https://github.com/x-plug/mplug-docowl
공식 코드mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
- 19
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/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/xiangwang1223/knowledge_graph_attention_network
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/xiaohui-victor-li/FinDKG
공식 코드https://github.com/xiaoiker/Awesome-Hyperbolic-NeuralNetworks
공식 코드https://github.com/xiaojuantang/rule
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/biokdn
공식 코드Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction
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/xiaoqian19940510/moalign
공식 코드Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment
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/xiefeng69/gaea
공식 코드Improving Knowledge Graph Entity Alignment with Graph Augmentation
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/xincanfeng/ss_kge
공식 코드https://github.com/xingbow/sleephealthLLM
공식 코드https://github.com/xingdi-eric-yuan/GATA-public
공식 코드Learning Dynamic Belief Graphs to Generalize on Text-Based Games
https://github.com/xingdi-eric-yuan/imrc_graph_public
공식 코드Interactive Machine Comprehension with Dynamic Knowledge Graphs
https://github.com/xingwei-warwick/callmsae
공식 코드Cascading Large Language Models for Salient Event Graph Generation
https://github.com/xingyaoww/code-act
공식 코드https://github.com/xingyaoww/code4struct
공식 코드Code4Struct: Code Generation for Few-Shot Event Structure Prediction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.