https://github.com/zjukg/KG-LLM-Papers
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
https://github.com/zjukg/KG-LLM-Papers
List: KG-LLM-Papers
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[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
- Host: GitHub
- URL: https://github.com/zjukg/KG-LLM-Papers
- Owner: zjukg
- License: mit
- Created: 2023-06-12T03:26:14.000Z (almost 2 years ago)
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- Last Pushed: 2025-01-03T16:12:53.000Z (5 months ago)
- Last Synced: 2025-02-18T10:02:33.945Z (3 months ago)
- Topics: awesome, awesome-kg, awesome-llm, awsome-list, commonsense, gpt, knowledge, knowledge-graph, language-models, large-language-models, llm, nlp, paper-list, prompt, survey
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- Readme: README.md
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README
# KG-LLM-Papers
[](https://github.com/zjukg/KG-LLM-Papers)
[](https://github.com/zjukg/KG-LLM-Papers/blob/main/LICENSE)
>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`**.
## 🔔 News
- **`2025-01` We preprint our Paper [Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking](https://arxiv.org/abs/2501.00244) [[`Repo`](https://github.com/zjukg/SUBARU)].**
- **`2024-09` Our paper [MKGL: Mastery of a Three-Word Language](https://openreview.net/forum?id=eqMNwXvOqn) has been accepted by NeurIPS 2024 as a spotlight paper. [[`Repo`](https://github.com/zjukg/MKGL)]**
- **`2024-07` Our paper [Making Large Language Models Perform Better in Knowledge Graph Completion](https://arxiv.org/abs/2310.06671) has been accepted by ACM MM 2024 as an oral paper. [[`Repo`](https://github.com/zjukg/KoPA)]**
- **`2024-05` Our paper [Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering](https://arxiv.org/abs/2311.06503) has been accepted by ACL 2024. [[`Repo`](https://github.com/zjukg/KnowPAT)]**
- **`2024-02` We preprint our Survey [Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey](http://arxiv.org/abs/2402.05391) [[`Repo`](https://github.com/zjukg/KG-MM-Survey)].**
- **`2023-06` We create this repository to maintain a paper list on `Intergrating Knowledge Graphs and Large Language Models`.**
## Content
- [📜 Papers](#papers)
- [🔖 Surveys](#surveys)
- [⚙ Methods](#methods)
- [🧰 Resources](#resources-and-benchmarking)
---
## Papers
### Surveys
- \[[arxiv](https://arxiv.org/abs/2402.05391)\] Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2311.07914)\] Can Knowledge Graphs Reduce Hallucinations in LLMs? : A Survey. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2310.07521)\] Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.04835)\] On the Evolution of Knowledge Graphs: A Survey and Perspective. `2023.10`
- \[[arxiv](https://arxiv.org/pdf/2309.17122)\] Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle? `2023.09`
- \[[arxiv](https://arxiv.org/abs/2309.01029)\] Explainability for Large Language Models: A Survey. `2023.09`
- \[[arxiv](https://arxiv.org/abs/2308.14217)\] Generations of Knowledge Graphs: The Crazy Ideas and the Business Impact. `2023.08`
- \[[arxiv](https://arxiv.org/abs/2308.06374)\] Large Language Models and Knowledge Graphs: Opportunities and Challenges. `2023.08`
- \[[TKDE](https://arxiv.org/pdf/2306.08302)\] Unifying Large Language Models and Knowledge Graphs: A Roadmap. `2023.06` \[[Repo](https://github.com/RManLuo/Awesome-LLM-KG)\]
- \[[arxiv](https://arxiv.org/pdf/2306.11489.pdf)\] ChatGPT is not Enough: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling. `2023.06`
- \[[arxiv](https://arxiv.org/abs/2211.05994)\] A Survey of Knowledge-Enhanced Pre-trained Language Models. `2023.05`
### Method
- \[[EMNLP 2024 findings](https://aclanthology.org/2024.findings-emnlp.524/)\] Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering. `2024.11`
- \[[EMNLP 2024 findings](https://arxiv.org/abs/2407.11417)\] SPINACH: SPARQL-Based Information Navigation for Challenging Real-World Questions. `2024.11`
- \[[arxiv](https://arxiv.org/pdf/2410.18415)\] Decoding on Graphs: Faithful and Sound Reasoning on Knowledge Graphs through Generation of Well-Formed Chains. `2024.10`
- \[[arxiv](https://arxiv.org/abs/2410.12609)\] Towards Graph Foundation Models: The Perspective of Zero-shot Reasoning on Knowledge Graphs. `2024.10`
- \[[NeurIPS 2024](https://arxiv.org/abs/2410.07526)\] MKGL: Mastery of a Three-Word Language. `2024.10` \[[Repo](https://github.com/zjukg/MKGL)\]
- \[[NeurIPS 2024](https://arxiv.org/abs/2402.06861)\] UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction. `2024.10` \[[Repo](https://github.com/usail-hkust/UrbanKGent)\]
- \[[NeurIPS 2024](https://arxiv.org/abs/2405.16412)\] KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge. `2024.10` \[[Repo](https://github.com/pat-jj/KG-FIT)\]
- \[[ICML 2024](https://openreview.net/forum?id=JCG0KTPVYy)\] Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models. `2024.10` \[[Repo](https://github.com/shiliu-egg/ICML2024_COFT)\]
- \[[ACL 2024](https://arxiv.org/abs/2410.02811)\] SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs. `2024.09`
- \[[NeurIPS 2024](https://arxiv.org/abs/2405.16806)\] LLM4EA: Entity Alignment with Noisy Annotations from Large Language Models. `2024.09` \[[Repo](https://github.com/chensyCN/llm4ea_official)\]
- \[[arxiv](https://arxiv.org/abs/2407.00653)\] Chain-of-Knowledge: Integrating Knowledge Reasoning into Large Language Models by Learning from Knowledge Graphs. `2024.07`
- \[[arxiv](https://arxiv.org/abs/2407.10793)\] GraphEval: A Knowledge-Graph Based LLM Hallucination Evaluation Framework. `2024.07`
- \[[arxiv](https://arxiv.org/abs/2407.10805)\] Think-on-Graph 2.0: Deep and Interpretable Large Language Model Reasoning with Knowledge Graph-guided Retrieval. `2024.07`
- \[[ISWC 2024](https://arxiv.org/abs/2407.16127)\] Finetuning Generative Large Language Models with Discrimination Instructions for Knowledge Graph Completion. `2024.07`
- \[[ACL 2024 findings](https://arxiv.org/abs/2402.16568)\] Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. `2024.07`
- \[[arxiv](https://arxiv.org/abs/2407.21358)\] Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. `2024.07`
- \[[NAACL 2024 findings](https://arxiv.org/abs/2310.07793)\] GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models. `2024.06`
- \[[ACL 2024 findings](https://arxiv.org/abs/2402.11199)\] Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2406.03746)\] Efficient Knowledge Infusion via KG-LLM Alignment. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2406.18114)\] Knowledge Graph Enhanced Retrieval-Augmented Generation for Failure Mode and Effects Analysis. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2406.13862)\] Knowledge Graph-Enhanced Large Language Models via Path Selection. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2406.14282)\] Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2406.02962)\] Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2406.02110)\] UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Model. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2406.02030)\] Multimodal Reasoning with Multimodal Knowledge Graph. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2406.01391)\] Knowledge Graph in Astronomical Research with Large Language Models: Quantifying Driving Forces in Interdisciplinary Scientific Discovery. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2406.01238)\] EffiQA: Efficient Question-Answering with Strategic Multi-Model Collaboration on Knowledge Graphs. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2406.01145)\] Explore then Determine: A GNN-LLM Synergy Framework for Reasoning over Knowledge Graph. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2406.00036)\] EMERGE: Integrating RAG for Improved Multimodal EHR Predictive Modeling. `2024.06`
- \[[EPJ Data Science](https://epjdatascience.springeropen.com/articles/10.1140/epjds/s13688-024-00481-2)\] Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language Models. `2024.06`
- \[[arxiv](https://arxiv.org/abs/2405.20455)\] DepsRAG: Towards Managing Software Dependencies using Large Language Models. `2024.06` \[[Repo](https://github.com/Mohannadcse/DepsRAG)\]
- \[[arxiv](https://arxiv.org/abs/2405.19877)\] KNOW: A Real-World Ontology for Knowledge Capture with Large Language Models `2024.05` \[[Repo](https://github.com/KnowOntology)\]
- \[[arxiv](https://arxiv.org/abs/2405.14831)\] HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models `2024.05` \[[Repo](https://github.com/OSU-NLP-Group/HippoRAG)\]
- \[[arxiv](https://arxiv.org/abs/2405.14012)\] Prompt-Time Ontology-Driven Symbolic Knowledge Capture with Large Language Models `2024.05` \[[Repo](https://github.com/HaltiaAI/paper-PTODSKC)\]
- \[[arxiv](https://arxiv.org/abs/2405.10288)\] Timeline-based Sentence Decomposition with In-Context Learning for Temporal Fact Extraction. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.09713)\] SOK-Bench: A Situated Video Reasoning Benchmark with Aligned Open-World Knowledge. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.06545)\] Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.06524)\] Prompting Large Language Models with Knowledge Graphs for Question Answering Involving Long-tail Facts. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.04819)\] DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.04756)\] BiasKG: Adversarial Knowledge Graphs to Induce Bias in Large Language Models. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.04753)\] AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.04180)\] Sora Detector: A Unified Hallucination Detection for Large Text-to-Video Models. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.03734)\] FOKE: A Personalized and Explainable Education Framework Integrating Foundation Models, Knowledge Graphs, and Prompt Engineering. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.02738)\] Relations Prediction for Knowledge Graph Completion using Large Language Models. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.02105)\] Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.01649)\] Improving Complex Reasoning over Knowledge Graph with Logic-Aware Curriculum Tuning. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2405.00449)\] RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models. `2024.05`
- \[[arxiv](https://arxiv.org/abs/2404.19744)\] PrivComp-KG : Leveraging Knowledge Graph and Large Language Models for Privacy Policy Compliance Verification. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.19234)\] Multi-hop Question Answering over Knowledge Graphs using Large Language Models. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.19146)\] Automated Construction of Theme-specific Knowledge Graphs. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.17723)\] Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.17000)\] Evaluating Class Membership Relations in Knowledge Graphs using Large Language Models. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.15923)\] KGValidator: A Framework for Automatic Validation of Knowledge Graph Construction. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.13865)\] Context-Enhanced Language Models for Generating Multi-Paper Citations. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.10384)\] Reasoning on Efficient Knowledge Paths:Knowledge Graph Guides Large Language Model for Domain Question Answering. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.09763)\] KG-CTG: Citation Generation through Knowledge Graph-guided Large Language Models. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.09077)\] CuriousLLM: Elevating Multi-Document QA with Reasoning-Infused Knowledge Graph Prompting. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.07677)\] ODA: Observation-Driven Agent for integrating LLMs and Knowledge Graphs. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.06571)\] Building A Knowledge Graph to Enrich ChatGPT Responses in Manufacturing Service Discovery. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.04264)\] Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.03868)\] Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction. `2024.04`
- \[[COLM 2024](https://openreview.net/forum?id=dWYRjT501w)\] Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.03080)\] Construction of Functional Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.02389)\] On Linearizing Structured Data in Encoder-Decoder Language Models: Insights from Text-to-SQL. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.01720)\] Self-Improvement Programming for Temporal Knowledge Graph Question Answering. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.01425)\] A Preliminary Roadmap for LLMs as Assistants in Exploring, Analyzing, and Visualizing Knowledge Graphs. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.00942)\] Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.00589)\] Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.00209)\] EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.14741)\] Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2404.16130)\] From Local to Global: A Graph RAG Approach to Query-Focused Summarization. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2312.15883)\] HyKGE: A Hypothesis Knowledge Graph Enhanced Framework for Accurate and Reliable Medical LLMs Responses. `2024.04`
- \[[arxiv](https://arxiv.org/abs/2403.14950)\] KnowLA: Enhancing Parameter-efficient Finetuning with Knowledgeable Adaptation. `2024.03`
- \[[LREC-COLING 2024](https://arxiv.org/abs/2403.17532)\] KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.14253)\] K-Act2Emo: Korean Commonsense Knowledge Graph for Indirect Emotional Expression. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.12151)\] Fusing Domain-Specific Content from Large Language Models into Knowledge Graphs for Enhanced Zero Shot Object State Classification. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.11786)\] Construction of Hyper-Relational Knowledge Graphs Using Pre-Trained Large Language Models. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.08593)\] Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.08345)\] From human experts to machines: An LLM supported approach to ontology and knowledge graph construction. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.07398)\] Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.07311)\] Knowledge Graph Large Language Model (KG-LLM) for Link Prediction. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.05881)\] KG-Rank: Enhancing Large Language Models for Medical QA with Knowledge Graphs and Ranking Techniques. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.04261)\] Advancing Biomedical Text Mining with Community Challenges. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.03008)\] Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.02966)\] Evidence-Focused Fact Summarization for Knowledge-Augmented Zero-Shot Question Answering. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.02576)\] AceMap: Knowledge Discovery through Academic Graph. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.02253)\] KnowPhish: Large Language Models Meet Multimodal Knowledge Graphs for Enhancing Reference-Based Phishing Detection. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.02014)\] Unveiling Hidden Links Between Unseen Security Entities. `2024.03`
- \[[LREC-COLING 2024](https://arxiv.org/abs/2403.01972)\] Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.01481)\] Infusing Knowledge into Large Language Models with Contextual Prompts. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.01395)\] CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.01390)\] Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.01382)\] Automatic Question-Answer Generation for Long-Tail Knowledge. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2403.00953)\] AutoRD: An Automatic and End-to-End System for Rare Disease Knowledge Graph Construction Based on Ontologies-enhanced Large Language Models. `2024.03`
- \[[arxiv](https://arxiv.org/abs/2402.17786)\] Stepwise Self-Consistent Mathematical Reasoning with Large Language Models. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.16568)\] Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.15048)\] Unlocking the Power of Large Language Models for Entity Alignment. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.14382)\] Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.13750)\] Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.13593)\] Knowledge Graph Enhanced Large Language Model Editing. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.12728)\] Modality-Aware Integration with Large Language Models for Knowledge-based Visual Question Answering. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.12352)\] Graph-Based Retriever Captures the Long Tail of Biomedical Knowledge. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.11804)\] LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.11541)\] Counter-intuitive: Large Language Models Can Better Understand Knowledge Graphs Than We Thought. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.11441)\] InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.11323)\] Towards Development of Automated Knowledge Maps and Databases for Materials Engineering using Large Language Models. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.11163)\] KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.11034)\] PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.10779)\] A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.09911)\] Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.07630)\] G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.07148)\] X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Design. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.07016)\] REALM: RAG-Driven Enhancement of Multimodal Electronic Health Records Analysis via Large Language Models. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.06764)\] GLaM: Fine-Tuning Large Language Models for Domain Knowledge Graph Alignment via Neighborhood Partitioning and Generative Subgraph Encoding. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.05862)\] Let Your Graph Do the Talking: Encoding Structured Data for LLMs. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.05135)\] CADReN: Contextual Anchor-Driven Relational Network for Controllable Cross-Graphs Node Importance Estimation. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.04978)\] An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.04627)\] SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.03339)\] Interplay of Semantic Communication and Knowledge Learning. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.03299)\] GUARD: Role-playing to Generate Natural-language Jailbreakings to Test Guideline Adherence of Large Language Models. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.02130)\] Rendering Graphs for Graph Reasoning in Multimodal Large Language Models. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.01730)\] Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis. `2024.02`
- \[[EACL 2024](https://arxiv.org/abs/2402.01729)\] Contextualization Distillation from Large Language Model for Knowledge Graph Completion. `2024.02`
- \[[EACL 2024](https://arxiv.org/abs/2402.01495)\] A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2402.00414)\] Prompt-Time Symbolic Knowledge Capture with Large Language Models. `2024.02` \[[Repo](https://github.com/HaltiaAI/paper-PTSKC)\]
- \[[arxiv](https://arxiv.org/abs/2402.00292)\] Effective Bug Detection in Graph Database Engines: An LLM-based Approach. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2401.16960)\] Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment. `2024.01`
- \[[arxiv](https://arxiv.org/abs/2401.14640)\] Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs. `2024.01`
- \[[arxiv](https://arxiv.org/abs/2401.13444)\] Clue-Guided Path Exploration: An Efficient Knowledge Base Question-Answering Framework with Low Computational Resource Consumption. `2024.01`
- \[[AAAI 2024](https://arxiv.org/abs/2401.12863)\] KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning. `2024.01`
- \[[arxiv](https://arxiv.org/abs/2401.12671)\] Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context. `2024.01`
- \[[arxiv](https://arxiv.org/abs/2401.08517)\] Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring. `2024.01`
- \[[arxiv](https://arxiv.org/abs/2401.07237)\] Distilling Event Sequence Knowledge From Large Language Models. `2024.01`
- \[[ACL 24](https://arxiv.org/abs/2401.06853)\] Large Language Models Can Learn Temporal Reasoning. `2024.01` \[[Repo](https://github.com/xiongsiheng/TG-LLM)\]
- \[[arxiv](https://arxiv.org/abs/2401.06072)\] Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion. `2024.01`
- \[[arxiv](https://arxiv.org/abs/2401.04507)\] TechGPT-2.0: A large language model project to solve the task of knowledge graph construction. `2024.01` \[[Repo](https://github.com/neukg/TechGPT-2.0)\]
- \[[arxiv](https://arxiv.org/abs/2401.01711)\] Evaluating Large Language Models in Semantic Parsing for Conversational Question Answering over Knowledge Graphs. `2024.01`
- \[[arxiv](https://arxiv.org/abs/2401.00761)\] The Earth is Flat? Unveiling Factual Errors in Large Language Models. `2024.01`
- \[[arxiv](https://arxiv.org/abs/2401.00426)\] keqing: knowledge-based question answering is a nature chain-of-thought mentor of LLM. `2024.01`
- \[[arxiv](https://arxiv.org/abs/2401.03158)\] Quartet Logic: A Four-Step Reasoning (QLFR) framework for advancing Short Text Classification. `2024.01`
- \[[arxiv](https://arxiv.org/abs/2312.17269)\] Conversational Question Answering with Reformulations over Knowledge Graph. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.15883)\] Think and Retrieval: A Hypothesis Knowledge Graph Enhanced Medical Large Language Models. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.15880)\] KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.11813)\] Urban Generative Intelligence (UGI): A Foundational Platform for Agents in Embodied City Environment. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.11785)\] Zero-Shot Fact-Checking with Semantic Triples and Knowledge Graphs. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.11539)\] KGLens: A Parameterized Knowledge Graph Solution to Assess What an LLM Does and Doesn't Know. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.11282)\] LLM-ARK: Knowledge Graph Reasoning Using Large Language Models via Deep Reinforcement Learning. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.09126)\] Towards Trustworthy AI Software Development Assistance. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.06185)\] KnowGPT: Black-Box Knowledge Injection for Large Language Models. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.05276)\] Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.03749)\] Conceptual Engineering Using Large Language Models. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.03022)\] Beyond Isolation: Multi-Agent Synergy for Improving Knowledge Graph Construction. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.01954)\] Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2312.00353)\] On Exploring the Reasoning Capability of Large Language Models with Knowledge Graphs. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2311.17330)\] Biomedical knowledge graph-optimized prompt generation for large language models. `2023.11` \[[Repo](https://github.com/BaranziniLab/KG_RAG)\]
- \[[arxiv](https://arxiv.org/abs/2311.16137)\] A Graph-to-Text Approach to Knowledge-Grounded Response Generation in Human-Robot Interaction. `2023.11`
- \[[EMNLP 2023](http://arxiv.org/abs/2311.01150)\]Revisiting the Knowledge Injection Frameworks. `2023.12`
- \[[EMNLP 2023](https://aclanthology.org/2023.emnlp-main.143)\]Does the Correctness of Factual Knowledge Matter for Factual Knowledge-Enhanced Pre-trained Language Models? `2023.12`
- \[[EMNLP 2023](https://aclanthology.org/2023.emnlp-main.228/)\]ReasoningLM: Enabling Structural Subgraph Reasoning in Pre-trained Language Models for Question Answering over Knowledge Graph. `2023.12`
- \[[EMNLP 2023 Findings](https://aclanthology.org/2023.findings-emnlp.580/)\]KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completion. `2023.12`
- \[[arxiv](https://arxiv.org/abs/2311.01862)\] $R^3$-NL2GQL: A Hybrid Models Approach for for Accuracy Enhancing and Hallucinations Mitigation. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2311.13314)\] Mitigating Large Language Model Hallucinations via Autonomous Knowledge Graph-based Retrofitting. `2023.11`
- \[[EMNLP 2023](https://arxiv.org/abs/2305.14202)\] Fine-tuned LLMs Know More, Hallucinate Less with Few-Shot Sequence-to-Sequence Semantic Parsing over Wikidata. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2311.09841)\] Leveraging LLMs in Scholarly Knowledge Graph Question Answering. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2311.06503)\] Knowledgeable Preference Alignment for LLMs in Domain-specific Question Answering. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2311.03837)\] OLaLa: Ontology Matching with Large Language Models. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2311.02956)\] In-Context Learning for Knowledge Base Question Answering for Unmanned Systems based on Large Language Models. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2311.01266)\] Let's Discover More API Relations: A Large Language Model-based AI Chain for Unsupervised API Relation Inference. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2311.00444)\] Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2310.02166)\] Large Language Models Meet Knowledge Graphs to Answer Factoid Questions. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.07008)\] Answer Candidate Type Selection: Text-to-Text Language Model for Closed Book Question Answering Meets Knowledge Graphs. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2311.00287)\] Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.20170)\] DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.19998)\] Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.18951)\] A Multimodal Ecological Civilization Pattern Recommendation Method Based on Large Language Models and Knowledge Graph. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.18356)\] LoRAShear: Efficient Large Language Model Structured Pruning and Knowledge Recovery. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.16421)\] Graph Agent: Explicit Reasoning Agent for Graphs. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.14174)\] An In-Context Schema Understanding Method for Knowledge Base Question Answering. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.13023)\] GraphGPT: Graph Instruction Tuning for Large Language Models. `2023.10`
- \[[EMNLP 2023 Findings](https://arxiv.org/abs/2310.11638)\] Systematic Assessment of Factual Knowledge in Large Language Models. `2023.10`
- \[[EMNLP 2023 Findings](https://arxiv.org/abs/2310.11220)\] KG-GPT: A General Framework for Reasoning on Knowledge Graphs Using Large Language Models. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.10445)\] MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.09089)\] Qilin-Med: Multi-stage Knowledge Injection Advanced Medical Large Language Model. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.08975)\] ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.08365)\] From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.06671)\] Making Large Language Models Perform Better in Knowledge Graph Completion. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.08279)\] CP-KGC: Constrained-Prompt Knowledge Graph Completion with Large Language Models. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.07170)\] PHALM: Building a Knowledge Graph from Scratch by Prompting Humans and a Language Model. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.03269)\] InstructProtein: Aligning Human and Protein Language via Knowledge Instruction. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2310.01290)\] Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models. `2023.10`
- \[[ICLR 2024](https://arxiv.org/abs/2310.01061)\] Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning. `2023.10` \[[Repo](https://github.com/RManLuo/reasoning-on-graphs)\]
- \[[arxiv](https://arxiv.org/abs/2310.00299)\] RelBERT: Embedding Relations with Language Models. `2023.10`
- \[[arxiv](https://arxiv.org/abs/2309.17122)\] Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?. `2023.09`
- \[[arxiv](https://arxiv.org/pdf/2309.16134)\] Let's Chat to Find the APIs: Connecting Human, LLM and Knowledge Graph through AI Chain. `2023.09`
- \[[arxiv](https://arxiv.org/pdf/2309.15427)\] Graph Neural Prompting with Large Language Models. `2023.09`
- \[[arxiv](https://arxiv.org/abs/2309.12132)\] A knowledge representation approach for construction contract knowledge modeling. `2023.09`
- \[[arxiv](https://arxiv.org/abs/2309.11206)\] Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering. `2023.09`
- \[[arxiv](https://arxiv.org/abs/2309.08594)\] "Merge Conflicts!" Exploring the Impacts of External Distractors to Parametric Knowledge Graphs. `2023.09`
- \[[arxiv](https://arxiv.org/abs/2309.00240)\] FactLLaMA: Optimizing Instruction-Following Language Models with External Knowledge for Automated Fact-Checking. `2023.09`
- \[[arxiv](https://arxiv.org/pdf/2309.01538)\] ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning. `2023.09`
- \[[AAAI 2024](https://arxiv.org/abs/2309.04695)\] Code-Style In-Context Learning for Knowledge-Based Question Answering. `2023.09`
- \[[arxiv](https://arxiv.org/abs/2309.04565)\] Unleashing the Power of Graph Learning through LLM-based Autonomous Agents. `2023.09`
- \[[arxiv](https://arxiv.org/abs/2309.04175)\] Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese. `2023.09`
- \[[arxiv](https://arxiv.org/abs/2309.03118)\] Knowledge Solver: Teaching LLMs to Search for Domain Knowledge from Knowledge Graphs. `2023.09`
- \[[arxiv](https://arxiv.org/abs/2308.14429)\] Biomedical Entity Linking with Triple-aware Pre-Training. `2023.08`
- \[[arxiv](https://arxiv.org/abs/2308.13916)\] Exploring Large Language Models for Knowledge Graph Completion. `2023.08` \[[Repo](https://github.com/yao8839836/kg-llm)\]
- \[[arxiv](https://arxiv.org/abs/2308.16622)\] Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering. `2023.08`
- \[[arxiv](https://arxiv.org/abs/2308.14321)\] Leveraging A Medical Knowledge Graph into Large Language Models for Diagnosis Prediction. `2023.08`
- \[[arxiv](https://arxiv.org/abs/2308.12028)\] LKPNR: LLM and KG for Personalized News Recommendation Framework. `2023.08`
- \[[arxiv](https://arxiv.org/abs/2308.11730)\] Knowledge Graph Prompting for Multi-Document Question Answering. `2023.08`
- \[[arxiv](https://arxiv.org/abs/2308.10168)\] Head-to-Tail: How Knowledgeable are Large Language Models (LLM)? A.K.A. Will LLMs Replace Knowledge Graphs?. `2023.08`
- \[[arxiv](https://arxiv.org/abs/2308.09729)\] MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models. `2023.08`
- \[[arxiv](https://arxiv.org/abs/2308.00081)\] Towards Semantically Enriched Embeddings for Knowledge Graph Completion. `2023.07`
- \[[TKDE 2024](https://arxiv.org/abs/2307.11772)\] AutoAlign: Fully Automatic and Effective Knowledge Graph Alignment enabled by Large Language Models. `2023.07`
- \[[arxiv](https://arxiv.org/abs/2307.07312)\] Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs. `2023.07`
- \[[ICLR 2024](https://arxiv.org/abs/2307.07697)\] Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph. `2023.07`
- \[[SIGKDD 2024 Explorations](https://arxiv.org/abs/2307.03393)\] Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. `2023.07`
- \[[arxiv](https://arxiv.org/abs/2307.05722)\] Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. `2023.07`
- \[[arxiv](https://arxiv.org/abs/2307.02738)\] RecallM: An Architecture for Temporal Context Understanding and Question Answering. `2023.07`
- \[[arxiv](https://arxiv.org/abs/2307.06917)\] LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT. `2023.07`
- \[[arxiv](https://arxiv.org/abs/2307.01128)\] Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction. `2023.07`
- \[[arxiv](https://arxiv.org/abs/2306.10241)\] Snowman: A Million-scale Chinese Commonsense Knowledge Graph Distilled from Foundation Model
. `2023.06`
- \[[arxiv](https://arxiv.org/pdf/2306.04136.pdf)\] Knowledge-Augmented Language Model Prompting for Zero-Shot Knowledge Graph Question Answering. `2023.06`
- \[[arxiv](https://arxiv.org/abs/2306.10723)\] Fine-tuning Large Enterprise Language Models via Ontological Reasoning. `2023.06`
- \[[NeurIPS 2023](https://arxiv.org/abs/2305.18395)\] Knowledge-Augmented Reasoning Distillation for Small Language Models in Knowledge-Intensive Tasks. `2023.05`
- \[[arxiv](https://arxiv.org/pdf/2305.04676)\] Enhancing Knowledge Graph Construction Using Large Language Models. `2023.05`
- \[[arxiv](https://arxiv.org/abs/2305.03513)\] ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. `2023.05`
- \[[ACL 2023](https://arxiv.org/abs/2305.06590)\] FactKG: Fact Verification via Reasoning on Knowledge Graphs. `2023.05`
- \[[arxiv](https://arxiv.org/abs/2304.05973)\] HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting. `2023.04`
- \[[EMNLP 2023](https://arxiv.org/abs/2305.09645)\] StructGPT: A General Framework for Large Language Model to Reason over Structured Data. `2023.05`
- \[[ICLR 2024](https://arxiv.org/abs/2305.19523)\] Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning. `2023.05`
- \[[arxiv](https://arxiv.org/abs/2305.13168)\] LLMs for Knowledge Graph Construction and Reasoning: Recent Capabilities and Future Opportunities. `2023.05` \[[Repo](https://github.com/zjunlp/AutoKG)\]
- \[[NeurIPS 2023](https://arxiv.org/abs/2305.10037)\] Can Language Models Solve Graph Problems in Natural Language? `2023.05`
- \[[arxiv](https://arxiv.org/abs/2305.09858)\] Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. `2023.05`
- \[[arxiv](https://arxiv.org/abs/2305.16755)\] Can large language models generate salient negative statements? `2023.05`
- \[[arxiv](https://arxiv.org/abs/2305.15066)\] GPT4Graph: Can Large Language Models Understand Graph Structured Data ? An Empirical Evaluation and Benchmarking. `2023.05`
- \[[arxiv](https://arxiv.org/abs/2305.01157)\] Complex Logical Reasoning over Knowledge Graphs using Large Language Models. `2023.05` \[[Repo](https://github.com/Akirato/LLM-KG-Reasoning/tree/main)\]
- \[[arxiv](https://arxiv.org/abs/2305.00050)\] Causal Reasoning and Large Language Models: Opening a New Frontier for Causality. `2023.04`
- \[[arxiv](https://arxiv.org/abs/2303.05279)\] Can large language models build causal graphs? `2023.04`
- \[[arxiv](https://arxiv.org/abs/2304.05774)\] Using Multiple RDF Knowledge Graphs for Enriching ChatGPT Responses. `2023.04`
- \[[arxiv](https://arxiv.org/abs/2304.11116)\] Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT. `2023.04`
- \[[arxiv](https://arxiv.org/abs/2304.02711)\] Structured prompt interrogation and recursive extraction of semantics (SPIRES): A method for populating knowledge bases using zero-shot learning. `2023.04` \[[Repo](https://github.com/monarch-initiative/ontogpt)\]
### Resources and Benchmarking
- \[[arxiv](https://arxiv.org/abs/2404.13207)\] STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. `2024.04` \[[Repo](https://github.com/snap-stanford/stark)\]
- \[[arxiv](https://arxiv.org/abs/2402.06341)\] RareBench: Can LLMs Serve as Rare Diseases Specialists?. `2024.02`
- \[[arxiv](https://arxiv.org/abs/2401.14640)\] Benchmarking Large Language Models in Complex Question Answering Attribution using Knowledge Graphs. `2024.01`
- \[[ACL 24](https://arxiv.org/abs/2401.06853)\] Large Language Models Can Learn Temporal Reasoning. `2024.01` \[[Repo](https://github.com/xiongsiheng/TG-LLM)\]
- \[[arxiv](https://arxiv.org/abs/2311.09174)\] AbsPyramid: Benchmarking the Abstraction Ability of Language Models with a Unified Entailment Graph. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2311.07509)\] A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases. `2023.11`
- \[[arxiv](https://arxiv.org/abs/2310.05634)\] Towards Verifiable Generation: A Benchmark for Knowledge-aware Language Model Attribution. `2023.10`
- \[[EMNLP 2023](https://arxiv.org/abs/2310.15517)\] MarkQA: A large scale KBQA dataset with numerical reasoning. `2023.10`
- \[[CIKM 2023](https://arxiv.org/abs/2306.14704)\] Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement. `2023.06`
- \[[arxiv](https://arxiv.org/abs/2306.05783)\] Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation. `2023.06`
- \[[AACL 2023 System Demonstrations](https://arxiv.org/abs/2210.00305)\] LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph Embeddings `2023.03` \[[Repo](http://47.92.96.190:9001/)\]
- \[[arxiv](https://arxiv.org/abs/2309.11669)\] Construction of Paired Knowledge Graph-Text Datasets Informed by Cyclic Evaluation. `2023.09`
- \[[arxiv](https://arxiv.org/abs/2310.08365)\] From Large Language Models to Knowledge Graphs for Biomarker Discovery in Cancer. `2023.10`
- \[[ISWC 2023](https://arxiv.org/abs/2308.02357)\] Text2KGBench: A Benchmark for Ontology-Driven Knowledge Graph Generation from Text. `2023.08`
## Contribution
### 👥 Contributors
### 🎉 Contributing ( welcome ! )
- ✨ Add a new paper or update an existing KG-related LLM paper.
- 🧐 Use the same format as existing entries to describe the work.
- 😄 A very brief explanation why you think a paper should be added or updated is recommended (Not Neccessary) via **`Adding Issues`** or **`Pull 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 ~ 😉**
## 🤝 Cite:
If this Repo is helpful to you, please consider citing our paper. We would greatly appreciate it :)
```bigquery
@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}
}
```
```bigquery
@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}
}
```