GEGA: Graph Convolutional Networks and Evidence Retrieval Guided Attention for Enhanced Document-level Relation Extraction
Fuente:
arXiv
Guardado en:
| Autores principales: | Mao, Yanxu, Chen, Xiaohui, Liu, Peipei, Cui, Tiehan, Yue, Zuhui, Li, Zheng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
BioMedSearch: A Multi-Source Biomedical Retrieval Framework Based on LLMs
por: Liu, Congying, et al.
Publicado: (2025)
por: Liu, Congying, et al.
Publicado: (2025)
Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation
por: Mao, Yanxu, et al.
Publicado: (2024)
por: Mao, Yanxu, et al.
Publicado: (2024)
Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM Agents
por: Mao, Yanxu, et al.
Publicado: (2026)
por: Mao, Yanxu, et al.
Publicado: (2026)
Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models
por: Mao, Yanxu, et al.
Publicado: (2024)
por: Mao, Yanxu, et al.
Publicado: (2024)
ProtRLSearch: A Multi-Round Multimodal Protein Search Agent with Large Language Models Trained via Reinforcement Learning
por: Liu, Congying, et al.
Publicado: (2026)
por: Liu, Congying, et al.
Publicado: (2026)
Exploring Jailbreak Attacks on LLMs through Intent Concealment and Diversion
por: Cui, Tiehan, et al.
Publicado: (2025)
por: Cui, Tiehan, et al.
Publicado: (2025)
From LLMs to MLLMs to Agents: A Survey of Emerging Paradigms in Jailbreak Attacks and Defenses within LLM Ecosystem
por: Mao, Yanxu, et al.
Publicado: (2025)
por: Mao, Yanxu, et al.
Publicado: (2025)
CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction
por: Tran, Khai Phan, et al.
Publicado: (2025)
por: Tran, Khai Phan, et al.
Publicado: (2025)
NEXUS: Continual Learning of Symbolic Constraints for Safe and Robust Embodied Planning
por: Cui, Tiehan, et al.
Publicado: (2026)
por: Cui, Tiehan, et al.
Publicado: (2026)
Consistency Guided Knowledge Retrieval and Denoising in LLMs for Zero-shot Document-level Relation Triplet Extraction
por: Sun, Qi, et al.
Publicado: (2024)
por: Sun, Qi, et al.
Publicado: (2024)
MVFE ‐ MC : Multi‐View Feature Extraction and Multimodal Classifier for Concrete Defect Image Classification
por: Xueqian Chu, et al.
Publicado: (2025)
por: Xueqian Chu, et al.
Publicado: (2025)
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction
por: Li, Qian, et al.
Publicado: (2024)
por: Li, Qian, et al.
Publicado: (2024)
KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities
por: Mai, Chengcheng, et al.
Publicado: (2024)
por: Mai, Chengcheng, et al.
Publicado: (2024)
Document-level Clinical Entity and Relation Extraction via Knowledge Base-Guided Generation
por: Bhattarai, Kriti, et al.
Publicado: (2024)
por: Bhattarai, Kriti, et al.
Publicado: (2024)
Graph-Augmented Relation Extraction Model with LLMs-Generated Support Document
por: Dong, Vicky, et al.
Publicado: (2024)
por: Dong, Vicky, et al.
Publicado: (2024)
Relational Graph Convolutional Networks for Sentiment Analysis
por: Khosravi, Asal, et al.
Publicado: (2024)
por: Khosravi, Asal, et al.
Publicado: (2024)
CARE: Co-Attention Network for Joint Entity and Relation Extraction
por: Kong, Wenjun, et al.
Publicado: (2023)
por: Kong, Wenjun, et al.
Publicado: (2023)
Enhancing Document Retrieval in COVID-19 Research: Leveraging Large Language Models for Hidden Relation Extraction
por: Trieu, Hoang-An, et al.
Publicado: (2025)
por: Trieu, Hoang-An, et al.
Publicado: (2025)
Node Classification via Semantic-Structural Attention-Enhanced Graph Convolutional Networks
por: Zhu, Hongyin
Publicado: (2024)
por: Zhu, Hongyin
Publicado: (2024)
LLM with Relation Classifier for Document-Level Relation Extraction
por: Li, Xingzuo, et al.
Publicado: (2024)
por: Li, Xingzuo, et al.
Publicado: (2024)
Aspect and Opinion Term Extraction Using Graph Attention Network
por: Chakraborty, Abir
Publicado: (2024)
por: Chakraborty, Abir
Publicado: (2024)
Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis
por: Huang, Xiang, et al.
Publicado: (2025)
por: Huang, Xiang, et al.
Publicado: (2025)
ConvD: Attention Enhanced Dynamic Convolutional Embeddings for Knowledge Graph Completion
por: Guo, Wenbin, et al.
Publicado: (2023)
por: Guo, Wenbin, et al.
Publicado: (2023)
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck
por: Cui, Shiyao, et al.
Publicado: (2023)
por: Cui, Shiyao, et al.
Publicado: (2023)
GLiDRE: Generalist Lightweight model for Document-level Relation Extraction
por: Armingaud, Robin, et al.
Publicado: (2025)
por: Armingaud, Robin, et al.
Publicado: (2025)
Augmenting Document-level Relation Extraction with Efficient Multi-Supervision
por: Lin, Xiangyu, et al.
Publicado: (2024)
por: Lin, Xiangyu, et al.
Publicado: (2024)
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation
por: Zhao, Xinping, et al.
Publicado: (2024)
por: Zhao, Xinping, et al.
Publicado: (2024)
Event Temporal Relation Extraction based on Retrieval-Augmented on LLMs
por: Zhang, Xiaobin, et al.
Publicado: (2024)
por: Zhang, Xiaobin, et al.
Publicado: (2024)
GADePo: Graph-Assisted Declarative Pooling Transformers for Document-Level Relation Extraction
por: Coman, Andrei C., et al.
Publicado: (2023)
por: Coman, Andrei C., et al.
Publicado: (2023)
Document-level Causal Relation Extraction with Knowledge-guided Binary Question Answering
por: Wang, Zimu, et al.
Publicado: (2024)
por: Wang, Zimu, et al.
Publicado: (2024)
ReasonEmbed: Enhanced Text Embeddings for Reasoning-Intensive Document Retrieval
por: Chen, Jianlyu, et al.
Publicado: (2025)
por: Chen, Jianlyu, et al.
Publicado: (2025)
Attention Grounded Enhancement for Visual Document Retrieval
por: Cui, Wanqing, et al.
Publicado: (2025)
por: Cui, Wanqing, et al.
Publicado: (2025)
Knowledge Augmented Entity and Relation Extraction for Legal Documents with Hypergraph Neural Network
por: Wu, Binglin, et al.
Publicado: (2026)
por: Wu, Binglin, et al.
Publicado: (2026)
Enhanced Multi-Tuple Extraction for Alloys: Integrating Pointer Networks and Augmented Attention
por: Hei, Mengzhe, et al.
Publicado: (2025)
por: Hei, Mengzhe, et al.
Publicado: (2025)
Utilizing Contextual Clues and Role Correlations for Enhancing Document-level Event Argument Extraction
por: Liu, Wanlong, et al.
Publicado: (2023)
por: Liu, Wanlong, et al.
Publicado: (2023)
Retrieval-Augmented Generation-based Relation Extraction
por: Efeoglu, Sefika, et al.
Publicado: (2024)
por: Efeoglu, Sefika, et al.
Publicado: (2024)
Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies
por: Pronesti, Massimiliano, et al.
Publicado: (2025)
por: Pronesti, Massimiliano, et al.
Publicado: (2025)
Relation as a Prior: A Novel Paradigm for LLM-based Document-level Relation Extraction
por: Pi, Qiankun, et al.
Publicado: (2025)
por: Pi, Qiankun, et al.
Publicado: (2025)
MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence Retrieval
por: Zhang, Delvin Ce, et al.
Publicado: (2026)
por: Zhang, Delvin Ce, et al.
Publicado: (2026)
Entity-Aware Self-Attention and Contextualized GCN for Enhanced Relation Extraction in Long Sentences
por: Wang, Xin, et al.
Publicado: (2024)
por: Wang, Xin, et al.
Publicado: (2024)
Ejemplares similares
-
BioMedSearch: A Multi-Source Biomedical Retrieval Framework Based on LLMs
por: Liu, Congying, et al.
Publicado: (2025) -
Low-Resource Fast Text Classification Based on Intra-Class and Inter-Class Distance Calculation
por: Mao, Yanxu, et al.
Publicado: (2024) -
Stop Fixating on Prompts: Reasoning Hijacking and Constraint Tightening for Red-Teaming LLM Agents
por: Mao, Yanxu, et al.
Publicado: (2026) -
Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models
por: Mao, Yanxu, et al.
Publicado: (2024) -
ProtRLSearch: A Multi-Round Multimodal Protein Search Agent with Large Language Models Trained via Reinforcement Learning
por: Liu, Congying, et al.
Publicado: (2026)