Papers with Code 아카이브

Retrieval-augmented Generation

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/IbrahimAlAzhar/FutureWorkGeneration

공식 코드

FutureGen: LLM-RAG Approach to Generate the Future Work of Scientific Article

https://github.com/JasonForJoy/BRIEF

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BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression

https://github.com/Jometeorie/KnowledgeSpread

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Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities

https://github.com/JoyDajunSpaceCraft/RAG-RLRC-LaySum

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RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical Texts

https://github.com/KRLabsOrg/LettuceDetect

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LettuceDetect: A Hallucination Detection Framework for RAG Applications

https://github.com/LHRLAB/HyperGraphRAG

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HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation

https://github.com/Li-Z-Q/DeepSolution

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DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point Thinking

https://github.com/LuciusLan/Visual-RAG

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Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries

https://github.com/MYVAE/Instruction-detection

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Defending against Indirect Prompt Injection by Instruction Detection

https://github.com/MartinBoeckling/KGRag

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Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks

https://github.com/MiuLab/RAG-Self-Preference

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LLMs are Biased Evaluators But Not Biased for Retrieval Augmented Generation

https://github.com/MooreThreads/TurboRAG

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TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text

https://github.com/Motion-RAG/MoRAG

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MoRAG -- Multi-Fusion Retrieval Augmented Generation for Human Motion

https://github.com/MrZihan/NavRAG

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NavRAG: Generating User Demand Instructions for Embodied Navigation through Retrieval-Augmented LLM

https://github.com/NEUIR/CONAN

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Building A Coding Assistant via the Retrieval-Augmented Language Model

https://github.com/NLPJCL/RAG-Retrieval

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Jasper and Stella: distillation of SOTA embedding models

https://github.com/Nickolas-option/QA_on_Tabular_Data_SemEval2025_Task8

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Bridging the Gap Between Open-Source and Proprietary LLMs in Table QA

https://github.com/Nouf-Alabbasi/oKUmura_AI_Telecom_challenge

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Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP Standards

https://github.com/OpenStellarTeam/ChineseEcomQA

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ChineseEcomQA: A Scalable E-commerce Concept Evaluation Benchmark for Large Language Models

https://github.com/PasiniSamuele/Robust-Attack-Detectors-LLM

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Evaluating and Improving the Robustness of Security Attack Detectors Generated by LLMs

https://github.com/Pints-AI/Finetune-Bench-RAG

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Finetune-RAG: Fine-Tuning Language Models to Resist Hallucination in Retrieval-Augmented Generation

https://github.com/PyRGL/rgl

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RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs

https://github.com/RED-Search/Qilin

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Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions

https://github.com/RManLuo/gfm-rag

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GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation

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

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G-RAG: Knowledge Expansion in Material Science

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/RujingYao/LSIM

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

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/SensorsConnect/IoT-Agentic-Search-Engine

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Agentic Search Engine for Real-Time IoT 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/ShootingWong/DomainRAG

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

https://github.com/SonalPrabhune/RAG

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Deploying Large Language Models With Retrieval Augmented Generation

https://github.com/StibiumT16/Robust-Fine-tuning

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RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval Defects

https://github.com/THU-KEG/AtomR

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AtomR: Atomic Operator-Empowered Large Language Models for Heterogeneous Knowledge Reasoning

https://github.com/TZWwww/PROPHET

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PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation

https://github.com/TechnicolorGUO/InteractiveSurvey

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InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation System

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