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 Adding Issues or Pull Requests.
2024-05Our paper Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering has been accepted by ACL 2024. [Repo]2024-02We preprint our Survey Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey [Repo].2023-10We preprint our paper Making Large Language Models Perform Better in Knowledge Graph Completion and release the [Repo].2023-06We create this repository to maintain a paper list onIntergrating Knowledge Graphs and Large Language Models.
- [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] 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] - [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 - [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] KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge.
2024.05 - [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 - [arxiv] Unveiling LLMs: The Evolution of Latent Representations in a Temporal 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] Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs.
2024.04 - [arxiv] Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs.
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] UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction.
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] Large Language Models Meet Knowledge Graphs to Answer Factoid Questions.
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
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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.
- 🧐 Use the same format as existing entries to describe the work.
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Adding IssuesorPull Requests.
Don't worry if you put something wrong, they will be fixed for you. Just feel free to contribute and promote your awesome work here! 🤩 We'll get back to you in time ~ 😉
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}
}
