Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
Fuente:
arXiv
Guardado en:
| Autores principales: | Sun, Jiashuo, Xu, Chengjin, Tang, Lumingyuan, Wang, Saizhuo, Lin, Chen, Gong, Yeyun, Ni, Lionel M., Shum, Heung-Yeung, Guo, Jian |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
On the Evolution of Knowledge Graphs: A Survey and Perspective
por: Jiang, Xuhui, et al.
Publicado: (2023)
por: Jiang, Xuhui, et al.
Publicado: (2023)
Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
por: Wang, Saizhuo, et al.
Publicado: (2023)
por: Wang, Saizhuo, et al.
Publicado: (2023)
Large Investment Model
por: Guo, Jian, et al.
Publicado: (2024)
por: Guo, Jian, et al.
Publicado: (2024)
Context Graph
por: Xu, Chengjin, et al.
Publicado: (2024)
por: Xu, Chengjin, et al.
Publicado: (2024)
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
por: Ma, Shengjie, et al.
Publicado: (2024)
por: Ma, Shengjie, et al.
Publicado: (2024)
QuantAgent: Seeking Holy Grail in Trading by Self-Improving Large Language Model
por: Wang, Saizhuo, et al.
Publicado: (2024)
por: Wang, Saizhuo, et al.
Publicado: (2024)
APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning
por: Sun, Jiashuo, et al.
Publicado: (2022)
por: Sun, Jiashuo, et al.
Publicado: (2022)
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models
por: Luo, Yi, et al.
Publicado: (2024)
por: Luo, Yi, et al.
Publicado: (2024)
Enhancing Chain-of-Thoughts Prompting with Iterative Bootstrapping in Large Language Models
por: Sun, Jiashuo, et al.
Publicado: (2023)
por: Sun, Jiashuo, et al.
Publicado: (2023)
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval
por: Wu, Xiaojun, et al.
Publicado: (2025)
por: Wu, Xiaojun, et al.
Publicado: (2025)
Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models
por: Ma, Shengjie, et al.
Publicado: (2025)
por: Ma, Shengjie, et al.
Publicado: (2025)
Learning to Ponder: Adaptive Reasoning in Latent Space
por: He, Yixin, et al.
Publicado: (2025)
por: He, Yixin, et al.
Publicado: (2025)
Conflicts Make Large Reasoning Models Vulnerable to Attacks
por: Liu, Honghao, et al.
Publicado: (2026)
por: Liu, Honghao, et al.
Publicado: (2026)
From Deep Learning to LLMs: A survey of AI in Quantitative Investment
por: Cao, Bokai, et al.
Publicado: (2025)
por: Cao, Bokai, et al.
Publicado: (2025)
DeepThink: Aligning Language Models with Domain-Specific User Intents
por: Li, Yang, et al.
Publicado: (2025)
por: Li, Yang, et al.
Publicado: (2025)
GraphSearch: An Agentic Deep Searching Workflow for Graph Retrieval-Augmented Generation
por: Yang, Cehao, et al.
Publicado: (2025)
por: Yang, Cehao, et al.
Publicado: (2025)
Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
por: Luo, Linhao, et al.
Publicado: (2024)
por: Luo, Linhao, et al.
Publicado: (2024)
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion
por: Li, Muzhi, et al.
Publicado: (2024)
por: Li, Muzhi, et al.
Publicado: (2024)
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning
por: Li, Muzhi, et al.
Publicado: (2024)
por: Li, Muzhi, et al.
Publicado: (2024)
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph
por: Liang, Xujian, et al.
Publicado: (2025)
por: Liang, Xujian, et al.
Publicado: (2025)
CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation
por: Wang, Jiashuo, et al.
Publicado: (2022)
por: Wang, Jiashuo, et al.
Publicado: (2022)
Financial Knowledge Large Language Model
por: Yang, Cehao, et al.
Publicado: (2024)
por: Yang, Cehao, et al.
Publicado: (2024)
LazyDrag: Enabling Stable Drag-Based Editing on Multi-Modal Diffusion Transformers via Explicit Correspondence
por: Yin, Zixin, et al.
Publicado: (2025)
por: Yin, Zixin, et al.
Publicado: (2025)
Temporal Reasoning with Large Language Models Augmented by Evolving Knowledge Graphs
por: Lin, Junhong, et al.
Publicado: (2025)
por: Lin, Junhong, et al.
Publicado: (2025)
Search-on-Graph: Iterative Informed Navigation for Large Language Model Reasoning on Knowledge Graphs
por: Sun, Jia Ao, et al.
Publicado: (2025)
por: Sun, Jia Ao, et al.
Publicado: (2025)
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations
por: Wang, Song, et al.
Publicado: (2025)
por: Wang, Song, et al.
Publicado: (2025)
GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph Thinking
por: Cheng, Zixu, et al.
Publicado: (2026)
por: Cheng, Zixu, et al.
Publicado: (2026)
KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph
por: Guo, Tiezheng, et al.
Publicado: (2023)
por: Guo, Tiezheng, et al.
Publicado: (2023)
Improving Data and Reward Design for Scientific Reasoning in Large Language Models
por: Chen, Zijie, et al.
Publicado: (2026)
por: Chen, Zijie, et al.
Publicado: (2026)
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
por: Hu, Jingcheng, et al.
Publicado: (2025)
por: Hu, Jingcheng, et al.
Publicado: (2025)
Knowledge Distillation for Temporal Knowledge Graph Reasoning with Large Language Models
por: Xing, Wang, et al.
Publicado: (2026)
por: Xing, Wang, et al.
Publicado: (2026)
Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning
por: Tan, Xingyu, et al.
Publicado: (2024)
por: Tan, Xingyu, et al.
Publicado: (2024)
Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning
por: Park, Sungjin, et al.
Publicado: (2024)
por: Park, Sungjin, et al.
Publicado: (2024)
RTQA : Recursive Thinking for Complex Temporal Knowledge Graph Question Answering with Large Language Models
por: Gong, Zhaoyan, et al.
Publicado: (2025)
por: Gong, Zhaoyan, et al.
Publicado: (2025)
Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models
por: Wu, Xiaojun, et al.
Publicado: (2024)
por: Wu, Xiaojun, et al.
Publicado: (2024)
Alpha-GPT 2.0: Human-in-the-Loop AI for Quantitative Investment
por: Yuan, Hang, et al.
Publicado: (2024)
por: Yuan, Hang, et al.
Publicado: (2024)
Guided Learning: Lubricating End-to-End Modeling for Multi-stage Decision-making
por: Guo, Jian, et al.
Publicado: (2024)
por: Guo, Jian, 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)
Continual Pretraining on Encrypted Synthetic Data for Privacy-Preserving LLMs
por: Liu, Honghao, et al.
Publicado: (2026)
por: Liu, Honghao, et al.
Publicado: (2026)
Mario: Multimodal Graph Reasoning with Large Language Models
por: Sun, Yuanfu, et al.
Publicado: (2026)
por: Sun, Yuanfu, et al.
Publicado: (2026)
Ejemplares similares
-
On the Evolution of Knowledge Graphs: A Survey and Perspective
por: Jiang, Xuhui, et al.
Publicado: (2023) -
Alpha-GPT: Human-AI Interactive Alpha Mining for Quantitative Investment
por: Wang, Saizhuo, et al.
Publicado: (2023) -
Large Investment Model
por: Guo, Jian, et al.
Publicado: (2024) -
Context Graph
por: Xu, Chengjin, et al.
Publicado: (2024) -
Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation
por: Ma, Shengjie, et al.
Publicado: (2024)