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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/pat-jj/s3

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s3: You Don't Need That Much Data to Train a Search Agent via RL

https://github.com/pdx97/sbi-rag_neurips2024

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SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation

https://github.com/pengboci/graphrag-survey

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Graph Retrieval-Augmented Generation: A Survey

https://github.com/petrosrapto/pakton

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PAKTON: A Multi-Agent Framework for Question Answering in Long Legal Agreements

https://github.com/pgraphrag-benchmark/pgr-llm

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Personalized Graph-Based Retrieval for Large Language Models

https://github.com/philipchung/verifact

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VeriFact: Verifying Facts in LLM-Generated Clinical Text with Electronic Health Records

https://github.com/phycholosogy/rag-privacy

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The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)

https://github.com/pilancilab/LLM-Lasso

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LLM-Lasso: A Robust Framework for Domain-Informed Feature Selection and Regularization

https://github.com/pillowsofwind/debateqa

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DebateQA: Evaluating Question Answering on Debatable Knowledge

https://github.com/pkargupta/claimspect

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Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced Claims

https://github.com/pku-dair/rag-survey

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Retrieval-Augmented Generation for AI-Generated Content: A Survey

https://github.com/pku-sds-lab/poqd-icml25

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POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval

https://github.com/pladifes/climate_finance_bench

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Climate Finance Bench

https://github.com/plageon/HtmlRAG

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HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems

https://github.com/pouriamrt/BHI_chatbot

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An AI-Driven Live Systematic Reviews in the Brain-Heart Interconnectome: Minimizing Research Waste and Advancing Evidence Synthesis

https://github.com/pouriarouzrokh/lattereview

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LatteReview: A Multi-Agent Framework for Systematic Review Automation Using Large Language Models

https://github.com/predlico/aragog

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ARAGOG: Advanced RAG Output Grading

https://github.com/primeqa/clapnq

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CLAPNQ: Cohesive Long-form Answers from Passages in Natural Questions for RAG systems

https://github.com/priyankamandikal/vedantany-10m

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Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian Philosophy

https://github.com/prnshv/oran-bench-13k

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ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks

https://github.com/probe2/multi-hop

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MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge

https://github.com/project-miracl/nomiracl

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"Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation

https://github.com/qhjqhj00/inforage

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Scent of Knowledge: Optimizing Search-Enhanced Reasoning with Information Foraging

https://github.com/qhjqhj00/memorag

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MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery

https://github.com/qianbozang/kg-htc

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KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification

https://github.com/qinchuanhui/uda-benchmark

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UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis

https://github.com/qingfei1/longrag

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LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering

https://github.com/qiuhaolu/tner

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Large Language Models Struggle in Token-Level Clinical Named Entity Recognition

https://github.com/qqw-ing/rag-reasonalignment

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AlignRAG: Leveraging Critique Learning for Evidence-Sensitive Retrieval-Augmented Reasoning

https://github.com/razvanip13/towards_lighter_and_robust_evaluation

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Towards Lighter and Robust Evaluation for Retrieval Augmented Generation

https://github.com/recsys-lab/rag-visualrec

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RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation

https://github.com/reml-group/deliberation-on-priors

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Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs

https://github.com/ren258/ARENA

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Effective and Transparent RAG: Adaptive-Reward Reinforcement Learning for Decision Traceability

https://github.com/responsibleailab/s3llm

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S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document

https://github.com/rezzfayyazi/lea

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LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis

https://github.com/rgu-iit-bt/cbr-for-legal-rag

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CBR-RAG: Case-Based Reasoning for Retrieval Augmented Generation in LLMs for Legal Question Answering

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