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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/aorwall/moatless-tree-search

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SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement

https://github.com/apartresearch/seqcont_circuits

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Towards Interpretable Sequence Continuation: Analyzing Shared Circuits in Large Language Models

https://github.com/apoorvumang/CronKGQA

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Question Answering Over Temporal Knowledge Graphs

https://github.com/apoorvumang/kgt5

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Sequence-to-Sequence Knowledge Graph Completion and Question Answering

https://github.com/appl-team/appl

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APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts

https://github.com/apple/ml-ferret

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Ferret: Refer and Ground Anything Anywhere at Any Granularity

https://github.com/apple/ml-hypercloning

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Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization

https://github.com/apple/ml-interactive-data-augmentation

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Exploring Empty Spaces: Human-in-the-Loop Data Augmentation

https://github.com/apple/ml-kge

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Increasing Coverage and Precision of Textual Information in Multilingual Knowledge Graphs

https://github.com/apple/ml-slowfast-llava

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SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

https://github.com/apple/ml-superposition-prompting

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Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

https://github.com/appletea233/llava-st

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LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding

https://github.com/applied-ai-research-lab/orchestrator-agent-trust

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Orchestrator-Agent Trust: A Modular Agentic AI Visual Classification System with Trust-Aware Orchestration and RAG-Based Reasoning

https://github.com/applied-machine-learning-lab/g3

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G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models

https://github.com/applied-machine-learning-lab/llmemb

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LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation

https://github.com/applied-machine-learning-lab/mesh-tkgr

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A Multi-Expert Structural-Semantic Hybrid Framework for Unveiling Historical Patterns in Temporal Knowledge Graphs

https://github.com/applied-machine-learning-lab/mill

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MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion

https://github.com/april-tools/gekcs

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How to Turn Your Knowledge Graph Embeddings into Generative Models

https://github.com/araag2/SemEval2024-Task2

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Lisbon Computational Linguists at SemEval-2024 Task 2: Using A Mistral 7B Model and Data Augmentation

https://github.com/archersama/uni-ctr

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A Unified Framework for Multi-Domain CTR Prediction via Large Language Models

https://github.com/archiki/utgendebug

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Learning to Generate Unit Tests for Automated Debugging

https://github.com/arghadippurdue/GraNNite

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GraNNite: Enabling High-Performance Execution of Graph Neural Networks on Resource-Constrained Neural Processing Units

https://github.com/arm-diaz/bio-germline-diseases-bert-ner

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Applying BioBERT to Extract Germline Gene-Disease Associations for Building a Knowledge Graph from the Biomedical Literature

https://github.com/arminarj/empathic-grounding

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Empathic Grounding: Explorations using Multimodal Interaction and Large Language Models with Conversational Agents

https://github.com/armitakhn/gilbert

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Knowledge Graph Refinement based on Triplet BERT-Networks

https://github.com/artessay/sama

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TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems

https://github.com/arthur422tp/hierachical

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Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese Regulations

https://github.com/arthurbra/citation-recommendation-kg

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Citation Recommendation for Research Papers via Knowledge Graphs

https://github.com/arthurleom/dress-llm

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DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing

https://github.com/artificial-scientist-lab/impact4cast

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Forecasting high-impact research topics via machine learning on evolving knowledge graphs

https://github.com/artificial-scientist-lab/scimuse

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Interesting Scientific Idea Generation using Knowledge Graphs and LLMs: Evaluations with 100 Research Group Leaders

https://github.com/arturzolkowski/steganographic-evals

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Early Signs of Steganographic Capabilities in Frontier LLMs

https://github.com/arvid-pku/atoke

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History Matters: Temporal Knowledge Editing in Large Language Model

https://github.com/aryan-jadon/synthetic-data-generation-and-evaluation-using-reasoning-models

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Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models

https://github.com/aryopg/biokge

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Knowledge Graph Embeddings in the Biomedical Domain: Are They Useful? A Look at Link Prediction, Rule Learning, and Downstream Polypharmacy Tasks

https://github.com/asadifar/HCqa

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HCqa: Hybrid and Complex Question Answering on Textual Corpus and Knowledge Graph

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