https://github.com/tanay2001/core
공식 코드CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation
Papers with Code 아카이브
Retrieval-augmented Generation
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tangqiaoyu/selfretrieval
공식 코드Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
https://github.com/tanqiujiang/rapid
공식 코드RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models
https://github.com/taugroup/thinktank
공식 코드https://github.com/tayebiarasteh/radiorag
공식 코드https://github.com/teamnlp/typed-rag
공식 코드Typed-RAG: Type-aware Multi-Aspect Decomposition for Non-Factoid Question Answering
https://github.com/teddy-xionggz/medrag
공식 코드https://github.com/teddy-xionggz/mirage
공식 코드https://github.com/temporarylora/block-attention
공식 코드https://github.com/terrierteam/pyterrier_rag
공식 코드Constructing and Evaluating Declarative RAG Pipelines in PyTerrier
https://github.com/terry-cyx/metaopenfoam
공식 코드https://github.com/the-bird-F/GLM-Voice-RAG
공식 코드Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation
https://github.com/the-finai/pixiu
공식 코드FinBen: A Holistic Financial Benchmark for Large Language Models
https://github.com/thedatastation/pneuma
공식 코드Pneuma: Leveraging LLMs for Tabular Data Representation and Retrieval in an End-to-End System
https://github.com/theworldofagents/agentic-reasoning
공식 코드Agentic Reasoning: Reasoning LLMs with Tools for the Deep Research
https://github.com/thisishwang/exit
공식 코드EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented Generation
https://github.com/thu-keg/rearag
공식 코드https://github.com/thu-keg/seakr
공식 코드SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation
https://github.com/thunlp/adaptive-note
공식 코드Retriever-and-Memory: Towards Adaptive Note-Enhanced Retrieval-Augmented Generation
https://github.com/thunlp/clueanchor
공식 코드https://github.com/thunlp/kbalign
공식 코드KBAlign: Efficient Self Adaptation on Specific Knowledge Bases
https://github.com/thusharamanjari/rag_llm_causalitymining
공식 코드Retrieval Augmented Generation based Large Language Models for Causality Mining
https://github.com/tianyao-aka/rapl
공식 코드Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering
https://github.com/tifat58/enhanced-interpretable-report-generation-demo
공식 코드https://github.com/tifat58/irr-with-cbm-rag
공식 코드Towards Interpretable Radiology Report Generation via Concept Bottlenecks using a Multi-Agentic RAG
https://github.com/tigerchen52/pub_guard_llm
공식 코드Pub-Guard-LLM: Detecting Fraudulent Biomedical Articles with Reliable Explanations
https://github.com/tisage/cybermentor
공식 코드https://github.com/tjzvbokbnft/ELITE-Embedding-Less-retrieval-with-Iterative-Text-Exploration
공식 코드ELITE: Embedding-Less retrieval with Iterative Text Exploration
https://github.com/tkenneweg/rag_dataset_gen
공식 코드https://github.com/tobischimanski/climretrieve
공식 코드ClimRetrieve: A Benchmarking Dataset for Information Retrieval from Corporate Climate Disclosures
https://github.com/tomsawyerhu/lrp4rag
공식 코드https://github.com/toneli/petailor-for-bio-triple-extraction
공식 코드BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine
https://github.com/tongji-kgllm/rag-survey
공식 코드Retrieval-Augmented Generation for Large Language Models: A Survey
https://github.com/tongji-kgllm/u-niah
공식 코드U-NIAH: Unified RAG and LLM Evaluation for Long Context Needle-In-A-Haystack
https://github.com/tpoisonooo/huixiangdou2
공식 코드https://github.com/trae1oung/dyprag
공식 코드Dynamic Parametric Retrieval Augmented Generation for Test-time Knowledge Enhancement
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.