Inductive knowledge graph completion
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/huggingface/transformers/tree/master/examples/research_projects/rag-end2end-retriever
공식 코드Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-Answering
https://github.com/hughvd/um-cai-fellowship
공식 코드From Interests to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries
https://github.com/huichizhou/trustrag
공식 코드https://github.com/huihuichyan/unlimitedjudge
공식 코드https://github.com/huiminzeng/gpt-fedrec
공식 코드Federated Recommendation via Hybrid Retrieval Augmented Generation
https://github.com/humanmllm/humanomniv2
공식 코드HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context
https://github.com/huntila/scholarly-kgqa
공식 코드Leveraging LLMs in Scholarly Knowledge Graph Question Answering
https://github.com/hurlab/vaccine-adjuvant-llm
공식 코드Cancer Vaccine Adjuvant Name Recognition from Biomedical Literature using Large Language Models
https://github.com/huskyinsalt/crag
공식 코드https://github.com/hwanchang00/CoPriva
공식 코드https://github.com/hwq0726/sdoh-kg
공식 코드https://github.com/hwq0726/sdohenpkg
공식 코드https://github.com/hwwang55/MKR
공식 코드Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation
https://github.com/hwwang55/PathCon
공식 코드https://github.com/hwy9855/gsr
공식 코드Less is More: Making Smaller Language Models Competent Subgraph Retrievers for Multi-hop KGQA
https://github.com/hxyscotthuang/cmpnn
공식 코드A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs
https://github.com/hyc2026/StoryTeller
공식 코드StoryTeller: Improving Long Video Description through Global Audio-Visual Character Identification
https://github.com/hyeonjeongha/mm-poisonrag
공식 코드MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks
https://github.com/hyleepp/continue-kgc
공식 코드https://github.com/hymie122/rag-survey
공식 코드Retrieval-Augmented Generation for AI-Generated Content: A Survey
https://github.com/hyren/query2box
공식 코드Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings
https://github.com/hysonlab/biomedkg
공식 코드Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
https://github.com/hyu-nlp/hyper-cl
공식 코드Hyper-CL: Conditioning Sentence Representations with Hypernetworks
https://github.com/hzli-ucas/stargraph
공식 코드StarGraph: Knowledge Representation Learning based on Incomplete Two-hop Subgraph
https://github.com/i-eval/faireval
공식 코드https://github.com/i40-Tools/I40KG-Embeddings
공식 코드Unveiling Relations in the Industry 4.0 Standards Landscape based on Knowledge Graph Embeddings
https://github.com/iDEA-iSAIL-Lab-UIUC/APEX
공식 코드APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
https://github.com/iaar-shanghai/crud_rag
공식 코드https://github.com/iaar-shanghai/datg
공식 코드Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs
https://github.com/iaar-shanghai/pgrag
공식 코드Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning
https://github.com/iaar-shanghai/saferag
공식 코드SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
https://github.com/iai-group/ginger-response-generation
공식 코드GINGER: Grounded Information Nugget-Based Generation of Responses
https://github.com/iai-group/pkg-api
공식 코드https://github.com/iamgmujtaba/scholar_search
공식 코드ChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey
https://github.com/iamryanshengwang/prometheus-chatbot
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.