Yang Liu

Exploring the fascinating properties of EuCd P and its colossal magnetoresistance.

New methods improve the creation of detailed 3D objects efficiently.

A method to enhance ASR systems for users who stutter.

Research examines the vulnerabilities and patch process in Golang development.

A new method combines code generation with autocompletion to reduce errors.

Understanding software licenses is essential to avoid legal risks in development.

Study reveals risks of multilingual jailbreak attacks on large language models.

Understanding the process involved in creating CMB maps for astrophysical studies.

A new approach enhances audio generation by aligning audio with text descriptions.

A simple comparison between LLMs and a two-player game reveals insights into their training.

A new approach to align agents with human goals and surroundings.

Addressing ethical concerns through selective memory removal in AI models.

Introducing ACGCL: a new approach for better graph representation learning.

A new model improves 3D understanding using varied datasets for better performance.

This article investigates the unique properties of bilayer phononic crystals and their applications.

A novel approach to reward over-optimization in language models using uncertainty estimation.

Methods to minimize bias in large language models for fairer outcomes.

New method integrates space group constraints for accurate crystal generation.

A study on classifying flexible quadrilateral meshes and their applications.

FPGAs promise faster methods for many-body computations in physics.

A study reveals new techniques for backdoor attacks on language models with minimal impact.

A new framework improves how language agents learn and perform tasks.

A method to approximate fairness-accuracy trade-offs for machine learning models.

A new approach enhances smart contract auditing and vulnerability detection.

TGMM simplifies detecting similar code across multiple programming languages.

A model integrates knowledge from molecules to improve predictions in science.

A new model generates realistic movements in conversations, improving interaction understanding.

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

A fast and precise method for measuring distances using frequency comb lasers.

Improving software security by detecting vulnerabilities before exploitation.

Analyzing how internal stresses affect the shape change of cylindrical materials.

A study on the effectiveness of SAST tools for smart contracts.

A new approach to enhance code clone detection across software projects.

A simulation environment that improves doctor agent training through patient interactions.

Investigating the roles of membrane nucleation and vacuum states in dark energy.

Introducing a technique for better predictions and confidence intervals in decision-making.

A new method improves detection of changing objects using combined knowledge sources.

This paper presents new sampling methods for better generative model performance.

A new method to protect privacy in text-to-image models.

Explore the importance of reliability in assessing psychological traits and behaviors.

Scientists improve detection methods for dark photons, potential candidates for dark matter.

A look into phases of universe expansion and string theory's role.

New methods improve detection of Ponzi schemes in cryptocurrency investments.

This article discusses fairness measurement in recommendation systems and proposes sampling methods.

Examining how fairness in machine learning can evolve across decisions and time.

UGradSL offers a practical solution for removing sensitive information from machine learning models.

This article discusses the challenges of machine unlearning and a new approach to balance privacy and accuracy.

Samba efficiently manages long sequences for better language processing.

A new detector aims to probe unexplored areas of particle physics.

Examining the impact of deprecated APIs on LLM code suggestions.

A look at how randomized quasi-Monte Carlo methods estimate integrals under various conditions.

Introducing a framework to better assess common factor models using generalized residuals.

FuseGen combines multiple models for better quality synthetic data in machine learning.

New framework improves modeling of complex physical systems using discrete symmetry.

This paper explores fairness and stability in machine learning models affected by their predictions.

A look into topological properties and dynamics in quantum systems.

Recent findings question our understanding of the universe's expansion and structure formation.

SimXRD offers millions of simulated XRD patterns for improved crystal classification.

A two-stage framework improves Python's type inference, enhancing code quality and efficiency.

Rethinking how machines interact for more natural conversations.

TongGu simplifies the understanding of Classical Chinese with specialized techniques.

A new method enhances SiN circuits for better performance and scalability.

A reliable earbud-based system monitors breathing rates during various daily activities.

New IRIS technique enhances CEST MRI image quality for better diagnostics.

A new method improves the search for mathematical expressions from data.

VQA-Diff combines techniques to enhance 3D vehicle modeling from real-world images.

A new dataset enhances machine learning in understanding 3D environments and language.

Fisher zeros reveal insights into phase transitions in quantum mechanics.

Researchers develop split ribozyme biosensors to track RNA in living plants.

A factory in Huizhou aims to deepen our knowledge of particles and the universe.

New methods improve black-box attacks using unlabeled data for machine learning.

New AI tools are simplifying music editing with innovative techniques and improved precision.

A new framework enhances knowledge graph completion efficiency and accuracy using large language models.

A new model enhances battery range predictions for electric bikes.

A guide to understanding reliability in psychology assessments.

This study presents a method to enhance tracing of security patches.

SuperVINS enhances robot navigation with deep learning techniques for improved mapping.

Movable antennas adapt to improve communication performance in various environments.

A method to identify weaknesses in language models for better performance.

Techniques to safeguard personal images from misuse by generative models.