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- Large language models for generative information extraction: a survey507
This study surveys the most recent advancements in generative Large Language Models efforts for IE tasks and identifies several insights in technique and promising research directions that deserve further exploration in future studies.
- LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation161
A dual-view modeling framework is designed that combines semantics from LLMs and collaborative signals from conventional SRS to address the long-tail item challenge and a retrieval augmented self-distillation method to enhance user preference representation using more informative interactions from similar users.
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- Image Encryption Algorithm Based on Plane-Level Image Filtering and Discrete Logarithmic Transform122
The test and analysis results show that IEA-IF-DLT not only has better security performance, but also exhibits significant efficiency advantages.
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- A Novel Multi-Channel Image Encryption Algorithm Leveraging Pixel Reorganization and Hyperchaotic Maps100
This work proposes a novel multi-channel image encryption algorithm that leverages pixel reorganization and hyperchaotic maps (MIEA-PRHM), and demonstrates that MIEA-PRHM outperforms many recent encryption algorithms in various aspects, especially in encryption efficiency.
- LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation84
This paper introduces LLMEmb, a novel method leveraging LLM to generate item embeddings that enhance SRS performance and proposes a Supervised Contrastive Fine-Tuning (SCFT) approach to bridge the gap between general-purpose LLM and the recommendation domain.
- Integrating Fractional-Order Hopfield Neural Network with Differentiated Encryption: Achieving High-Performance Privacy Protection for Medical Images70
This paper introduces a high-performance medical IE scheme that integrates a novel 4D fractional-order HNN with a differentiated encryption strategy (MIES-FHNN-DE) that better meets the privacy protection demands for medical images in emerging fields like medical intelligent analysis and medical cloud services.
- Large multimodal models evaluation: a survey57
By unifying general-specialized understanding and modality-specific generation evaluations, this survey clarifies the current landscape and provides guidance for future research in the LMM evaluation field.
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- State-Dependent Variable Fractional-Order Hyperchaotic Dynamics in a Coupled Quadratic Map: A Novel System for High-Performance Image Protection45
A novel two-dimensional variable fractional-order coupled quadratic hyperchaotic map (2D-VFCQHM), which incorporates a state-dependent dynamic memory effect, wherein the fractional-order is adaptively determined at each iteration by the mean of the system’s current state.
- Two-Dimensional Coupling-Enhanced Cubic Hyperchaotic Map with Exponential Parameters: Construction, Analysis, and Application in Hierarchical Significance-Aware Multi-Image Encryption37
A new 2D coupling-enhanced cubic hyperchaotic map with exponential parameters (2D-CCHM-EP) is proposed, which exhibits strict local expansiveness, effectively suppresses periodic windows, and achieves robust hyperchaotic behavior, validated both theoretically and numerically.
- A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers31
A comprehensive, data-centric synthesis that reframes the development of Sci-LLMs as a co-evolution between models and their underlying data substrate, and outlines a paradigm shift toward closed-loop systems where autonomous agents based on Sci-LLMs actively experiment, validate, and contribute to a living, evolving knowledge base.
- Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation30
An Adaptive Multi-Aspect Retrieval-augmented over KGs (Amar) framework that retrieves knowledge including entities, relations, and subgraphs, and converts each piece of retrieved text into prompt embeddings, and achieves state-of-the-art performance on two common datasets.
- DeepGait: A Learning Deep Convolutional Representation for Gait Recognition26
A novel video sensor-based gait representation, DeepGait, is proposed, using deep convolutional features, generated by using an pre-trained VGG-D net without any fine-tuning to improve the recognition performances.
- Glycyrrhetinic acid loaded in milk-derived extracellular vesicles for inhalation therapy of idiopathic pulmonary fibrosis22
The mEVs@GA effectively diminished the development of fibrosis and improved pulmonary function in the IPF mice model at a quarter of the dose compared with the pirfenidone oral administration group.
- Covalent bonding-designed Ti3C2Tx@Fe3O4@SiO2 nanocomposites for high-efficiency microwave absorption21
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- A new method based on association rules mining and geo-filter for mining spatial association knowledge11
Geo-Filtered Association Rules Mining (GFARM) is proposed to effectively eliminate the redundant rules in association rule mining and is successful in discovering spatial association pattern between building land distribution and driving factors.
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- Autonomous collaborative rescue of drone swarms in cluttered environments5
A flocking control model for drone swarms, Convolutional Soft Actor-Critic (CSAC), based on deep reinforcement learning (DRL), which integrates DRL with convolutional neural networks (CNNs), aiming to accelerate the end-to-end decision-making process by reducing model parameters.
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- Dictionary-Based, Clustered Sparse Representation for Hyperspectral Image Classification3
Experiments show that the proposed method of dictionary-based, clustered sparse coefficients can create better representations of hyperspectral images, with a greater overall accuracy and a Kappa coefficient.
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- Application of Information Management System in the Marine Environment Monitoring Laboratory2
With the management system which can improve the environmental monitoring work efficiency, the quality management standard, the authors can get better for environmental management service.
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- Adjustments in energy metabolism of brown adipose tissue in heat-acclimated Kunming mice1
It is suggested that BAT adapts to heat acclimation by regulating pathways related to pyruvate oxidation, tricarboxylic acid cycle, and oxidative phosphorylation, which may help maintain thermal homeostasis in Kunming mice.
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- Applying Rough Set Theory to Establish Artificial Neural Networks Model for Short Term Incidence Rate Forecasting1
The method indicates that incidence rate forecast model can be established according some theoretical principles and avoiding blindness and a practical application is given at last to demonstrate the usefulness of the novel method.
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- Research on Design and Application of Computer's Intelligent Control System–
This article makes brief statements on the design and application of computer intelligent control system.
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- Research on the Equipment Maintenance Support Quality Index System–
The quality evaluation index system that this paper brings forward is propitious to improve the level of the equipment maintenance support level and avoid the waste in the manpower, material and finance.
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- Linguistic Model for the Controlled Object–
The describing ability of a fuzzy model is discussed and a formal representation method for describing a fuzzymodel is given and the combine method for a fuzzy system constructed by multiple fuzzy models is discussed.
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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 2026-10-15. 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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