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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/RManLuo/graph-constrained-reasoning

공식 코드

Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models

https://github.com/RUC-GSAI/YuLan-OneSim

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YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models

https://github.com/RUCAIBox/UPGAN

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Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning

https://github.com/RadeenXALNW/G-RAG_1.0

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G-RAG: Knowledge Expansion in Material Science

https://github.com/Rain9876/ShareLoRA

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ShareLoRA: Parameter Efficient and Robust Large Language Model Fine-tuning via Shared Low-Rank Adaptation

https://github.com/RebelsNLU-jaist/llm-unlearning

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On Effects of Steering Latent Representation for Large Language Model Unlearning

https://github.com/RefalMachine/llmtf_open

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Facilitating large language model Russian adaptation with Learned Embedding Propagation

https://github.com/RezzFayyazi/TTP-LLM

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Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented Generation

https://github.com/RotsteinNoam/FuseCap

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FuseCap: Leveraging Large Language Models for Enriched Fused Image Captions

https://github.com/RotsteinNoam/Paint-by-Inpaint

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Paint by Inpaint: Learning to Add Image Objects by Removing Them First

https://github.com/RoyZhengGao/edge2vec

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edge2vec: Representation learning using edge semantics for biomedical knowledge discovery

https://github.com/RujingYao/LSIM

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Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning

https://github.com/RyotaroOKabe/llm4syn

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Large Language Model-Guided Prediction Toward Quantum Materials Synthesis

https://github.com/SDM-TIB/Falcon2.0

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Falcon 2.0: An Entity and Relation Linking Tool over Wikidata

https://github.com/SDM-TIB/SDM-RDFizer

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EABlock: A Declarative Entity Alignment Block for Knowledge Graph Creation Pipelines

https://github.com/SEU-ProactiveSecurity-Group/LLM-PD

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Toward Intelligent and Secure Cloud: Large Language Model Empowered Proactive Defense

https://github.com/SHIXOOM/PAIR

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PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary Algorithms

https://github.com/SHi-ON/ManeuverGPT

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ManeuverGPT Agentic Control for Safe Autonomous Stunt Maneuvers

https://github.com/SJY8460/SLM

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Do Large Language Model Understand Multi-Intent Spoken Language ?

https://github.com/SalesforceAIResearch/xLAM

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xLAM: A Family of Large Action Models to Empower AI Agent Systems

https://github.com/SamyAteia/BioRAGent

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BioRAGent: A Retrieval-Augmented Generation System for Showcasing Generative Query Expansion and Domain-Specific Search for Scientific Q&A

https://github.com/Savannah120/alignment-handbook-PoFT

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Preference-Oriented Supervised Fine-Tuning: Favoring Target Model Over Aligned Large Language Models

https://github.com/SeanLee97/AnglE

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AnglE-optimized Text Embeddings

https://github.com/SensorsConnect/IoT-Agentic-Search-Engine

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Agentic Search Engine for Real-Time IoT Data

https://github.com/SerhadS/TechNet

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TechNet: Technology Semantic Network Based on Patent Data

https://github.com/ShayekhBinIslam/openrag

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Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

https://github.com/ShishirPatil/gorilla

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Gorilla: Large Language Model Connected with Massive APIs

https://github.com/ShootingWong/DomainRAG

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DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation

https://github.com/SilinMeng0510/llm-astar

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LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning

https://github.com/SmartDataAnalytics/KG-Copy_Network

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Using a KG-Copy Network for Non-Goal Oriented Dialogues

https://github.com/SmartDataAnalytics/LiteralE

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Incorporating Literals into Knowledge Graph Embeddings

https://github.com/SmartDataAnalytics/kgirnet

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Grounding Dialogue Systems via Knowledge Graph Aware Decoding with Pre-trained Transformers

https://github.com/SonalPrabhune/RAG

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Deploying Large Language Models With Retrieval Augmented Generation

https://github.com/SoyeonTiffanyMin/TransINT

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TransINT: Embedding Implication Rules in Knowledge Graphs with Isomorphic Intersections of Linear Subspaces

https://github.com/SqueezeAILab/SqueezedAttention

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Squeezed Attention: Accelerating Long Context Length LLM Inference

https://github.com/Srinivas-R/AKBC-2017-Paper-14

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Revisiting Simple Neural Networks for Learning Representations of Knowledge Graphs

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.