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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/ianhuang0630/aladdin

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Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions

https://github.com/iankur/vqllm

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Residual vector quantization for KV cache compression in large language model

https://github.com/ibalazevic/HypER

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Hypernetwork Knowledge Graph Embeddings

https://github.com/ibalazevic/TuckER

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TuckER: Tensor Factorization for Knowledge Graph Completion

https://github.com/ibalazevic/multirelational-poincare

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Multi-relational Poincaré Graph Embeddings

https://github.com/ibm-ecosystem-engineering/blended-rag

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Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers

https://github.com/ibm-granite/granite-guardian

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Granite Guardian

https://github.com/ibm/clai

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Project CLAI: Instrumenting the Command Line as a New Environment for AI Agents

https://github.com/ibm/data-prep-kit

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Data-Prep-Kit: getting your data ready for LLM application development

https://github.com/ibm/digital-twin-benchmark-model

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Scaling Knowledge Graphs for Automating AI of Digital Twins

https://github.com/ibm/hspo-ontology

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Representation Learning for Person or Entity-centric Knowledge Graphs: An Application in Healthcare

https://github.com/ibm/kgi-slot-filling

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Robust Retrieval Augmented Generation for Zero-shot Slot Filling

https://github.com/ibm/lprules

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Rule Induction in Knowledge Graphs Using Linear Programming

https://github.com/ibm/mt-rag-benchmark

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MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems

https://github.com/ibm/otter-knowledge

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Otter-Knowledge: benchmarks of multimodal knowledge graph representation learning from different sources for drug discovery

https://github.com/ibm/sax4bpm

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How well can a large language model explain business processes as perceived by users?

https://github.com/ibndias/cipher

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CIPHER: Cybersecurity Intelligent Penetration-testing Helper for Ethical Researcher

https://github.com/ibpa/kglm

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KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction

https://github.com/ibrahimethemhamamci/ct-clip

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Developing Generalist Foundation Models from a Multimodal Dataset for 3D Computed Tomography

https://github.com/ibrahimethemhamamci/generatect

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GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes

https://github.com/icedpanda/COMPASS-official

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Unveiling User Preferences: A Knowledge Graph and LLM-Driven Approach for Conversational Recommendation

https://github.com/icedpanda/KERL

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Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems

https://github.com/icip-cas/selfretrieval

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Self-Retrieval: End-to-End Information Retrieval with One Large Language Model

https://github.com/icpc2024-so/icpc-2024

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Improving Code Example Recommendations on Informal Documentation Using BERT and Query-Aware LSH: A Comparative Study

https://github.com/ict-bigdatalab/rc-rag

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Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework

https://github.com/ict-bigdatalab/utility_judgments

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Are Large Language Models Good at Utility Judgments?

https://github.com/ictmldm/SCAPE

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Panoramic Interests: Stylistic-Content Aware Personalized Headline Generation

https://github.com/ictnlp/LevelRAG

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LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers

https://github.com/ictnlp/auto-rag

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Auto-RAG: Autonomous Retrieval-Augmented Generation for Large Language Models

https://github.com/ictnlp/bayling

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BayLing 2: A Multilingual Large Language Model with Efficient Language Alignment

https://github.com/ictnlp/flexrag

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FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation

https://github.com/ictnlp/stream-omni

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Stream-Omni: Simultaneous Multimodal Interactions with Large Language-Vision-Speech Model

https://github.com/ictnlp/truthx

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TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space

https://github.com/ida-fbk/multimodalpattern

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A Pattern to Align Them All: Integrating Different Modalities to Define Multi-Modal Entities

https://github.com/idansc/mrr-ndcg

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Ensemble of MRR and NDCG models for Visual Dialog

https://github.com/idea-emdoor-lab/distilcodec

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UniTTS: An end-to-end TTS system without decoupling of acoustic and semantic information

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