What can LLMs do for KGs? Or, in other words, what role can KG play in the era of LLMs?

🙌 This repository collects papers integrating knowledge graphs (KGs) and large language models (LLMs).

😎 Welcome to recommend missing papers through Pull Requests.

• 2025-01 We preprint our Paper Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking [Repo].
• 2024-09 Our paper MKGL: Mastery of a Three-Word Language has been accepted by NeurIPS 2024 as a spotlight paper. [Repo]
• 2024-07 Our paper Making Large Language Models Perform Better in Knowledge Graph Completion has been accepted by ACM MM 2024 as an oral paper. [Repo]
• 2024-05 Our paper Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering has been accepted by ACL 2024. [Repo]
• 2024-02 We preprint our Survey Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey [Repo].
• 2023-06 We create this repository to maintain a paper list on Intergrating Knowledge Graphs and Large Language Models.

• 📜 Papers
  • 🔖 Surveys
  • ⚙ Methods
  • 🧰 Resources

• [arxiv] Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey. 2024.02
• [arxiv] Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey. 2023.11
• [arxiv] Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. 2023.10
• [arxiv] On the Evolution of Knowledge Graphs: A Survey and Perspective. 2023.10
• [arxiv] Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle? 2023.09
• [arxiv] Explainability for Large Language Models: A Survey. 2023.09
• [arxiv] Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. 2023.08
• [arxiv] Large Language Models and Knowledge Graphs: Opportunities and Challenges. 2023.08
• [TKDE] Unifying Large Language Models and Knowledge Graphs: A Roadmap. 2023.06 [Repo]
• [arxiv] ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling. 2023.06
• [arxiv] A Survey of Knowledge-Enhanced Pre-trained Language Models. 2023.05

• [arxiv] OntoTune: Ontology-Driven Self-training for Aligning Large Language Models. 2025.2
• [EMNLP 2024 findings] Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering. 2024.11
• [EMNLP 2024 findings] SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions. 2024.11
• [arxiv] Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains. 2024.10
• [arxiv] Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphs. 2024.10
• [NeurIPS 2024] MKGL: Mastery of a Three-Word Language. 2024.10 [Repo]
• [NeurIPS 2024] UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction. 2024.10 [Repo]
• [NeurIPS 2024] KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. 2024.10 [Repo]
• [ICML 2024] Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models. 2024.10 [Repo]
• [ACL 2024] SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs. 2024.09
• [NeurIPS 2024] LLM4EA: Entity Alignment with Noisy Annotations from Large Language Models. 2024.09 [Repo]
• [arxiv] Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs. 2024.07
• [arxiv] GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework. 2024.07
• [arxiv] Think-on-Graph 2.0: Deep and Interpretable Large Language Model Reasoning with Knowledge Graph-guided Retrieval. 2024.07
• [ISWC 2024] Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion. 2024.07
• [ACL 2024 findings] Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. 2024.07
• [arxiv] Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. 2024.07
• [NAACL 2024 findings] GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models. 2024.06
• [ACL 2024 findings] Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. 2024.06
• [arxiv] Efficient Knowledge Infusion via KG-LLM Alignment. 2024.06
• [arxiv] Knowledge Graph Enhanced Retrieval-Augmented Generation for Failure Mode and Effects Analysis. 2024.06
• [arxiv] Knowledge Graph-Enhanced Large Language Models via Path Selection. 2024.06
• [arxiv] Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. 2024.06
• [arxiv] Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models. 2024.06
• [arxiv] UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Model. 2024.06
• [arxiv] Multimodal Reasoning with Multimodal Knowledge Graph. 2024.06
• [arxiv] Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discovery. 2024.06
• [arxiv] EffiQA: Efficient Question-Answering with Strategic Multi-Model Collaboration on Knowledge Graphs. 2024.06
• [arxiv] Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph. 2024.06
• [arxiv] EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling. 2024.06
• [EPJ Data Science] Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models. 2024.06
• [arxiv] DepsRAG: Towards Managing Software Dependencies using Large Language Models. 2024.06 [Repo]
• [arxiv] KNOW: A Real-World Ontology for Knowledge Capture with Large Language Models 2024.05 [Repo]
• [arxiv] HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models 2024.05 [Repo]
• [arxiv] Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language Models 2024.05 [Repo]
• [arxiv] Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction. 2024.05
• [arxiv] SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge. 2024.05
• [arxiv] Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval. 2024.05
• [arxiv] Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts. 2024.05
• [arxiv] DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. 2024.05
• [arxiv] BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models. 2024.05
• [arxiv] AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models. 2024.05
• [arxiv] Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models. 2024.05
• [arxiv] FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering. 2024.05
• [arxiv] Relations Prediction for Knowledge Graph Completion using Large Language Models. 2024.05
• [arxiv] Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph. 2024.05
• [arxiv] Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. 2024.05
• [arxiv] RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models. 2024.05
• [arxiv] PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification. 2024.04
• [arxiv] Multi-hop Question Answering over Knowledge Graphs using Large Language Models. 2024.04
• [arxiv] Automated Construction of Theme-specific Knowledge Graphs. 2024.04
• [arxiv] Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering. 2024.04
• [arxiv] Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models. 2024.04
• [arxiv] KGValidator: A Framework for Automatic Validation of Knowledge Graph Construction. 2024.04
• [arxiv] Context-Enhanced Language Models for Generating Multi-Paper Citations. 2024.04
• [arxiv] Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering. 2024.04
• [arxiv] KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models. 2024.04
• [arxiv] CuriousLLM: Elevating Multi-Document QA with Reasoning-Infused Knowledge Graph Prompting. 2024.04
• [arxiv] ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs. 2024.04
• [arxiv] Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery. 2024.04
• [arxiv] Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. 2024.04
• [arxiv] Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction. 2024.04
• [COLM 2024] Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph. 2024.04
• [arxiv] Construction of Functional Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model. 2024.04
• [arxiv] On Linearizing Structured Data in Encoder-Decoder Language Models: Insights from Text-to-SQL. 2024.04
• [arxiv] Self-Improvement Programming for Temporal Knowledge Graph Question Answering. 2024.04
• [arxiv] A Preliminary Roadmap for LLMs as Assistants in Exploring, Analyzing, and Visualizing Knowledge Graphs. 2024.04
• [arxiv] Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs. 2024.04
• [arxiv] Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing. 2024.04
• [arxiv] EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs. 2024.04
• [arxiv] Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering. 2024.04
• [arxiv] From Local to Global: A Graph RAG Approach to Query-Focused Summarization. 2024.04
• [arxiv] HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses. 2024.04
• [arxiv] KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation. 2024.03
• [LREC-COLING 2024] KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion. 2024.03
• [arxiv] K-Act2Emo: Korean Commonsense Knowledge Graph for Indirect Emotional Expression. 2024.03
• [arxiv] Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification. 2024.03
• [arxiv] Construction of Hyper-Relational Knowledge Graphs Using Pre-Trained Large Language Models. 2024.03
• [arxiv] Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. 2024.03
• [arxiv] From human experts to machines: An LLM supported approach to ontology and knowledge graph construction. 2024.03
• [arxiv] Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs. 2024.03
• [arxiv] Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. 2024.03
• [arxiv] KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. 2024.03
• [arxiv] Advancing Biomedical Text Mining with Community Challenges. 2024.03
• [arxiv] Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations. 2024.03
• [arxiv] Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering. 2024.03
• [arxiv] AceMap: Knowledge Discovery through Academic Graph. 2024.03
• [arxiv] KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection. 2024.03
• [arxiv] Unveiling Hidden Links Between Unseen Security Entities. 2024.03
• [LREC-COLING 2024] Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. 2024.03
• [arxiv] Infusing Knowledge into Large Language Models with Contextual Prompts. 2024.03
• [arxiv] CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge. 2024.03
• [arxiv] Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering. 2024.03
• [arxiv] Automatic Question-Answer Generation for Long-Tail Knowledge. 2024.03
• [arxiv] AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models. 2024.03
• [arxiv] Stepwise Self-Consistent Mathematical Reasoning with Large Language Models. 2024.02
• [arxiv] Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. 2024.02
• [arxiv] Unlocking the Power of Large Language Models for Entity Alignment. 2024.02
• [arxiv] Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning. 2024.02
• [arxiv] Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph. 2024.02
• [arxiv] Knowledge Graph Enhanced Large Language Model Editing. 2024.02
• [arxiv] Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering. 2024.02
• [arxiv] Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge. 2024.02
• [arxiv] LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs. 2024.02
• [arxiv] Counter-intuitive: Large Language Models Can Better Understand Knowledge Graphs Than We Thought. 2024.02
• [arxiv] InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. 2024.02
• [arxiv] Towards Development of Automated Knowledge Maps and Databases for Materials Engineering using Large Language Models. 2024.02
• [arxiv] KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. 2024.02
• [arxiv] PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering. 2024.02
• [arxiv] A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models. 2024.02
• [arxiv] Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering. 2024.02
• [arxiv] G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. 2024.02
• [arxiv] X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Design. 2024.02
• [arxiv] REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models. 2024.02
• [arxiv] GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding. 2024.02
• [arxiv] Let Your Graph Do the Talking: Encoding Structured Data for LLMs. 2024.02
• [arxiv] CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation. 2024.02
• [arxiv] An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration. 2024.02
• [arxiv] SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph. 2024.02
• [arxiv] Interplay of Semantic Communication and Knowledge Learning. 2024.02
• [arxiv] GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models. 2024.02
• [arxiv] Rendering Graphs for Graph Reasoning in Multimodal Large Language Models. 2024.02
• [arxiv] Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis. 2024.02
• [EACL 2024] Contextualization Distillation from Large Language Model for Knowledge Graph Completion. 2024.02
• [EACL 2024] A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation. 2024.02
• [arxiv] Prompt-Time Symbolic Knowledge Capture with Large Language Models. 2024.02 [Repo]
• [arxiv] Effective Bug Detection in Graph Database Engines: An LLM-based Approach. 2024.02
• [arxiv] Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment. 2024.01
• [arxiv] Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs. 2024.01
• [arxiv] Clue-Guided Path Exploration: An Efficient Knowledge Base Question-Answering Framework with Low Computational Resource Consumption. 2024.01
• [AAAI 2024] KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning. 2024.01
• [arxiv] Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context. 2024.01
• [arxiv] Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring. 2024.01
• [arxiv] Distilling Event Sequence Knowledge From Large Language Models. 2024.01
• [ACL 24] Large Language Models Can Learn Temporal Reasoning. 2024.01 [Repo]
• [arxiv] Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion. 2024.01
• [arxiv] TechGPT-2.0: A large language model project to solve the task of knowledge graph construction. 2024.01 [Repo]
• [arxiv] Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs. 2024.01
• [arxiv] The Earth is Flat? Unveiling Factual Errors in Large Language Models. 2024.01
• [arxiv] keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. 2024.01
• [arxiv] Quartet Logic: A Four-Step Reasoning (QLFR) framework for advancing Short Text Classification. 2024.01
• [arxiv] Conversational Question Answering with Reformulations over Knowledge Graph. 2023.12
• [arxiv] Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. 2023.12
• [arxiv] KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph. 2023.12
• [arxiv] Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment. 2023.12
• [arxiv] Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs. 2023.12
• [arxiv] KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know. 2023.12
• [arxiv] LLM-ARK: Knowledge Graph Reasoning Using Large Language Models via Deep Reinforcement Learning. 2023.12
• [arxiv] Towards Trustworthy AI Software Development Assistance. 2023.12
• [arxiv] KnowGPT: Black-Box Knowledge Injection for Large Language Models. 2023.12
• [arxiv] Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation. 2023.12
• [arxiv] Conceptual Engineering Using Large Language Models. 2023.12
• [arxiv] Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction. 2023.12
• [arxiv] Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models. 2023.12
• [arxiv] On Exploring the Reasoning Capability of Large Language Models with Knowledge Graphs. 2023.11
• [arxiv] Biomedical knowledge graph-optimized prompt generation for large language models. 2023.11 [Repo]
• [arxiv] A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interaction. 2023.11
• [EMNLP 2023]Revisiting the Knowledge Injection Frameworks. 2023.12
• [EMNLP 2023]Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models? 2023.12
• [EMNLP 2023]ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. 2023.12
• [EMNLP 2023 Findings]KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion. 2023.12
• [arxiv] $R^3$-NL2GQL: A Hybrid Models Approach for for Accuracy Enhancing and Hallucinations Mitigation. 2023.11
• [arxiv] Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting. 2023.11
• [EMNLP 2023] Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata. 2023.11
• [arxiv] Leveraging LLMs in Scholarly Knowledge Graph Question Answering. 2023.11
• [arxiv] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering. 2023.11
• [arxiv] OLaLa: Ontology Matching with Large Language Models. 2023.11
• [arxiv] In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models. 2023.11
• [arxiv] Let's Discover More API Relations: A Large Language Model-based AI Chain for Unsupervised API Relation Inference. 2023.11
• [arxiv] Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements. 2023.11
• [arxiv] Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. 2023.10
• [arxiv] Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. 2023.10
• [arxiv] Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. 2023.10
• [arxiv] DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. 2023.10
• [arxiv] Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design. 2023.10
• [arxiv] A Multimodal Ecological Civilization Pattern Recommendation Method Based on Large Language Models and Knowledge Graph. 2023.10
• [arxiv] LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery. 2023.10
• [arxiv] Graph Agent: Explicit Reasoning Agent for Graphs. 2023.10
• [arxiv] An In-Context Schema Understanding Method for Knowledge Base Question Answering. 2023.10
• [arxiv] GraphGPT: Graph Instruction Tuning for Large Language Models. 2023.10
• [EMNLP 2023 Findings] Systematic Assessment of Factual Knowledge in Large Language Models. 2023.10
• [EMNLP 2023 Findings] KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models. 2023.10
• [arxiv] MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities. 2023.10
• [arxiv] Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. 2023.10
• [arxiv] ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. 2023.10
• [arxiv] From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer. 2023.10
• [arxiv] Making Large Language Models Perform Better in Knowledge Graph Completion. 2023.10
• [arxiv] CP-KGC: Constrained-Prompt Knowledge Graph Completion with Large Language Models. 2023.10
• [arxiv] PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Model. 2023.10
• [arxiv] InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. 2023.10
• [arxiv] Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. 2023.10
• [ICLR 2024] Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning. 2023.10 [Repo]
• [arxiv] RelBERT: Embedding Relations with Language Models. 2023.10
• [arxiv] Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?. 2023.09
• [arxiv] Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain. 2023.09
• [arxiv] Graph Neural Prompting with Large Language Models. 2023.09
• [arxiv] A knowledge representation approach for construction contract knowledge modeling. 2023.09
• [arxiv] Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering. 2023.09
• [arxiv] "Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs. 2023.09
• [arxiv] FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking. 2023.09
• [arxiv] ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning. 2023.09
• [AAAI 2024] Code-Style In-Context Learning for Knowledge-Based Question Answering. 2023.09
• [arxiv] Unleashing the Power of Graph Learning through LLM-based Autonomous Agents. 2023.09
• [arxiv] Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. 2023.09
• [arxiv] Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs. 2023.09
• [arxiv] Biomedical Entity Linking with Triple-aware Pre-Training. 2023.08
• [arxiv] Exploring Large Language Models for Knowledge Graph Completion. 2023.08 [Repo]
• [arxiv] Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering. 2023.08
• [arxiv] Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. 2023.08
• [arxiv] LKPNR: LLM and KG for Personalized News Recommendation Framework. 2023.08
• [arxiv] Knowledge Graph Prompting for Multi-Document Question Answering. 2023.08
• [arxiv] Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs?. 2023.08
• [arxiv] MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. 2023.08
• [arxiv] Towards Semantically Enriched Embeddings for Knowledge Graph Completion. 2023.07
• [TKDE 2024] AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models. 2023.07
• [arxiv] Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs. 2023.07
• [ICLR 2024] Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. 2023.07
• [SIGKDD 2024 Explorations] Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. 2023.07
• [arxiv] Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. 2023.07
• [arxiv] RecallM: An Architecture for Temporal Context Understanding and Question Answering. 2023.07
• [arxiv] LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT. 2023.07
• [arxiv] Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction. 2023.07
• [arxiv] Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model . 2023.06
• [arxiv] Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering. 2023.06
• [arxiv] Fine-tuning Large Enterprise Language Models via Ontological Reasoning. 2023.06
• [NeurIPS 2023] Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. 2023.05
• [arxiv] Enhancing Knowledge Graph Construction Using Large Language Models. 2023.05
• [arxiv] ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. 2023.05
• [ACL 2023] FactKG: Fact Verification via Reasoning on Knowledge Graphs. 2023.05
• [arxiv] HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. 2023.04
• [EMNLP 2023] StructGPT: A General Framework for Large Language Model to Reason over Structured Data. 2023.05
• [ICLR 2024] Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. 2023.05
• [arxiv] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities. 2023.05 [Repo]
• [NeurIPS 2023] Can Language Models Solve Graph Problems in Natural Language? 2023.05
• [arxiv] Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. 2023.05
• [arxiv] Can large language models generate salient negative statements? 2023.05
• [arxiv] GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking. 2023.05
• [arxiv] Complex Logical Reasoning over Knowledge Graphs using Large Language Models. 2023.05 [Repo]
• [arxiv] Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. 2023.04
• [arxiv] Can large language models build causal graphs? 2023.04
• [arxiv] Using Multiple RDF Knowledge Graphs for Enriching ChatGPT Responses. 2023.04
• [arxiv] Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT. 2023.04
• [arxiv] Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning. 2023.04 [Repo]

• [arxiv] STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. 2024.04 [Repo]
• [arxiv] RareBench: Can LLMs Serve as Rare Diseases Specialists?. 2024.02
• [arxiv] Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs. 2024.01
• [ACL 24] Large Language Models Can Learn Temporal Reasoning. 2024.01 [Repo]
• [arxiv] AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph. 2023.11
• [arxiv] A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases. 2023.11
• [arxiv] Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. 2023.10
• [EMNLP 2023] MarkQA: A large scale KBQA dataset with numerical reasoning. 2023.10
• [CIKM 2023] Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement. 2023.06
• [arxiv] Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. 2023.06
• [AACL 2023 System Demonstrations] LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings 2023.03 [Repo]
• [arxiv] Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. 2023.09
• [arxiv] From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer. 2023.10
• [ISWC 2023] Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text. 2023.08

• ✨ Add a new paper or update an existing KG-related LLM paper.
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If this Repo is helpful to you, please consider citing our paper. We would greatly appreciate it :)

@article{DBLP:journals/corr/abs-2311-06503,
  author       = {Yichi Zhang and
                  Zhuo Chen and
                  Yin Fang and
                  Lei Cheng and
                  Yanxi Lu and
                  Fangming Li and
                  Wen Zhang and
                  Huajun Chen},
  title        = {Knowledgeable Preference Alignment for LLMs in Domain-specific Question
                  Answering},
  journal      = {CoRR},
  volume       = {abs/2311.06503},
  year         = {2023}
}

@article{DBLP:journals/corr/abs-2310-06671,
  author       = {Yichi Zhang and
                  Zhuo Chen and
                  Wen Zhang and
                  Huajun Chen},
  title        = {Making Large Language Models Perform Better in Knowledge Graph Completion},
  journal      = {CoRR},
  volume       = {abs/2310.06671},
  year         = {2023}
}