https://github.com/wisper12933/ga-rollback
공식 코드Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent
Papers with Code 아카이브
Knowledge Graphs
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 평가표
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- 보존된 평가 기록
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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/wivizhang/earthgpt
공식 코드https://github.com/wivizhang/earthmarker
공식 코드EarthMarker: A Visual Prompting Multi-modal Large Language Model for Remote Sensing
https://github.com/wjj0122/arallm
공식 코드https://github.com/wjk666/disenkgat
공식 코드DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network
https://github.com/wlik/glrec
공식 코드Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
https://github.com/wlzhang2020/reasonrag
공식 코드Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
https://github.com/wondercs1213/uniea
공식 코드Unifying Dual-Space Embedding for Entity Alignment via Contrastive Learning
https://github.com/wonderful-team-robotics/wonderful_team_robotics
공식 코드Wonderful Team: Zero-Shot Physical Task Planning with Visual LLMs
https://github.com/woooodyy/agentgym
공식 코드AgentGym: Evolving Large Language Model-based Agents across Diverse Environments
https://github.com/woooodyy/llm-agent-paper-list
공식 코드The Rise and Potential of Large Language Model Based Agents: A Survey
https://github.com/wpydcr/mes-rag
공식 코드MES-RAG: Bringing Multi-modal, Entity-Storage, and Secure Enhancements to RAG
https://github.com/writer/writing-in-the-margins
공식 코드Writing in the Margins: Better Inference Pattern for Long Context Retrieval
https://github.com/wuhy68/chatedav1
공식 코드ChatEDA: A Large Language Model Powered Autonomous Agent for EDA
https://github.com/wujiangxu/agenticmemory
공식 코드https://github.com/wujiangxu/slmrec
공식 코드SLMRec: Distilling Large Language Models into Small for Sequential Recommendation
https://github.com/wujwyi/pa-rag
공식 코드PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization
https://github.com/wuklab/infercept
공식 코드InferCept: Efficient Intercept Support for Augmented Large Language Model Inference
https://github.com/wutong8023/versicode
공식 코드https://github.com/wuxingyu-ai/as-llm
공식 코드Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation
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/wwxu21/AMR-SG
공식 코드https://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/wyy-code/TFP
공식 코드Gradient Flow of Energy: A General and Efficient Approach for Entity Alignment Decoding
https://github.com/wyy-code/desalign
공식 코드Towards Semantic Consistency: Dirichlet Energy Driven Robust Multi-Modal Entity Alignment
https://github.com/wyy-code/pipea
공식 코드Understanding and Guiding Weakly Supervised Entity Alignment with Potential Isomorphism Propagation
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.