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Knowledge Graphs

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하위 태스크: 5
평가표: 4
보존된 평가 기록: 19

A knowledge graph is a structured representation of information that organizes data into nodes (entities) and edges (relationships) to show how different pieces of knowledge are interconnected. It enables enhanced data integration, search, and inference by modeling the relationships between concepts and entities in a graph format.

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/MikeGu721/DetectBench

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DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?

https://github.com/MikulasZelinka/textworld_kg_dataset

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Building Dynamic Knowledge Graphs from Text-based Games

https://github.com/MiliLab/GeoLLaVA-8K

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GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution

https://github.com/Miracle1207/Mean-Field-LLM

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MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework

https://github.com/MiuLab/RAG-Self-Preference

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LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation

https://github.com/MooreThreads/TurboRAG

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TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text

https://github.com/MrRezaeiUofT/AT-RAG

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AT-RAG: An Adaptive RAG Model Enhancing Query Efficiency with Topic Filtering and Iterative Reasoning

https://github.com/MrZihan/NavRAG

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NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

https://github.com/MultimodalGeo/GeoText-1652

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Towards Natural Language-Guided Drones: GeoText-1652 Benchmark with Spatial Relation Matching

https://github.com/MurrayTom/SG-Bench

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SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types

https://github.com/N00bsie/QueryReformulation

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Feature-based reformulation of entities in triple pattern queries

https://github.com/NAACL2018Anonymous/submission

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Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types

https://github.com/NExT-GPT/NExT-GPT

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NExT-GPT: Any-to-Any Multimodal LLM

https://github.com/NIVA-Knowledge-Graph/TERA

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Prediction of Adverse Biological Effects of Chemicals Using Knowledge Graph Embeddings

https://github.com/NJU-LHRS/LHRS-Bot

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LHRS-Bot-Nova: Improved Multimodal Large Language Model for Remote Sensing Vision-Language Interpretation

https://github.com/NLPJCL/RAG-Retrieval

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Jasper and Stella: distillation of SOTA embedding models

https://github.com/NVIDIA/Megatron-LM

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End-to-End Training of Neural Retrievers for Open-Domain Question Answering

https://github.com/NVlabs/FoundationStereo

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FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects

https://github.com/NY1024/BAP-Jailbreak-Vision-Language-Models-via-Bi-Modal-Adversarial-Prompt

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Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt

https://github.com/NacyNiko/HGE

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HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces

https://github.com/NanxuGong/ELLM-FT

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Evolutionary Large Language Model for Automated Feature Transformation

https://github.com/Nickolas-option/QA_on_Tabular_Data_SemEval2025_Task8

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Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA

https://github.com/NicolasTe/osm2kg

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Creating Knowledge Graphs for Geographic Data on the Web

https://github.com/NikeHop/CSRL

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Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods

https://github.com/Nouf-Alabbasi/oKUmura_AI_Telecom_challenge

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Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standards

https://github.com/OPPOMKLab/u-LLaVA

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u-LLaVA: Unifying Multi-Modal Tasks via Large Language Model

https://github.com/OPTML-Group/Unlearn-Simple

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Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning

https://github.com/OSU-NLP-Group/KG-R3

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A Retrieve-and-Read Framework for Knowledge Graph Link Prediction

https://github.com/OUTHIM/power-link

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Path-based Explanation for Knowledge Graph Completion

https://github.com/OceannTwT/Tool-Planner

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Tool-Planner: Task Planning with Clusters across Multiple Tools

https://github.com/OmarErak/LLM-CL

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Large Language Model-Driven Curriculum Design for Mobile Networks

https://github.com/OpenBMB/AgentCPM-GUI

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AgentCPM-GUI: Building Mobile-Use Agents with Reinforcement Fine-Tuning

https://github.com/OpenBioLink/SAFRAN

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Scalable and interpretable rule-based link prediction for large heterogeneous knowledge graphs

https://github.com/OpenDFM/MobA

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MobA: Multifaceted Memory-Enhanced Adaptive Planning for Efficient Mobile Task Automation

https://github.com/OpenISS/kg-recommendation-framework

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Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy

https://github.com/OpenSparseLLMs/CLIP-MoE

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CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling

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