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Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://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/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
https://github.com/xinhaomei/wavcaps
공식 코드https://github.com/xinke-wang/modaverse
공식 코드https://github.com/xinyulin-fz/lenie
공식 코드Node Importance Estimation Leveraging LLMs for Semantic Augmentation in Knowledge Graphs
https://github.com/xinzhel/grammar
공식 코드https://github.com/xinzhel/llm-agent-survey
공식 코드https://github.com/xiongbo010/neste
공식 코드NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
https://github.com/xiongbo010/shrinke
공식 코드https://github.com/xiongsiheng/tilp
공식 코드TILP: Differentiable Learning of Temporal Logical Rules on Knowledge Graphs
https://github.com/xiye17/textualexplincontext
공식 코드The Unreliability of Explanations in Few-shot Prompting for Textual Reasoning
https://github.com/xlang-ai/arks
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.