Enhancing Large Language Models with Reward-guided Tree Search for Knowledge Graph Question and Answering

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Long, Xiao, Zhuang, Liansheng, Shen, Chen, Yan, Shaotian, Li, Yifei, Wang, Shafei
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering
by: Long, Xiao, 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)

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

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

Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
by: Yan, Shaotian, et al.
Published: (2025)

Enhancing LLM Reasoning with Reward-guided Tree Search
by: Jiang, Jinhao, et al.
Published: (2024)

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

Concise and Organized Perception Facilitates Reasoning in Large Language Models
by: Liu, Junjie, et al.
Published: (2023)

RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
by: Gong, Zhaoyan, 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)

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

UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models
by: Li, Zhuoyang, et al.
Published: (2024)

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

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

Temporal Knowledge Graph Question Answering: A Survey
by: Su, Miao, et al.
Published: (2024)

Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs
by: Zhang, Yifei, et al.
Published: (2024)

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

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

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

MCTS-KBQA: Monte Carlo Tree Search for Knowledge Base Question Answering
by: Xiong, Guanming, et al.
Published: (2025)

Multimodal Reranking for Knowledge-Intensive Visual Question Answering
by: Wen, Haoyang, et al.
Published: (2024)

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

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

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

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

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

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

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

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

Enhancing Healthcare through Large Language Models: A Study on Medical Question Answering
by: Yu, Haoran, et al.
Published: (2024)

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
by: Yang, Linyao, et al.
Published: (2023)

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

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

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

Fusing Bidirectional Chains of Thought and Reward Mechanisms A Method for Enhancing Question-Answering Capabilities of Large Language Models for Chinese Intangible Cultural Heritage
by: Liu, Ruilin, et al.
Published: (2025)

Attention-guided Evidence Grounding for Spoken Question Answering
by: Yang, Ke, et al.
Published: (2026)

Efficient Multi-Hop Question Answering over Knowledge Graphs via LLM Planning and Embedding-Guided Search
by: Shrestha, Manil, et al.
Published: (2025)

KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering
by: Sun, Yushi, et al.
Published: (2025)

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes
by: Li, Aodi, et al.
Published: (2024)

Multilingual Medical Reasoning for Question Answering with Large Language Models
by: Ferrazzi, Pietro, et al.
Published: (2025)