KG-Reasoner: A Reinforced Model for End-to-End Multi-Hop Knowledge Graph Reasoning
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Shuai, Yu, Yinan |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning
por: Wang, Shuai, et al.
Publicado: (2026)
por: Wang, Shuai, et al.
Publicado: (2026)
Topology-Aware Reasoning over Incomplete Knowledge Graph with Graph-Based Soft Prompting
por: Wang, Shuai, et al.
Publicado: (2026)
por: Wang, Shuai, et al.
Publicado: (2026)
AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
por: Tsang, Hong Ting, et al.
Publicado: (2025)
por: Tsang, Hong Ting, et al.
Publicado: (2025)
Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning
por: Chen, Zhuoen, et al.
Publicado: (2026)
por: Chen, Zhuoen, et al.
Publicado: (2026)
MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
por: Yuan, Qianhao, et al.
Publicado: (2025)
por: Yuan, Qianhao, et al.
Publicado: (2025)
Reasoning Court: Combining Reasoning, Action, and Judgment for Multi-Hop Reasoning
por: Wu, Jingtian, et al.
Publicado: (2025)
por: Wu, Jingtian, et al.
Publicado: (2025)
iQUEST: An Iterative Question-Guided Framework for Knowledge Base Question Answering
por: Wang, Shuai, et al.
Publicado: (2025)
por: Wang, Shuai, et al.
Publicado: (2025)
Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning
por: Zhao, Bingchen, et al.
Publicado: (2024)
por: Zhao, Bingchen, et al.
Publicado: (2024)
End-to-End Agentic RAG System Training for Traceable Diagnostic Reasoning
por: Zheng, Qiaoyu, et al.
Publicado: (2025)
por: Zheng, Qiaoyu, et al.
Publicado: (2025)
Knowledge Reasoning Language Model: Unifying Knowledge and Language for Inductive Knowledge Graph Reasoning
por: Zhuo, Xingrui, et al.
Publicado: (2025)
por: Zhuo, Xingrui, et al.
Publicado: (2025)
End-to-End Graph Flattening Method for Large Language Models
por: Hong, Bin, et al.
Publicado: (2024)
por: Hong, Bin, et al.
Publicado: (2024)
KG-TRACES: Enhancing Large Language Models with Knowledge Graph-constrained Trajectory Reasoning and Attribution Supervision
por: Wu, Rong, et al.
Publicado: (2025)
por: Wu, Rong, et al.
Publicado: (2025)
Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis
por: Yadav, Anushka, et al.
Publicado: (2025)
por: Yadav, Anushka, et al.
Publicado: (2025)
OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning
por: Opsahl-Ong, Krista, et al.
Publicado: (2026)
por: Opsahl-Ong, Krista, et al.
Publicado: (2026)
KG-CRAFT: Knowledge Graph-based Contrastive Reasoning with LLMs for Enhancing Automated Fact-checking
por: Lourenço, Vítor N., et al.
Publicado: (2026)
por: Lourenço, Vítor N., et al.
Publicado: (2026)
R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs
por: Jo, Sumin, et al.
Publicado: (2025)
por: Jo, Sumin, et al.
Publicado: (2025)
FinReflectKG -- MultiHop: Financial QA Benchmark for Reasoning with Knowledge Graph Evidence
por: Arun, Abhinav, et al.
Publicado: (2025)
por: Arun, Abhinav, et al.
Publicado: (2025)
Multi-Hop Reasoning for Question Answering with Hyperbolic Representations
por: Welz, Simon, et al.
Publicado: (2025)
por: Welz, Simon, et al.
Publicado: (2025)
HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning
por: Wang, Shenzhi, et al.
Publicado: (2026)
por: Wang, Shenzhi, et al.
Publicado: (2026)
RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy
por: Zhao, Zhonghan, et al.
Publicado: (2025)
por: Zhao, Zhonghan, et al.
Publicado: (2025)
From Query to Logic: Ontology-Driven Multi-Hop Reasoning in LLMs
por: Bian, Haonan, et al.
Publicado: (2025)
por: Bian, Haonan, et al.
Publicado: (2025)
The End of Manual Decoding: Towards Truly End-to-End Language Models
por: Wang, Zhichao, et al.
Publicado: (2025)
por: Wang, Zhichao, et al.
Publicado: (2025)
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
por: Ma, Ying, et al.
Publicado: (2024)
por: Ma, Ying, et al.
Publicado: (2024)
E2E-AFG: An End-to-End Model with Adaptive Filtering for Retrieval-Augmented Generation
por: Jiang, Yun, et al.
Publicado: (2024)
por: Jiang, Yun, et al.
Publicado: (2024)
AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models
por: Cao, Lang, et al.
Publicado: (2024)
por: Cao, Lang, et al.
Publicado: (2024)
KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge Graphs
por: Markowitz, Elan, et al.
Publicado: (2025)
por: Markowitz, Elan, et al.
Publicado: (2025)
Multimodal Reasoning with Multimodal Knowledge Graph
por: Lee, Junlin, et al.
Publicado: (2024)
por: Lee, Junlin, et al.
Publicado: (2024)
Towards Foundation Models for Knowledge Graph Reasoning
por: Galkin, Mikhail, et al.
Publicado: (2023)
por: Galkin, Mikhail, et al.
Publicado: (2023)
Layer-Order Inversion: Rethinking Latent Multi-Hop Reasoning in Large Language Models
por: Liu, Xukai, et al.
Publicado: (2026)
por: Liu, Xukai, et al.
Publicado: (2026)
Reason-Align-Respond: Aligning LLM Reasoning with Knowledge Graphs for KGQA
por: Shen, Xiangqing, et al.
Publicado: (2025)
por: Shen, Xiangqing, et al.
Publicado: (2025)
CreDes: Causal Reasoning Enhancement and Dual-End Searching for Solving Long-Range Reasoning Problems using LLMs
por: Wang, Kangsheng, et al.
Publicado: (2024)
por: Wang, Kangsheng, et al.
Publicado: (2024)
RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA
por: Yang, Ruiyi, et al.
Publicado: (2025)
por: Yang, Ruiyi, et al.
Publicado: (2025)
Leveraging Graph Structures and Large Language Models for End-to-End Synthetic Task-Oriented Dialogues
por: Medjad, Maya, et al.
Publicado: (2025)
por: Medjad, Maya, et al.
Publicado: (2025)
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph
por: Ao, Tu, et al.
Publicado: (2025)
por: Ao, Tu, et al.
Publicado: (2025)
RAG-KG-IL: A Multi-Agent Hybrid Framework for Reducing Hallucinations and Enhancing LLM Reasoning through RAG and Incremental Knowledge Graph Learning Integration
por: Yu, Hong Qing, et al.
Publicado: (2025)
por: Yu, Hong Qing, et al.
Publicado: (2025)
Towards Trustworthy Knowledge Graph Reasoning: An Uncertainty Aware Perspective
por: Ni, Bo, et al.
Publicado: (2024)
por: Ni, Bo, et al.
Publicado: (2024)
Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs
por: Thompson, Travis, et al.
Publicado: (2025)
por: Thompson, Travis, et al.
Publicado: (2025)
Towards Interpreting Language Models: A Case Study in Multi-Hop Reasoning
por: Sakarvadia, Mansi
Publicado: (2024)
por: Sakarvadia, Mansi
Publicado: (2024)
KG-o1: Enhancing Multi-hop Question Answering in Large Language Models via Knowledge Graph Integration
por: Wang, Nan, et al.
Publicado: (2025)
por: Wang, Nan, et al.
Publicado: (2025)
GSQA: An End-to-End Model for Generative Spoken Question Answering
por: Shih, Min-Han, et al.
Publicado: (2023)
por: Shih, Min-Han, et al.
Publicado: (2023)
Ejemplares similares
-
KG-Hopper: Empowering Compact Open LLMs with Knowledge Graph Reasoning via Reinforcement Learning
por: Wang, Shuai, et al.
Publicado: (2026) -
Topology-Aware Reasoning over Incomplete Knowledge Graph with Graph-Based Soft Prompting
por: Wang, Shuai, et al.
Publicado: (2026) -
AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
por: Tsang, Hong Ting, et al.
Publicado: (2025) -
Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning
por: Chen, Zhuoen, et al.
Publicado: (2026) -
MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
por: Yuan, Qianhao, et al.
Publicado: (2025)