Buchumschlag

UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models

Fuente: arXiv

Gespeichert in:

Bibliographische Detailangaben
Hauptverfasser:	Li, Zhuoyang, Deng, Liran, Liu, Hui, Liu, Qiaoqiao, Du, Junzhao
Format:	Preprint
Veröffentlicht:	2024
Schlagworte:	Computation and Language Artificial Intelligence
Online-Zugang:	Acceder al recurso
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge

Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering
von: Liu, Jiaxiang, et al.
Veröffentlicht: (2024)

RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
von: Gong, Zhaoyan, et al.
Veröffentlicht: (2025)

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
von: Liu, Runxuan, et al.
Veröffentlicht: (2025)

Conversational Question Answering with Reformulations over Knowledge Graph
von: Liu, Lihui, et al.
Veröffentlicht: (2023)

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
von: Sui, Yuan, et al.
Veröffentlicht: (2024)

Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering
von: Long, Xiao, et al.
Veröffentlicht: (2025)

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models
von: Qi, Liu, et al.
Veröffentlicht: (2024)

Multi-hop Question Answering over Knowledge Graphs using Large Language Models
von: Chakraborty, Abir
Veröffentlicht: (2024)

Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
von: Ma, Chuangtao, et al.
Veröffentlicht: (2025)

KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration
von: Wang, Nan, et al.
Veröffentlicht: (2025)

Cost-efficient Knowledge-based Question Answering with Large Language Models
von: Dong, Junnan, et al.
Veröffentlicht: (2024)

Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering
von: Hu, Zhongjian, et al.
Veröffentlicht: (2024)

Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models
von: Jiang, Feihu, et al.
Veröffentlicht: (2024)

Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
von: Wang, Yuqi, et al.
Veröffentlicht: (2024)

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering
von: Cao, Han, et al.
Veröffentlicht: (2024)

A Knowledge-Injected Curriculum Pretraining Framework for Question Answering
von: Lin, Xin, et al.
Veröffentlicht: (2024)

Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
von: Thompson, Travis, et al.
Veröffentlicht: (2025)

Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering
von: Wen, Zhihua, et al.
Veröffentlicht: (2024)

EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering
von: Long, Xiao, et al.
Veröffentlicht: (2025)

Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering
von: Xu, Yao, et al.
Veröffentlicht: (2024)

Declarative Knowledge Distillation from Large Language Models for Visual Question Answering Datasets
von: Eiter, Thomas, et al.
Veröffentlicht: (2024)

UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction
von: Liu, Zhiqiang, et al.
Veröffentlicht: (2024)

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering
von: Fu, Rong, et al.
Veröffentlicht: (2026)

Towards Building a Robust Knowledge Intensive Question Answering Model with Large Language Models
von: Hong, Xingyun, et al.
Veröffentlicht: (2024)

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
von: Luo, Haoran, et al.
Veröffentlicht: (2023)

From Retrieval to Generation: Unifying External and Parametric Knowledge for Medical Question Answering
von: Li, Lei, et al.
Veröffentlicht: (2025)

MEG: Medical Knowledge-Augmented Large Language Models for Question Answering
von: Cabello, Laura, et al.
Veröffentlicht: (2024)

Interpretable Question Answering with Knowledge Graphs
von: Aneja, Kartikeya, et al.
Veröffentlicht: (2025)

MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering
von: Shi, Yucheng, et al.
Veröffentlicht: (2023)

Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
von: Sui, Yuan, et al.
Veröffentlicht: (2024)

LingYi: Medical Conversational Question Answering System based on Multi-modal Knowledge Graphs
von: Xia, Fei, et al.
Veröffentlicht: (2022)

UniMem: Towards a Unified View of Long-Context Large Language Models
von: Fang, Junjie, et al.
Veröffentlicht: (2024)

Rationale-guided Prompting for Knowledge-based Visual Question Answering
von: Hu, Zhongjian, et al.
Veröffentlicht: (2024)

Gradually Excavating External Knowledge for Implicit Complex Question Answering
von: Liu, Chang, et al.
Veröffentlicht: (2026)

UniSD: Towards a Unified Self-Distillation Framework for Large Language Models
von: Jin, Yiqiao, et al.
Veröffentlicht: (2026)

Reliable Academic Conference Question Answering: A Study Based on Large Language Model
von: Huang, Zhiwei, et al.
Veröffentlicht: (2023)

Reinforcement Learning for Conversational Question Answering over Knowledge Graph
von: Wu, Mi
Veröffentlicht: (2024)

Uncertainty-Aware Dynamic Knowledge Graphs for Reliable Question Answering
von: Takahashi, Yu, et al.
Veröffentlicht: (2025)

Dynamic Few-Shot Learning for Knowledge Graph Question Answering
von: D'Abramo, Jacopo, et al.
Veröffentlicht: (2024)

ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph
von: Jiang, Jinhao, et al.
Veröffentlicht: (2023)