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/abacinlp/investlm
공식 코드InvestLM: A Large Language Model for Investment using Financial Domain Instruction Tuning
https://github.com/abc03570128/jailbreaking-attack-against-multimodal-large-language-model
공식 코드https://github.com/abderrahmanskiredj/DarijaBanking
공식 코드https://github.com/abdoelsayed2016/grg
공식 코드Generator-Retriever-Generator Approach for Open-Domain Question Answering
https://github.com/abdur75648/v-zen
공식 코드V-Zen: Efficient GUI Understanding and Precise Grounding With A Novel Multimodal LLM
https://github.com/abel2code/the_butterfly_effect_of_prompts
공식 코드https://github.com/abhijeet3922/vision-RAG
공식 코드https://github.com/abman23/on-device-llm-wifi-roaming
공식 코드https://github.com/aboveparadise/llmcbench
공식 코드LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment
https://github.com/achandlr/DEEP
공식 코드https://github.com/acharkq/training-free-graph-matching
공식 코드https://github.com/achouhan93/lexdrafter
공식 코드LexDrafter: Terminology Drafting for Legislative Documents using Retrieval Augmented Generation
https://github.com/acolas1/EventNarrative
공식 코드EventNarrative: A large-scale Event-centric Dataset for Knowledge Graph-to-Text Generation
https://github.com/acolas1/kgsimple
공식 코드https://github.com/adaruna3/continual-kge
공식 코드https://github.com/adelwang/migres
공식 코드https://github.com/adithya7/hybrid-rag
공식 코드Estimating Optimal Context Length for Hybrid Retrieval-augmented Multi-document Summarization
https://github.com/adlnlp/re-temp
공식 코드Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion
https://github.com/adxcreative/LEARN
공식 코드https://github.com/ag2ai/ag2
공식 코드Adaptive In-conversation Team Building for Language Model Agents
https://github.com/ag2ai/simpledoc
공식 코드SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement
https://github.com/aggregate-intellect/xir
공식 코드Towards Improving the Explainability of Text-based Information Retrieval with Knowledge Graphs
https://github.com/aghdamamir/actalign
공식 코드ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment
https://github.com/agiping/godel-scheduler
공식 코드Topology-aware Preemptive Scheduling for Co-located LLM Workloads
https://github.com/agiresearch/a-mem
공식 코드https://github.com/agiresearch/aios
공식 코드https://github.com/agiresearch/aios.server
공식 코드Planet as a Brain: Towards Internet of AgentSites based on AIOS Server
https://github.com/agiresearch/autoflow
공식 코드AutoFlow: Automated Workflow Generation for Large Language Model Agents
https://github.com/agiresearch/eccos
공식 코드OmniRouter: Budget and Performance Controllable Multi-LLM Routing
https://github.com/agiresearch/omnirouter
공식 코드OmniRouter: Budget and Performance Controllable Multi-LLM Routing
https://github.com/agiresearch/waragent
공식 코드War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars
https://github.com/agnesion/zero-shot-nlg-from-kgs-data
공식 코드Using Large Language Models for Zero-Shot Natural Language Generation from Knowledge Graphs
https://github.com/agrzheng/GRADA
공식 코드GRADA: Graph-based Reranker against Adversarial Documents Attack
https://github.com/ahjeongseo/MASN-pytorch
공식 코드Attend What You Need: Motion-Appearance Synergistic Networks for Video Question Answering
https://github.com/ahoho/inferential-decompositions
공식 코드Natural Language Decompositions of Implicit Content Enable Better Text Representations
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.