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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/lmarena/p2l

공식 코드

Prompt-to-Leaderboard

https://github.com/lmb-freiburg/entitynet

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Using Knowledge Graphs to harvest datasets for efficient CLIP model training

https://github.com/lmd0311/hermes

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HERMES: A Unified Self-Driving World Model for Simultaneous 3D Scene Understanding and Generation

https://github.com/lmgame-org/gamingagent

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lmgame-Bench: How Good are LLMs at Playing Games?

https://github.com/lmmapplication/rakg

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RAKG:Document-level Retrieval Augmented Knowledge Graph Construction

https://github.com/lmmlzn/awesome-llms-datasets

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Datasets for Large Language Models: A Comprehensive Survey

https://github.com/lmous/openai-gpt4-coding-assistant

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OpenAi's GPT4 as coding assistant

https://github.com/logintelligence/log-analytics-chatgpt

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Log Parsing: How Far Can ChatGPT Go?

https://github.com/longhao-chen/aicas2024

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Optimization of Armv9 architecture general large language model inference performance based on Llama.cpp

https://github.com/longmalongma/desa2va

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Decoupled Seg Tokens Make Stronger Reasoning Video Segmenter and Grounder

https://github.com/longquanjiang/ontoscprompt

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Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering

https://github.com/lorenzflow/robust-moa

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This Is Your Doge, If It Please You: Exploring Deception and Robustness in Mixture of LLMs

https://github.com/lorenzoscottb/findings_ACL2021

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Representing Syntax and Composition with Geometric Transformations

https://github.com/louiskwoklf/llms-cultural-adaptability

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Evaluating Cultural Adaptability of a Large Language Model via Simulation of Synthetic Personas

https://github.com/lrlbbzl/unibi_ogb

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Prior Bilinear Based Models for Knowledge Graph Completion

https://github.com/lrudl/sad

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Me, Myself, and AI: The Situational Awareness Dataset (SAD) for LLMs

https://github.com/ls1rius/wsi_five

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Generalizable Whole Slide Image Classification with Fine-Grained Visual-Semantic Interaction

https://github.com/ltgoslo/text-graph-generalization

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Compositional Generalization with Grounded Language Models

https://github.com/lucas-ty/llm_implicit_reference

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You Know What I'm Saying: Jailbreak Attack via Implicit Reference

https://github.com/lucas-ventura/CoVR

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CoVR-2: Automatic Data Construction for Composed Video Retrieval

https://github.com/luchang1113/hep-llm-play-starcraftii

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Hierarchical Expert Prompt for Large-Language-Model: An Approach Defeat Elite AI in TextStarCraft II for the First Time

https://github.com/luchris429/DiscoPOP

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Discovering Preference Optimization Algorithms with and for Large Language Models

https://github.com/luciferkonn/dt_mem

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Think Before You Act: Decision Transformers with Working Memory

https://github.com/luckybian/isy5001

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IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model

https://github.com/ludc506/InternVL-X

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InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression

https://github.com/luffycodes/neptune

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NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion

https://github.com/luffycodes/tutorbot-spock-phys

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Code Soliloquies for Accurate Calculations in Large Language Models

https://github.com/luisrui/Multimodal-Relation-Extrapolation

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Zero-Shot Relational Learning for Multimodal Knowledge Graphs

https://github.com/luka-group/FaviComp

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Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation

https://github.com/luka-group/mDPO

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mDPO: Conditional Preference Optimization for Multimodal Large Language Models

https://github.com/lukasbahr/kg-rag-fmea

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Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis

https://github.com/lukeforeveryoung/ureader

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UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model

https://github.com/lukeming-tsinghua/instruction-tuning-for-open-world-ie

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PIVOINE: Instruction Tuning for Open-world Information Extraction

https://github.com/lukeming-tsinghua/remod

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Multimodal Learning on Graphs for Disease Relation Extraction

https://github.com/lukeyoffe/debunc

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DebUnc: Improving Large Language Model Agent Communication With Uncertainty Metrics

https://github.com/lulu0913/vrkg4rec

공식 코드

VRKG4Rec: Virtual Relational Knowledge Graphs for Recommendation

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