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- iAgent: LLM Agent as a Shield between User and Recommender Systems38
A new user-agent-platform paradigm is proposed, where agent serves as the protective shield between user and recommender system that enables indirect exposure.
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- Jailbreaking Large Language Diffusion Models: Revealing Hidden Safety Flaws in Diffusion-Based Text Generation25
A PArallel Decoding jailbreak (PAD) for diffusion-based language models is presented, which introduces Multi-Point Attention Attack, which guides parallel generative processes toward harmful outputs that inspired by affirmative response patterns in LLMs.
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- DD-Ranking: Rethinking the Evaluation of Dataset Distillation14
DD-Ranking, a unified evaluation framework, along with new general evaluation metrics to uncover the true performance improvements achieved by different methods are proposed, which provide a more comprehensive and fair evaluation standard for future research advancements.
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- Random sparse sampling strategy using stochastic simulation and estimation for a population pharmacokinetic study12
The quantitative methodology of stochastic simulation and estimation is valuable for efficiently estimating the compartment model and can be used for other similar model development and evaluation approaches.
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- Seismic Behavior of RC Corbel-Type Misaligned Column-Beam Joints: Experimental and Numerical Studies2
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- The temporal limits of predicting fault failure2
This first effort predicting future fault frictional behavior with machine learning will guide efforts for applications in Earth.
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- A Neighbor-Searching Discrepancy-based Drift Detection Scheme for Learning Evolving Data1
The proposed method is able to detect real concept drift with high accuracy while ignoring virtual drift, and can also indicate the direction of the classification boundary change by identifying the invasion or retreat of a certain class, which is also an indicator of separability change between classes.
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- Analysis of Security Issue in C2C E-Commerce Based on Game Theory1
The main factors influencing the trust conduct of transaction bodies are analyzed and suggestions for improving credit system are put forward through the use of the static game theory.
- Research on Electronic Commercial1
The paper analyzed the current developing model and innovation of electronic commerce in this country’s small and medium-sized enterprises.
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- Knowledge graph-based approach for intelligent recommendation of communication solutions–
The recommendation list is generated based on the combined similarity, completing the intelligent recommendation process for communication solutions with significantly higher efficiency compared to the manual calculations.
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- The Study of Innovation Network Formation Mechanism Based on Evolution Game–
The result shows that the less enterprise cooperation innovation investment cost, greater input and output elasticity coefficient and the cooperative innovation effect, stronger innovation capability is, the greater the probability of the enterprise innovation network formation is and the easier the network is to achieve a stable state.
- Design and Implementation of a Staff Management System in Small and Medium-sized Enterprise–
The staff information management is an important aspect of the management in-company and the three-tier of B/S mode and the C# programming language are chosen.
- Study of Power Quality Analyzer based on Lifting Wavelet–
With the high-performance 32 floating-point processing unit, the realization of bior4.4 wavelet is realized and the experiment results prove its feasibility and validity.
- Research of Diagnostic system of Transformer State Monitoring and Fault Based on Virtual Instrument–
Based on virtual instrument technique, use LabVIEM platform to develop a transform state monitoring and failure system to monitor the transformer fault state and judge its failure categority and property.
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- Design and development of data warehouse for power system equipment–
Considering the feature and current need of electric power development, a new scheme for data warehouse of power system equipment is brought forward, and the principle and design of multi-dimension database, online analytical processing and data analysis by discover are discussed also.
- Well-Formed Dependency to String translation with BTG Grammar–
This paper proposes a well-formed dependency to string translation model with BTG grammar that is effective to relieve the problems of parsing error and flatness in dependency structure by enabling the usage of wellformed sub-structures and allowing flexible reordering of them.
Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-12. One-sentence summaries under some papers are written by Semantic Scholar’s model. Citation counts may be lower than on Google Scholar, which indexes more sources.
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