OntoChat: Framework for Conversational Ontology Engineering
OntoChat introduces a conversational framework for ontology engineering, leveraging Large Language Models to support requirement elicitation, analysis, and testing.
Maximally Extendable Sheaf Codes: A Study of Linear Codes on Coded Spaces
Maximally extendable sheaf codes ensure optimal global extension of local sections.
CARE: Co-Attention Network for Joint Entity and Relation Extraction
Proposing a Co-Attention network for joint entity and relation extraction to enhance interaction between subtasks.
IDTrust: Deep Identity Document Quality Detection with Bandpass Filtering
IDTrust introduces a deep-learning framework for assessing the quality of identification documents, enhancing dataset applicability and accuracy in distinguishing between original and scanned IDs.
EROS: Entity-Driven Controlled Policy Document Summarization
Enhancing privacy policy document interpretability and readability through controlled abstractive summarization.
Text Is MASS: Stochastic Text Modeling for Text-Video Retrieval
Enriching text embedding with flexibility and resilience through stochastic modeling enhances text-video retrieval performance.
Graph Signal Diffusion Model for Collaborative Filtering: A Novel Approach for Recommendation Systems
Proposing a novel Graph Signal Diffusion Model (GiffCF) for Collaborative Filtering to enhance recommendation systems.
Analyzing Codes for Noisy Substring Channel
Coding strategies for noisy substring channels.
Denoising Table-Text Retrieval for Open-Domain Question Answering
Proposing Denoised Table-Text Retriever (DoTTeR) to improve table-text retrieval and question-answering tasks.
KC-GenRe: A Knowledge-constrained Generative Re-ranking Method for Knowledge Graph Completion
KC-GenRe introduces a knowledge-constrained generative re-ranking method based on large language models for knowledge graph completion, addressing issues of mismatch, misordering, and omission.
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