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/0217ljh/QA_System_For_Spectral_Analysis_With_SDAAP_Dataset

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A Quick, trustworthy spectral knowledge Q&A system leveraging retrieval-augmented generation on LLM

https://github.com/2279072142/mindscope

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MindScope: Exploring cognitive biases in large language models through Multi-Agent Systems

https://github.com/2282588541a/hirag

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Hierarchical Retrieval-Augmented Generation Model with Rethink for Multi-hop Question Answering

https://github.com/2471023025/ralm_survey

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RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

https://github.com/AI-in-Health/Patient-Instructions

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Retrieval-Augmented and Knowledge-Grounded Language Models for Faithful Clinical Medicine

https://github.com/AI4WA/OpenOmniFramework

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OpenOmni: A Collaborative Open Source Tool for Building Future-Ready Multimodal Conversational Agents

https://github.com/ATILF-UMR7118/pRAGe

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Retrieve, Generate, Evaluate: A Case Study for Medical Paraphrases Generation with Small Language Models

https://github.com/Aatrox103/CrAM

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CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG

https://github.com/AkariAsai/self-rag

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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

https://github.com/AlfredClemedtson/graphraft

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GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases

https://github.com/Ali-Forootani/multi_llm

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Bio-Eng-LMM AI Assist chatbot: A Comprehensive Tool for Research and Education

https://github.com/Alibaba-NLP/CoFE-RAG

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CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data Diversity

https://github.com/Alibaba-NLP/ViDoRAG

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ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

https://github.com/AmeyHengle/multilingual-long-context-reasoning

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Can LLMs reason over extended multilingual contexts? Towards long-context evaluation beyond retrieval and haystacks

https://github.com/Applied-Machine-Learning-Lab/Awesome-Personalized-RAG-Agent

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A Survey of Personalization: From RAG to Agent

https://github.com/Ariya12138/CORAL

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CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

https://github.com/Arstanley/Awesome-Trustworthy-Retrieval-Augmented-Generation

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Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey

https://github.com/BaranziniLab/KG_RAG

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Biomedical knowledge graph-optimized prompt generation for large language models

https://github.com/BillChan226/AgentPoison

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AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases

https://github.com/DataScienceUIBK/Rankify

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Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation

https://github.com/Douglas2Code/Img2Loc

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Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation

https://github.com/EmergenceAI/dartboard

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Better RAG using Relevant Information Gain

https://github.com/EncryptedBinary/Meta_analysis

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Empowering Meta-Analysis: Leveraging Large Language Models for Scientific Synthesis

https://github.com/EricP66/Automated-Word-Extraction

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Automated Bias Assessment in AI-Generated Educational Content Using CEAT Framework

https://github.com/EsmaeilNarimissa/RAG-Retrieval-Analysis

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Exploring Information Retrieval Landscapes: An Investigation of a Novel Evaluation Techniques and Comparative Document Splitting Methods

https://github.com/ForzaETH/LLMxRobot

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Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models

https://github.com/FudanDNN-NLP/RAG

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Searching for Best Practices in Retrieval-Augmented Generation

https://github.com/GRAAL-Research/quebec-insurance-rag-corpora

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Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation

https://github.com/H-shw/futurepedia

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Not All Languages are Equal: Insights into Multilingual Retrieval-Augmented Generation

https://github.com/HITsz-TMG/KaLM-Embedding

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KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model

https://github.com/Hang422/causal-thought-graph

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Causal Graphs Meet Thoughts: Enhancing Complex Reasoning in Graph-Augmented LLMs

https://github.com/Hannibal046/xRAG

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xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token

https://github.com/IAAR-Shanghai/Meta-Chunking

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Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

https://github.com/IAAR-Shanghai/QAEncoder

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QAEncoder: Towards Aligned Representation Learning in Question Answering System

https://github.com/IBM/Retrieval-Enhanced-Transformer-Little

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Retro-li: Small-Scale Retrieval Augmented Generation Supporting Noisy Similarity Searches and Domain Shift Generalization

https://github.com/IBM/retrieve-write-slot-filling

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Zero-shot Slot Filling with DPR and RAG

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