Knowledge Graphs
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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/nomothings/charge
공식 코드Benchmarking Multimodal RAG through a Chart-based Document Question-Answering Generation Framework
https://github.com/norskregnesentral/conv_feedback
공식 코드Conversational Feedback in Scripted versus Spontaneous Dialogues: A Comparative Analysis
https://github.com/northsky0307/dppa-pruning-method-for-large-language-model-to-model-merging
공식 코드DPPA: Pruning Method for Large Language Model to Model Merging
https://github.com/novasearch-team/rag-retrieval
공식 코드Benchmarking the Myopic Trap: Positional Bias in Information Retrieval
https://github.com/novasky-ai/skythought
공식 코드LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
https://github.com/nslab-cuk/connector
공식 코드Connector 0.5: A unified framework for graph representation learning
https://github.com/nslab-cuk/halal-or-not
공식 코드Halal or Not: Knowledge Graph Completion for Predicting Cultural Appropriateness of Daily Products
https://github.com/ntuddsnlab/srgcl
공식 코드https://github.com/ntunlp/kmlm
공식 코드Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples
https://github.com/ntunlp/opensource-llms-better-than-openai
공식 코드ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?
https://github.com/ntwalker/graphwoz
공식 코드GraphWOZ: Dialogue Management with Conversational Knowledge Graphs
https://github.com/nu-c3lab/satyrn
공식 코드https://github.com/nu-dialogue/jmultiwoz
공식 코드JMultiWOZ: A Large-Scale Japanese Multi-Domain Task-Oriented Dialogue Dataset
https://github.com/nusioraprivacy/eaas-privacy
공식 코드Split-and-Denoise: Protect large language model inference with local differential privacy
https://github.com/nusnlp/reacts
공식 코드Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance
https://github.com/nuster1128/llm_agent_memory_survey
공식 코드A Survey on the Memory Mechanism of Large Language Model based Agents
https://github.com/nuster1128/memengine
공식 코드MemEngine: A Unified and Modular Library for Developing Advanced Memory of LLM-based Agents
https://github.com/nustm/cpnc
공식 코드Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering
https://github.com/nvlabs/coat
공식 코드COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training
https://github.com/nvlabs/maskllm
공식 코드MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models
https://github.com/nyu-llm-ctf/nyuctf_agents_craken
공식 코드CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution
https://github.com/nyuolab/MedDistractQA
공식 코드https://github.com/nyushcs/moleculargpt
공식 코드MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction
https://github.com/oaklight/mango
공식 코드MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models
https://github.com/oashua/mathagent
공식 코드Modeling Complex Mathematical Reasoning via Large Language Model based MathAgent
https://github.com/ocean-luna/hmrag
공식 코드HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation
https://github.com/oceanntwt/ra-isf
공식 코드RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
https://github.com/octaviaguo/EchoMist
공식 코드How to Protect Yourself from 5G Radiation? Investigating LLM Responses to Implicit Misinformation
https://github.com/oddqueue/e-dpo
공식 코드KL Penalty Control via Perturbation for Direct Preference Optimization
https://github.com/ofa-sys/expertllama
공식 코드ExpertPrompting: Instructing Large Language Models to be Distinguished Experts
https://github.com/oliver-lloyd/kge_param_sens
공식 코드Assessing the Effects of Hyperparameters on Knowledge Graph Embedding Quality
https://github.com/om-ai-lab/OmAgent
공식 코드OmAgent: A Multi-modal Agent Framework for Complex Video Understanding with Task Divide-and-Conquer
https://github.com/om-ai-lab/ZoomEye
공식 코드https://github.com/om-ai-lab/imagerag
공식 코드ImageRAG: Enhancing Ultra High Resolution Remote Sensing Imagery Analysis with ImageRAG
https://github.com/omron-sinicx/whereistheanswer
공식 코드Where is the answer? Investigating Positional Bias in Language Model Knowledge Extraction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.