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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/yide-qiu/unikg

공식 코드

UniKG: A Benchmark and Universal Embedding for Large-Scale Knowledge Graphs

https://github.com/yifan-h/multilingual_space

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Adapters for Enhanced Modeling of Multilingual Knowledge and Text

https://github.com/yifanliu2/roegen-recsys-24-eqr

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Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation

https://github.com/yifanlu0227/chatsim

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Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

https://github.com/yifanxu74/libra

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Libra: Building Decoupled Vision System on Large Language Models

https://github.com/yihong-chen/refactorgnn

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ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective

https://github.com/yihuazhu111/orthogonale

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Block-Diagonal Orthogonal Relation and Matrix Entity for Knowledge Graph Embedding

https://github.com/yijia-xiao/know2bio

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Know2BIO: A Comprehensive Dual-View Benchmark for Evolving Biomedical Knowledge Graphs

https://github.com/yilinjz/astchunk

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cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree

https://github.com/yilunzhao/FinDVer

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FinDVer: Explainable Claim Verification over Long and Hybrid-Content Financial Documents

https://github.com/yimjinkyu1/date2024_pipette

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Pipette: Automatic Fine-grained Large Language Model Training Configurator for Real-World Clusters

https://github.com/yin-gz/nary-inductive-subgraph

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Inductive Link Prediction on N-ary Relational Facts via Semantic Hypergraph Reasoning

https://github.com/yinghy18/cortex

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CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs

https://github.com/yingkaid/jailfuzzer

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Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation Models

https://github.com/yinzhangyue/eot

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Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication

https://github.com/yiqingxyq/codebenchgen

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CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks

https://github.com/yisuanwang/soulstyler

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Soulstyler: Using Large Language Model to Guide Image Style Transfer for Target Object

https://github.com/yiveen/syntheticdatafeasibility

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Does Feasibility Matter? Understanding the Impact of Feasibility on Synthetic Training Data

https://github.com/yixiangch/mrd-rag

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MRD-RAG: Enhancing Medical Diagnosis with Multi-Round Retrieval-Augmented Generation

https://github.com/yixuantt/MultiHop-RAG

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MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

https://github.com/yizhilll/transher

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TranSHER: Translating Knowledge Graph Embedding with Hyper-Ellipsoidal Restriction

https://github.com/yjeugenia/maferw

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MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

https://github.com/yjiangcm/lion

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Lion: Adversarial Distillation of Proprietary Large Language Models

https://github.com/yjsoh/youra

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You Only Use Reactive Attention Slice For Long Context Retrieval

https://github.com/ykumards/eclip

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Improving Medical Multi-modal Contrastive Learning with Expert Annotations

https://github.com/ykzhang721/COG

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Light Up the Shadows: Enhance Long-Tailed Entity Grounding with Concept-Guided Vision-Language Models

https://github.com/ym689/rec_icl

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Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning

https://github.com/ymoslem/adaptive-mt-llm-fine-tuning

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Fine-tuning Large Language Models for Adaptive Machine Translation

https://github.com/yoadtew/zero-shot-image-to-text

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ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic

https://github.com/yoda-lab/dialectical-reconciliation-with-structured-argumentation

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Dialectical Reconciliation via Structured Argumentative Dialogues

https://github.com/yoda-lab/persona

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Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces

https://github.com/yohanjo/kenli

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Knowledge-Enhanced Evidence Retrieval for Counterargument Generation

https://github.com/yongaifadian1/Dynamic-Parameter-Memory_DPM

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Dynamic Parameter Memory: Temporary LoRA-Enhanced LLM for Long-Sequence Emotion Recognition in Conversation

https://github.com/yongchao98/promst

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PRompt Optimization in Multi-Step Tasks (PROMST): Integrating Human Feedback and Heuristic-based Sampling

https://github.com/yosukehiguchi/espnet

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Harnessing the Zero-Shot Power of Instruction-Tuned Large Language Model in End-to-End Speech Recognition

https://github.com/you68681/lpw

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Planning-Driven Programming: A Large Language Model Programming Workflow

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.