models by integrating adaptive masking techniques.

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.

Grobner bases simplify computations in solving polynomial equations, impacting fields like cryptography.

A new method improves decision-making in autonomous driving for better traffic management.

A look at creating affordable measurement systems for balancing robots.

Research highlights methods to control flow separation for improved aircraft performance.

Automated monitoring solutions enhance cloud service efficiency and reliability.

Fast-charging hubs play a vital role in supporting the growth of electric vehicles.