https://github.com/wuxingyu-ai/as-llm
공식 코드Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
Papers with Code 아카이브
Knowledge Graph Completion
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 7
- 보존된 평가 기록
- 17
Knowledge graphs $G$ are represented as a collection of triples $\\{(h, r, t)\\}\subseteq E\times R\times E$, where $E$ and $R$ are the entity set and relation set. The task of Knowledge Graph Completion is to either predict unseen relations $r$ between two existing entities: $(h, ?, t)$ or predict the tail entity $t$ given the head entity and the query relation: $(h, r, ?)$.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/wuxingyu-ai/llm4ec
공식 코드Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
https://github.com/wuyike2000/CoTKR
공식 코드CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering
https://github.com/wwwadx/FinVis-GPT
공식 코드FinVis-GPT: A Multimodal Large Language Model for Financial Chart Analysis
https://github.com/wyharturia/llm_enhanced_ml
공식 코드Large Language Model Enhanced Machine Learning Estimators for Classification
https://github.com/wyl-willing/MindMap
공식 코드MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
https://github.com/wylresearch/kc-genre
공식 코드https://github.com/wyripple/rp_kw_errors
공식 코드Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing
https://github.com/wyu97/GenRead
공식 코드Generate rather than Retrieve: Large Language Models are Strong Context Generators
https://github.com/wyxstriker/MakeSomeNoiseInference
공식 코드Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
https://github.com/wzh-nlp/ookg
공식 코드Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
https://github.com/wzy232303/fpt
공식 코드FPT: Feature Prompt Tuning for Few-shot Readability Assessment
https://github.com/x-lance/neusym-rag
공식 코드NeuSym-RAG: Hybrid Neural Symbolic Retrieval with Multiview Structuring for PDF Question Answering
https://github.com/x-plug/mplug-docowl
공식 코드mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
https://github.com/x-plug/mplug-halowl
공식 코드Hallucination Augmented Contrastive Learning for Multimodal Large Language Model
https://github.com/x-plug/mplug-owl
공식 코드mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration
https://github.com/x-plug/multi-llm-agent
공식 코드https://github.com/x-plug/youku-mplug
공식 코드Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and Benchmarks
https://github.com/xavierpuigf/watch_and_help
공식 코드Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
https://github.com/xbmxb/EnvDistraction
공식 코드Caution for the Environment: Multimodal Agents are Susceptible to Environmental Distractions
https://github.com/xgenerationlab/xiyan_mcp_server
공식 코드https://github.com/xiami2019/UAR
공식 코드https://github.com/xianjun-yang/pllama
공식 코드PLLaMa: An Open-source Large Language Model for Plant Science
https://github.com/xianjun-yang/quokka
공식 코드Quokka: An Open-source Large Language Model ChatBot for Material Science
https://github.com/xiaoduoailab/xmodel-2
공식 코드https://github.com/xiaoman-zhang/PMC-VQA
공식 코드PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
https://github.com/xiaomi/subllm
공식 코드SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM
https://github.com/xiaomimimo/mimo
공식 코드MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining
https://github.com/xiaomingaaa/sdn
공식 코드S$^2$DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
https://github.com/xiaoqian-shen/StoryGPT-V
공식 코드StoryGPT-V: Large Language Models as Consistent Story Visualizers
https://github.com/xiaowu0162/longmemeval
공식 코드LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
https://github.com/xiaoxinhe/g-retriever
공식 코드G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
https://github.com/xieyangxinyu/wildfiregpt
공식 코드A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation
https://github.com/xincanfeng/dimension
공식 코드Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex Space
https://github.com/xincanfeng/ms_kge
공식 코드https://github.com/xingbow/sleephealthLLM
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.