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/yur7nd/ptss
공식 코드Repurposing Knowledge Graph Embeddings for Triple Representation via Weak Supervision
https://github.com/yurifacanha/llmquoter
공식 코드LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts
https://github.com/yushuowiki/k-half
공식 코드HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs
https://github.com/yuwang-1024/dskreg
공식 코드DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN
https://github.com/yuxixie/v-dpo
공식 코드https://github.com/yuyangdu01/llm-cl-vqa
공식 코드LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery
https://github.com/yuyangye/mllm-msr
공식 코드Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
https://github.com/yuyaozhangqaq/query_compiler
공식 코드https://github.com/yxf203/poisonarena
공식 코드PoisonArena: Uncovering Competing Poisoning Attacks in Retrieval-Augmented Generation
https://github.com/yxh-y/tablerag
공식 코드TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document Reasoning
https://github.com/yy-ko/khan-www23
공식 코드KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction
https://github.com/yyDing1/DS-NER
공식 코드Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations
https://github.com/yygroup/autocfd
공식 코드Fine-tuning a Large Language Model for Automating Computational Fluid Dynamics Simulations
https://github.com/yzhangchuck/sentinel
공식 코드Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context Compression
https://github.com/yzhao062/pyod
공식 코드PyOD 2: A Python Library for Outlier Detection with LLM-powered Model Selection
https://github.com/z1zs/mmneuron
공식 코드MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model
https://github.com/z2sj4t/periguru
공식 코드https://github.com/zackschen/coin
공식 코드CoIN: A Benchmark of Continual Instruction tuNing for Multimodel Large Language Model
https://github.com/zaiwen/cropgpt
공식 코드ShizishanGPT: An Agricultural Large Language Model Integrating Tools and Resources
https://github.com/zankner/cloud
공식 코드https://github.com/zayne-sprague/deductive_additivity_for_planning_of_natural_language_proofs
공식 코드Deductive Additivity for Planning of Natural Language Proofs
https://github.com/zcaicaros/pmc
공식 코드Planning with Multi-Constraints via Collaborative Language Agents
https://github.com/zcccccz/causalwalk
공식 코드Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment
https://github.com/zdh2292390/ParTrans-X
공식 코드Efficient Parallel Translating Embedding For Knowledge Graphs
https://github.com/zefang-liu/InvAgent
공식 코드InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains
https://github.com/zehong-wang/awesome-foundation-models-on-graphs
공식 코드https://github.com/zeng-yirong/ru22fact
공식 코드RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict
https://github.com/zengrh3/StructuralMemory
공식 코드https://github.com/zeroentropy-cc/legalbenchrag
공식 코드LegalBench-RAG: A Benchmark for Retrieval-Augmented Generation in the Legal Domain
https://github.com/zeroxleo/ml-agent
공식 코드ML-Agent: Reinforcing LLM Agents for Autonomous Machine Learning Engineering
https://github.com/zetaalphavector/ragelo
공식 코드Evaluating RAG-Fusion with RAGElo: an Automated Elo-based Framework
https://github.com/zeyugao/virtualcompiler
공식 코드ViC: Virtual Compiler Is All You Need For Assembly Code Search
https://github.com/zh-wang-med/llm-rg4
공식 코드LLM-RG4: Flexible and Factual Radiology Report Generation across Diverse Input Contexts
https://github.com/zh460045050/v2l-tokenizer
공식 코드Beyond Text: Frozen Large Language Models in Visual Signal Comprehension
https://github.com/zhang-xiaokun/finerec
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.