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/futureeeeee/dynamic-rag
공식 코드https://github.com/futureeeeee/mba
공식 코드MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity
https://github.com/fuyu-quant/iblm
공식 코드Inductive-bias Learning: Generating Code Models with Large Language Model
https://github.com/gabriellasky/claim_optimization
공식 코드https://github.com/gair-nlp/deepresearcher
공식 코드DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
https://github.com/gair-nlp/openresearcher
공식 코드OpenResearcher: Unleashing AI for Accelerated Scientific Research
https://github.com/gair-nlp/preference-dissection
공식 코드https://github.com/gair-nlp/prox
공식 코드Programming Every Example: Lifting Pre-training Data Quality like Experts at Scale
https://github.com/ganjinzero/rrhf
공식 코드RRHF: Rank Responses to Align Language Models with Human Feedback without tears
https://github.com/gao-g/prelude
공식 코드Aligning LLM Agents by Learning Latent Preference from User Edits
https://github.com/gasolsun36/dynamicrag
공식 코드https://github.com/gasolsun36/surf
공식 코드SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
https://github.com/gasolsun36/tog
공식 코드Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
https://github.com/gatech-eic/edge-llm
공식 코드https://github.com/gatenlp/h3prompt
공식 코드https://github.com/gautierdag/plancraft
공식 코드Plancraft: an evaluation dataset for planning with LLM agents
https://github.com/gavin001201/cof
공식 코드CoF: Coarse to Fine-Grained Image Understanding for Multi-modal Large Language Models
https://github.com/gblackout/TILR
공식 코드https://github.com/gchochla/vault
공식 코드VAuLT: Augmenting the Vision-and-Language Transformer for Sentiment Classification on Social Media
https://github.com/gcyzsl/o3-llm-unlearning
공식 코드https://github.com/ge-semtk/semtk
공식 코드SemTK: An Ontology-first, Open Source Semantic Toolkit for Managing and Querying Knowledge Graphs
https://github.com/geekan/metagpt
공식 코드https://github.com/geekjuruo/beer2
공식 코드Bidirectional End-to-End Learning of Retriever-Reader Paradigm for Entity Linking
https://github.com/gen-verse/scoreflow
공식 코드ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization
https://github.com/generative-social-choice/chatbot_personalization_data
공식 코드https://github.com/genetasefa/raild
공식 코드RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs
https://github.com/gengchenmai/Attention_GraphQA
공식 코드Contextual Graph Attention for Answering Logical Queries over Incomplete Knowledge Graphs
https://github.com/genggengcss/OntoZSL
공식 코드https://github.com/genggengcss/pdkgc
공식 코드Prompting Disentangled Embeddings for Knowledge Graph Completion with Pre-trained Language Model
https://github.com/geobrain-ai/geogalactica
공식 코드GeoGalactica: A Scientific Large Language Model in Geoscience
https://github.com/geofila/Semantic-Counterfactuals
공식 코드Choose your Data Wisely: A Framework for Semantic Counterfactuals
https://github.com/georgiarg/autofashion
공식 코드Automatic Generation of Fashion Images using Prompting in Generative Machine Learning Models
https://github.com/geox-lab/allspark
공식 코드https://github.com/geox-lab/hook
공식 코드Homogeneous Tokenizer Matters: Homogeneous Visual Tokenizer for Remote Sensing Image Understanding
https://github.com/geox-lab/rs-gpt4v
공식 코드RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.