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Found 14 papers, 1 papers with code
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks
Graph data, also known as complex network data, is omnipresent across various domains and applications.
MetaAID 2.5: A Secure Framework for Developing Metaverse Applications via Large Language Models
Our goal is to educate users and strengthen their defense capabilities through exposure to a comprehensive simulation system.
Climate Change from Large Language Models
We propose a set of comprehensive metrics to evaluate the climate crisis knowledge, incorporating indicators from 10 different perspectives.
Reranking Passages with Coarse-to-Fine Neural Retriever Enhanced by List-Context Information
The proposed coarse-to-fine (C2F) neural retriever addresses the out-of-memory limitation of the passage attention mechanism by dividing the list-context modeling process into two sub-processes with a cache policy learning algorithm, enabling the efficient encoding of context information from a large number of candidate answers.
Extracting Relational Triples Based on Graph Recursive Neural Network via Dynamic Feedback Forest Algorithm
Extracting relational triples (subject, predicate, object) from text enables the transformation of unstructured text data into structured knowledge.
FQP 2.0: Industry Trend Analysis via Hierarchical Financial Data
For this reason, we introduce the method of industry trend analysis from two perspectives of explicit analysis and implicit analysis.
MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models
Pre-trained models (PM) have achieved promising results in content generation.
Financial data analysis application via multi-strategy text processing
The financial industry contains a wide variety of data, such as financial statements, customer information, stock trading data, news, etc.
MetaAID: A Flexible Framework for Developing Metaverse Applications via AI Technology and Human Editing
Achieving the expansion of domestic demand and the economic internal circulation requires balanced and coordinated support from multiple industries (domains) such as consumption, education, entertainment, engineering infrastructure, etc., which is indispensable for maintaining economic development.
MetaOnce: A Metaverse Framework Based on Multi-scene Relations and Entity-relation-event Game
We propose a rule controller and impose constraints on the relations that allow the framework to behave in a compliant manner.
Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation
In this paper, we propose a heterogeneous knowledge language model (\textbf{HKLM}), a unified pre-trained language model (PLM) for all forms of text, including unstructured text, semi-structured text, and well-structured text.
Structural block driven - enhanced convolutional neural representation for relation extraction
In this paper, we propose a novel lightweight relation extraction approach of structural block driven - convolutional neural learning.
CFS: A Distributed File System for Large Scale Container Platforms
We propose CFS, a distributed file system for large scale container platforms.
Distributed, Parallel, and Cluster Computing
FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition
Named entity recognition (NER) is a foundational technology for information extraction.
