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KG-LLM-Papers

[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
https://github.com/zjukg/KG-LLM-Papers

Last synced: 2 days ago
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  • 🔔 News

  • Papers

    • Method

      • [arxiv - stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. `2024.02`
      • [arxiv - of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. `2024.07`
      • [NAACL 2024 findings
      • [ACL 2024 findings - stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. `2024.06`
      • [arxiv - LLM Alignment. `2024.06`
      • [arxiv - Augmented Generation for Failure Mode and Effects Analysis. `2024.06`
      • [arxiv - Enhanced Large Language Models via Path Selection. `2024.06`
      • [arxiv - Augmented Large Language Models from Knowledge Graphs. `2024.06`
      • [arxiv
      • [arxiv
      • [arxiv
      • [arxiv
      • [arxiv - Answering with Strategic Multi-Model Collaboration on Knowledge Graphs. `2024.06`
      • [arxiv - LLM Synergy Framework for Reasoning over Knowledge Graph. `2024.06`
      • [arxiv
      • [arxiv
      • [arxiv - World Ontology for Knowledge Capture with Large Language Models `2024.05` \[[Repo](https://github.com/KnowOntology)\]
      • [arxiv - Term Memory for Large Language Models `2024.05` \[[Repo](https://github.com/OSU-NLP-Group/HippoRAG)\]
      • [arxiv - FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. `2024.05`
      • [arxiv - Time Ontology-Driven Symbolic Knowledge Capture with Large Language Models `2024.05` \[[Repo](https://github.com/HaltiaAI/paper-PTODSKC)\]
      • [arxiv - based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction. `2024.05`
      • [arxiv - Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge. `2024.05`
      • [arxiv - Refinement-Enhanced Knowledge Retrieval. `2024.05`
      • [arxiv - tail Facts. `2024.05`
      • [arxiv - Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. `2024.05`
      • [arxiv
      • [arxiv
      • [arxiv - to-Video Models. `2024.05`
      • [arxiv
      • [arxiv
      • [arxiv
      • [arxiv - Aware Curriculum Tuning. `2024.05`
      • [arxiv - based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models. `2024.05`
      • [arxiv - KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification. `2024.04`
      • [arxiv - hop Question Answering over Knowledge Graphs using Large Language Models. `2024.04`
      • [arxiv - specific Knowledge Graphs. `2024.04`
      • [arxiv - NL2GQL: A Hybrid Models Approach for for Accuracy Enhancing and Hallucinations Mitigation. `2023.11`
      • [arxiv - based Retrofitting. `2023.11`
      • [arxiv - of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs. `2024.07`
      • [arxiv - Graph Based LLM Hallucination Evaluation Framework. `2024.07`
      • [arxiv - on-Graph 2.0: Deep and Interpretable Large Language Model Reasoning with Knowledge Graph-guided Retrieval. `2024.07`
      • [ISWC 2024
      • [arxiv - Enhanced Language Models for Generating Multi-Paper Citations. `2024.04`
      • [arxiv
      • [arxiv - CTG: Citation Generation through Knowledge Graph-guided Large Language Models. `2024.04`
      • [arxiv - Document QA with Reasoning-Infused Knowledge Graph Prompting. `2024.04`
      • [arxiv - Driven Agent for integrating LLMs and Knowledge Graphs. `2024.04`
      • [arxiv
      • [arxiv
      • [arxiv - based Framework for Knowledge Graph Construction. `2024.04`
      • [arxiv
      • [arxiv
      • [arxiv - Decoder Language Models: Insights from Text-to-SQL. `2024.04`
      • [arxiv - Improvement Programming for Temporal Knowledge Graph Question Answering. `2024.04`
      • [arxiv
      • [arxiv - Scale Knowledge Graphs. `2024.04`
      • [arxiv
      • [arxiv - centric Knowledge Graphs. `2024.04`
      • [arxiv - on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering. `2024.04`
      • [arxiv - Focused Summarization. `2024.04`
      • [arxiv
      • [arxiv - efficient Finetuning with Knowledgeable Adaptation. `2024.03`
      • [LREC-COLING 2024 - GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion. `2024.03`
      • [arxiv - Act2Emo: Korean Commonsense Knowledge Graph for Indirect Emotional Expression. `2024.03`
      • [arxiv - Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification. `2024.03`
      • [arxiv - Relational Knowledge Graphs Using Pre-Trained Large Language Models. `2024.03`
      • [arxiv
      • [arxiv
      • [arxiv
      • [arxiv - LLM) for Link Prediction. `2024.03`
      • [arxiv - Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. `2024.03`
      • [arxiv
      • [arxiv - Based Explanations of Learning Recommendations. `2024.03`
      • [arxiv - Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering. `2024.03`
      • [arxiv
      • [arxiv - Based Phishing Detection. `2024.03`
      • [arxiv
      • [LREC-COLING 2024 - perspective Improvement of Knowledge Graph Completion with Large Language Models. `2024.03`
      • [arxiv
      • [arxiv - Augmented Generation with Knowledge Graphs for Customer Service Question Answering. `2024.04`
      • [arxiv
      • [arxiv
      • [arxiv - LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge. `2024.03`
      • [arxiv
      • [arxiv - Answer Generation for Long-Tail Knowledge. `2024.03`
      • [arxiv - to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models. `2024.03`
      • [arxiv - Consistent Mathematical Reasoning with Large Language Models. `2024.02`
      • [arxiv
      • [arxiv - of-History Reasoning. `2024.02`
      • [arxiv
      • [arxiv
      • [arxiv - Aware Integration with Large Language Models for Knowledge-based Visual Question Answering. `2024.02`
      • [arxiv - Based Retriever Captures the Long Tail of Biomedical Knowledge. `2024.02`
      • [arxiv - resource Inductive Reasoning on Arbitrary Knowledge Graphs. `2024.02`
      • [arxiv - intuitive: Large Language Models Can Better Understand Knowledge Graphs Than We Thought. `2024.02`
      • [arxiv - Guided Knowledge Integration. `2024.02`
      • [arxiv
      • [arxiv - Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. `2024.02`
      • [arxiv - Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering. `2024.02`
      • [arxiv - shot Link Prediction with Large Language Models. `2024.02`
      • [arxiv - and Multisource- Knowledge Graphs for Open-ended Question Answering. `2024.02`
      • [arxiv - Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. `2024.02`
      • [arxiv - LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Design. `2024.02`
      • [arxiv - Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models. `2024.02`
      • [arxiv
      • [arxiv - Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding. `2024.02`
      • [arxiv
      • [arxiv - Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation. `2024.02`
      • [arxiv - Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration. `2024.02`
      • [arxiv - tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph. `2024.02`
      • [arxiv
      • [arxiv - playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models. `2024.02`
      • [arxiv
      • [arxiv - - Generated Multimodal Diagnosis from Medical Images and Symptom Analysis. `2024.02`
      • [EACL 2024
      • [EACL 2024 - Based Text Generation. `2024.02`
      • [arxiv - Time Symbolic Knowledge Capture with Large Language Models. `2024.02` \[[Repo](https://github.com/HaltiaAI/paper-PTSKC)\]
      • [arxiv - based Approach. `2024.02`
      • [arxiv
      • [arxiv - Guided Path Exploration: An Efficient Knowledge Base Question-Answering Framework with Low Computational Resource Consumption. `2024.01`
      • [AAAI 2024 - CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning. `2024.01`
      • [arxiv - Ended Answer Generation with Graph-Structured Knowledge Context. `2024.01`
      • [arxiv - Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring. `2024.01`
      • [arxiv
      • [arxiv
      • [arxiv - 2.0: A large language model project to solve the task of knowledge graph construction. `2024.01` \[[Repo](https://github.com/neukg/TechGPT-2.0)\]
      • [arxiv
      • [arxiv
      • [arxiv - based question answering is a nature chain-of-thought mentor of LLM. `2024.01`
      • [arxiv - Step Reasoning (QLFR) framework for advancing Short Text Classification. `2024.01`
      • [arxiv
      • [arxiv
      • [arxiv
      • [arxiv - Shot Fact-Checking with Semantic Triples and Knowledge Graphs. `2023.12`
      • [arxiv
      • [arxiv - ARK: Knowledge Graph Reasoning Using Large Language Models via Deep Reinforcement Learning. `2023.12`
      • [arxiv
      • [arxiv - Box Knowledge Injection for Large Language Models. `2023.12`
      • [arxiv
      • [arxiv
      • [arxiv - Agent Synergy for Improving Knowledge Graph Construction. `2023.12`
      • [arxiv - and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models. `2023.12`
      • [arxiv
      • [arxiv - optimized prompt generation for large language models. `2023.11` \[[Repo](https://github.com/BaranziniLab/KG_RAG)\]
      • [arxiv - to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interaction. `2023.11`
      • [EMNLP 2023
      • [EMNLP 2023 - Enhanced Pre-trained Language Models? `2023.12`
      • [EMNLP 2023 - trained Language Models for Question Answering over Knowledge Graph. `2023.12`
      • [EMNLP 2023 Findings
      • [arxiv - Shot Natural Language Generation from Knowledge Graphs. `2023.07`
      • [ICLR 2024 - on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. `2023.07`
      • [SIGKDD 2024 Explorations
      • [arxiv
      • [arxiv
      • [arxiv - assisted Knowledge Graph Engineering: Experiments with ChatGPT. `2023.07`
      • [arxiv - Shot LLM Prompting for Knowledge Graph Construction. `2023.07`
      • [arxiv - scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model
      • [arxiv - Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering. `2023.06`
      • [arxiv - tuning Large Enterprise Language Models via Ontological Reasoning. `2023.06`
      • [NeurIPS 2023 - Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. `2023.05`
      • [EMNLP 2023 Findings - GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models. `2023.10`
      • [arxiv - based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities. `2023.10`
      • [EMNLP 2023 - tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata. `2023.11`
      • [arxiv
      • [arxiv
      • [arxiv - Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models. `2023.11`
      • [arxiv - based AI Chain for Unsupervised API Relation Inference. `2023.11`
      • [arxiv - to-Text Conditional Graph Generation based on Functional Requirements. `2023.11`
      • [arxiv
      • [arxiv - to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. `2023.10`
      • [arxiv - Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. `2023.10`
      • [arxiv - Domain Question Answering over Knowledge Base and Text. `2023.10`
      • [arxiv - augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design. `2023.10`
      • [arxiv
      • [arxiv
      • [arxiv
      • [arxiv - Context Schema Understanding Method for Knowledge Base Question Answering. `2023.10`
      • [arxiv
      • [EMNLP 2023 Findings
      • [arxiv - Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. `2023.10`
      • [arxiv - then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. `2023.10`
      • [arxiv - KGC: Constrained-Prompt Knowledge Graph Completion with Large Language Models. `2023.10`
      • [arxiv
      • [arxiv
      • [arxiv
      • [ICLR 2024 - on-graphs)\]
      • [arxiv
      • [arxiv
      • [arxiv
      • [arxiv
      • [arxiv
      • [arxiv - Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering. `2023.09`
      • [arxiv
      • [arxiv - Following Language Models with External Knowledge for Automated Fact-Checking. `2023.09`
      • [arxiv
      • [AAAI 2024 - Style In-Context Learning for Knowledge-Based Question Answering. `2023.09`
      • [arxiv - based Autonomous Agents. `2023.09`
      • [arxiv - tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. `2023.09`
      • [arxiv
      • [arxiv - aware Pre-Training. `2023.08`
      • [arxiv - llm)\]
      • [arxiv
      • [arxiv
      • [arxiv
      • [arxiv - Document Question Answering. `2023.08`
      • [arxiv - to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs?. `2023.08`
      • [arxiv
      • [arxiv
      • [TKDE 2024
      • [arxiv
      • [arxiv
      • [ACL 2023
      • [arxiv - Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. `2023.04`
      • [EMNLP 2023
      • [ICLR 2024 - to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. `2023.05`
      • [arxiv
      • [NeurIPS 2023
      • [arxiv - shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. `2023.05`
      • [arxiv
      • [arxiv
      • [arxiv - KG-Reasoning/tree/main)\]
      • [arxiv
      • [arxiv
      • [arxiv
      • [arxiv - ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT. `2023.04`
      • [arxiv - shot learning. `2023.04` \[[Repo](https://github.com/monarch-initiative/ontogpt)\]

    • Surveys

    • Resources and Benchmarking

  • Contribution

Categories
Papers 251 🔔 News 4 Contribution 1
Sub Categories
Method 226 Resources and Benchmarking 14 Surveys 11 🎉 Contributing ( welcome ! ) 1