Cover Image

Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Muzhi, Yang, Cehao, Xu, Chengjin, Jiang, Xuhui, Qi, Yiyan, Guo, Jian, Leung, Ho-fung, King, Irwin
Format:	Preprint
Published:	2024
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
by: Li, Muzhi, et al.
Published: (2024)

Context Graph
by: Xu, Chengjin, et al.
Published: (2024)

The Integration of Semantic and Structural Knowledge in Knowledge Graph Entity Typing
by: Li, Muzhi, et al.
Published: (2024)

Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
by: Ma, Shengjie, et al.
Published: (2024)

Financial Knowledge Large Language Model
by: Yang, Cehao, et al.
Published: (2024)

Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models
by: Ma, Shengjie, et al.
Published: (2025)

Financial Wind Tunnel: A Retrieval-Augmented Market Simulator
by: Cao, Bokai, et al.
Published: (2025)

Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval
by: Wu, Xiaojun, et al.
Published: (2025)

LongFaith: Enhancing Long-Context Reasoning in LLMs with Faithful Synthetic Data
by: Yang, Cehao, et al.
Published: (2025)

From Evidence to Trajectory: Abductive Reasoning Path Synthesis for Training Retrieval-Augmented Generation Agents
by: Li, Muzhi, et al.
Published: (2025)

MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training
by: Chen, Zhanpeng, et al.
Published: (2024)

GraphSearch: An Agentic Deep Searching Workflow for Graph Retrieval-Augmented Generation
by: Yang, Cehao, et al.
Published: (2025)

Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning
by: Yang, Cehao, et al.
Published: (2025)

Conflicts Make Large Reasoning Models Vulnerable to Attacks
by: Liu, Honghao, et al.
Published: (2026)

Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
by: Liu, Honghao, et al.
Published: (2026)

ADRA-Bank: A Modular Benchmark for Academic Deep Research Agents
by: Guo, Zhihan, et al.
Published: (2025)

DataArc-SynData-Toolkit: A Unified Closed-Loop Framework for Multi-Path, Multimodal, and Multilingual Data Synthesis
by: Shi, Zhichao, et al.
Published: (2026)

ChartBench: A Benchmark for Complex Visual Reasoning in Charts
by: Xu, Zhengzhuo, et al.
Published: (2023)

Advancing Multi-Agent RAG Systems with Minimalist Reinforcement Learning
by: Wu, Yihong, et al.
Published: (2025)

Beyond Function-Level Search: Repository-Aware Dual-Encoder Code Retrieval with Adversarial Verification
by: Liu, Aofan, et al.
Published: (2025)

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
by: Ma, Peixian, et al.
Published: (2025)

On the Evolution of Knowledge Graphs: A Survey and Perspective
by: Jiang, Xuhui, et al.
Published: (2023)

ChartPoint: Guiding MLLMs with Grounding Reflection for Chart Reasoning
by: Xu, Zhengzhuo, et al.
Published: (2025)

ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting
by: Tian, Yuxing, et al.
Published: (2026)

RuleRAG: Rule-Guided Retrieval-Augmented Generation with Language Models for Question Answering
by: Chen, Zhongwu, et al.
Published: (2024)

PAK-UCB Contextual Bandit: An Online Learning Approach to Prompt-Aware Selection of Generative Models and LLMs
by: Hu, Xiaoyan, et al.
Published: (2024)

A Multi-Armed Bandit Approach to Online Selection and Evaluation of Generative Models
by: Hu, Xiaoyan, et al.
Published: (2024)

An Information Theoretic Approach to Interaction-Grounded Learning
by: Hu, Xiaoyan, et al.
Published: (2024)

ChartMoE: Mixture of Diversely Aligned Expert Connector for Chart Understanding
by: Xu, Zhengzhuo, et al.
Published: (2024)

Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets
by: Jiang, Xuhui, et al.
Published: (2023)

A Survey on Large Language Model Hallucination via a Creativity Perspective
by: Jiang, Xuhui, et al.
Published: (2024)

Query-Focused Retrieval Heads Improve Long-Context Reasoning and Re-ranking
by: Zhang, Wuwei, et al.
Published: (2025)

Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
by: Sun, Jiashuo, et al.
Published: (2023)

PromptWise: Online Learning for Cost-Aware Prompt Assignment in Generative Models
by: Hu, Xiaoyan, et al.
Published: (2025)

Latent Conditional Diffusion-based Data Augmentation for Continuous-Time Dynamic Graph Model
by: Tian, Yuxing, et al.
Published: (2024)

Towards Semantically Enriched Embeddings for Knowledge Graph Completion
by: Alam, Mehwish, et al.
Published: (2023)

Reason, Retrieve, Re-rank: A Zero-Shot Reasoning-Aware Framework for Composed Video Retrieval
by: Alavi, Ali
Published: (2026)

JudgeAgent: Beyond Static Benchmarks for Knowledge-Driven and Dynamic LLM Evaluation
by: Shi, Zhichao, et al.
Published: (2025)

Soft Reasoning Paths for Knowledge Graph Completion
by: Hou, Yanning, et al.
Published: (2025)

Re-ranking the Context for Multimodal Retrieval Augmented Generation
by: Mortaheb, Matin, et al.
Published: (2025)