Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Runxuan, Luo, Bei, Li, Jiaqi, Wang, Baoxin, Liu, Ming, Wu, Dayong, Wang, Shijin, Qin, Bing |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CE-GOCD: Central Entity-Guided Graph Optimization for Community Detection to Augment LLM Scientific Question Answering
by: Lan, Jiayin, et al.
Published: (2026)
by: Lan, Jiayin, et al.
Published: (2026)
NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM
by: Lan, Jiayin, et al.
Published: (2025)
by: Lan, Jiayin, et al.
Published: (2025)
Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models
by: Liu, Runxuan, et al.
Published: (2026)
by: Liu, Runxuan, et al.
Published: (2026)
RE$^2$: Improving Chinese Grammatical Error Correction via Retrieving Appropriate Examples with Explanation
by: Wang, Baoxin, et al.
Published: (2025)
by: Wang, Baoxin, et al.
Published: (2025)
Reverse Thinking Makes LLMs Stronger Reasoners
by: Chen, Justin Chih-Yao, et al.
Published: (2024)
by: Chen, Justin Chih-Yao, et al.
Published: (2024)
Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering
by: Wang, Yuqi, et al.
Published: (2024)
by: Wang, Yuqi, et al.
Published: (2024)
SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model
by: Wu, Dayong, et al.
Published: (2024)
by: Wu, Dayong, et al.
Published: (2024)
RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
by: Gong, Zhaoyan, et al.
Published: (2025)
by: Gong, Zhaoyan, et al.
Published: (2025)
Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering
by: Jiang, Longquan, et al.
Published: (2025)
by: Jiang, Longquan, et al.
Published: (2025)
SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types
by: Zhang, Xuanliang, et al.
Published: (2024)
by: Zhang, Xuanliang, et al.
Published: (2024)
Large Language Models Meet Knowledge Graphs for Question Answering: Synthesis and Opportunities
by: Ma, Chuangtao, et al.
Published: (2025)
by: Ma, Chuangtao, et al.
Published: (2025)
Geospatial Question Answering on Historical Maps Using Spatio-Temporal Knowledge Graphs and Large Language Models
by: Liu, Ziyi, et al.
Published: (2025)
by: Liu, Ziyi, et al.
Published: (2025)
Multi-Agents Based on Large Language Models for Knowledge-based Visual Question Answering
by: Hu, Zhongjian, et al.
Published: (2024)
by: Hu, Zhongjian, et al.
Published: (2024)
Joint Knowledge Base Completion and Question Answering by Combining Large Language Models and Small Language Models
by: Liu, Yinan, et al.
Published: (2026)
by: Liu, Yinan, et al.
Published: (2026)
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
by: Sui, Yuan, et al.
Published: (2024)
by: Sui, Yuan, et al.
Published: (2024)
LM-Combiner: A Contextual Rewriting Model for Chinese Grammatical Error Correction
by: Wang, Yixuan, et al.
Published: (2024)
by: Wang, Yixuan, et al.
Published: (2024)
Schema-Aware Planning and Hybrid Knowledge Toolset for Reliable Knowledge Graph Triple Verification
by: Ma, Xinyan, et al.
Published: (2026)
by: Ma, Xinyan, et al.
Published: (2026)
Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering
by: Chu, Zheng, et al.
Published: (2025)
by: Chu, Zheng, et al.
Published: (2025)
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering
by: Liu, Jiaxiang, et al.
Published: (2024)
by: Liu, Jiaxiang, et al.
Published: (2024)
UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models
by: Li, Zhuoyang, et al.
Published: (2024)
by: Li, Zhuoyang, et al.
Published: (2024)
KBQA-R1: Reinforcing Large Language Models for Knowledge Base Question Answering
by: Sun, Xin, et al.
Published: (2025)
by: Sun, Xin, et al.
Published: (2025)
Conversational Question Answering with Reformulations over Knowledge Graph
by: Liu, Lihui, et al.
Published: (2023)
by: Liu, Lihui, et al.
Published: (2023)
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale
by: Gai, Xiaotang, et al.
Published: (2024)
by: Gai, Xiaotang, et al.
Published: (2024)
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering
by: Lu, Yifan, et al.
Published: (2024)
by: Lu, Yifan, et al.
Published: (2024)
GoT-CQA: Graph-of-Thought Guided Compositional Reasoning for Chart Question Answering
by: Zhang, Lingling, et al.
Published: (2024)
by: Zhang, Lingling, et al.
Published: (2024)
Good Learners Think Their Thinking: Generative PRM Makes Large Reasoning Model More Efficient Math Learner
by: He, Tao, et al.
Published: (2025)
by: He, Tao, et al.
Published: (2025)
LLMBoost: Make Large Language Models Stronger with Boosting
by: Chen, Zehao, et al.
Published: (2025)
by: Chen, Zehao, et al.
Published: (2025)
GraCoRe: Benchmarking Graph Comprehension and Complex Reasoning in Large Language Models
by: Yuan, Zike, et al.
Published: (2024)
by: Yuan, Zike, et al.
Published: (2024)
DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS
by: Wang, Yingxu, et al.
Published: (2025)
by: Wang, Yingxu, et al.
Published: (2025)
KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration
by: Wang, Nan, et al.
Published: (2025)
by: Wang, Nan, et al.
Published: (2025)
Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering
by: Long, Xiao, et al.
Published: (2025)
by: Long, Xiao, et al.
Published: (2025)
iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering
by: Wang, Shuai, et al.
Published: (2025)
by: Wang, Shuai, et al.
Published: (2025)
Improving Grammatical Error Correction via Contextual Data Augmentation
by: Wang, Yixuan, et al.
Published: (2024)
by: Wang, Yixuan, et al.
Published: (2024)
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering
by: Chu, Zheng, et al.
Published: (2024)
by: Chu, Zheng, et al.
Published: (2024)
Knowledge Graph-Guided Multi-Agent Distillation for Reliable Industrial Question Answering with Datasets
by: Pan, Jiqun, et al.
Published: (2025)
by: Pan, Jiqun, et al.
Published: (2025)
Chain of Strategy Optimization Makes Large Language Models Better Emotional Supporter
by: Zhao, Weixiang, et al.
Published: (2025)
by: Zhao, Weixiang, et al.
Published: (2025)
Rationale-guided Prompting for Knowledge-based Visual Question Answering
by: Hu, Zhongjian, et al.
Published: (2024)
by: Hu, Zhongjian, et al.
Published: (2024)
Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models
by: An, Wenbin, et al.
Published: (2024)
by: An, Wenbin, et al.
Published: (2024)
MKG-Rank: Enhancing Large Language Models with Knowledge Graph for Multilingual Medical Question Answering
by: Li, Feiyang, et al.
Published: (2025)
by: Li, Feiyang, et al.
Published: (2025)
Plan of Knowledge: Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
by: Qian, Xinying, et al.
Published: (2025)
by: Qian, Xinying, et al.
Published: (2025)
Similar Items
-
CE-GOCD: Central Entity-Guided Graph Optimization for Community Detection to Augment LLM Scientific Question Answering
by: Lan, Jiayin, et al.
Published: (2026) -
NLP-AKG: Few-Shot Construction of NLP Academic Knowledge Graph Based on LLM
by: Lan, Jiayin, et al.
Published: (2025) -
Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models
by: Liu, Runxuan, et al.
Published: (2026) -
RE$^2$: Improving Chinese Grammatical Error Correction via Retrieving Appropriate Examples with Explanation
by: Wang, Baoxin, et al.
Published: (2025) -
Reverse Thinking Makes LLMs Stronger Reasoners
by: Chen, Justin Chih-Yao, et al.
Published: (2024)