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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/PhilippChr/CONVEX
공식 코드https://github.com/Pie115/Learning-Matrix-Functions-In-Context
공식 코드Can a Large Language Model Learn Matrix Functions In Context?
https://github.com/Pints-AI/Finetune-Bench-RAG
공식 코드Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation
https://github.com/PlusRoss/Hy-Transformer
공식 코드https://github.com/PrekshaNema25/Answerability-Metric
공식 코드Towards a Better Metric for Evaluating Question Generation Systems
https://github.com/Pro-GenAI/AutoPureData
공식 코드AutoPureData: Automated Filtering of Undesirable Web Data to Update LLM Knowledge
https://github.com/PrzemyslawStok/ssakg
공식 코드Associative Knowledge Graphs for Efficient Sequence Storage and Retrieval
https://github.com/PyRGL/rgl
공식 코드RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs
https://github.com/QingkaiZeng/GenTaxo
공식 코드Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
https://github.com/QipengGuo/CycleGT
공식 코드CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
https://github.com/Quadflor/quadflor
공식 코드Using Titles vs. Full-text as Source for Automated Semantic Document Annotation
https://github.com/QwenLM/Qwen-7B
공식 코드https://github.com/RED-Search/Qilin
공식 코드Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions
https://github.com/RLE-Foundation/rllte
공식 코드RLLTE: Long-Term Evolution Project of Reinforcement Learning
https://github.com/RLHFlow/RLHF-Reward-Modeling
공식 코드https://github.com/RManLuo/CP-GNN
공식 코드Detecting Communities from Heterogeneous Graphs: A Context Path-based Graph Neural Network Model
https://github.com/RManLuo/gfm-rag
공식 코드GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
https://github.com/RManLuo/graph-constrained-reasoning
공식 코드Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models
https://github.com/RUC-GSAI/YuLan-OneSim
공식 코드YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models
https://github.com/RadeenXALNW/G-RAG_1.0
공식 코드https://github.com/Rain9876/ShareLoRA
공식 코드https://github.com/RebelsNLU-jaist/llm-unlearning
공식 코드On Effects of Steering Latent Representation for Large Language Model Unlearning
https://github.com/RefalMachine/llmtf_open
공식 코드Facilitating large language model Russian adaptation with Learned Embedding Propagation
https://github.com/RezzFayyazi/TTP-LLM
공식 코드https://github.com/RotsteinNoam/FuseCap
공식 코드FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions
https://github.com/RotsteinNoam/Paint-by-Inpaint
공식 코드Paint by Inpaint: Learning to Add Image Objects by Removing Them First
https://github.com/RoyZhengGao/edge2vec
공식 코드edge2vec: Representation learning using edge semantics for biomedical knowledge discovery
https://github.com/RujingYao/LSIM
공식 코드https://github.com/RyotaroOKabe/llm4syn
공식 코드Large Language Model-Guided Prediction Toward Quantum Materials Synthesis
https://github.com/SDM-TIB/Falcon2.0
공식 코드Falcon 2.0: An Entity and Relation Linking Tool over Wikidata
https://github.com/SDM-TIB/SDM-RDFizer
공식 코드EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines
https://github.com/SEU-ProactiveSecurity-Group/LLM-PD
공식 코드Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive Defense
https://github.com/SHIXOOM/PAIR
공식 코드PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms
https://github.com/SHi-ON/ManeuverGPT
공식 코드ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers
https://github.com/SJY8460/SLM
공식 코드Do Large Language Model Understand Multi-Intent Spoken Language ?
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