Papers with Code 아카이브

Retrieval-augmented Generation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법 전체 데이터셋

하위 태스크: 0
평가표: 0
보존된 평가 기록: 0

코드

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

https://github.com/jpickard1/brad

공식 코드

Language Model Powered Digital Biology with BRAD

https://github.com/jsalt2024-evaluating-llms-for-astronomy/astro-arxiv-bot

공식 코드

Designing an Evaluation Framework for Large Language Models in Astronomy Research

https://github.com/justinhjy1004/fairuselegalbot

공식 코드

Incorporating Legal Structure in Retrieval-Augmented Generation: A Case Study on Copyright Fair Use

https://github.com/jvladika/ContextRAG

공식 코드

On the Influence of Context Size and Model Choice in Retrieval-Augmented Generation Systems

https://github.com/jwoongkim11/qa-rag

공식 코드

From RAG to QA-RAG: Integrating Generative AI for Pharmaceutical Regulatory Compliance Process

https://github.com/jyfang6/trace

공식 코드

TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation

https://github.com/jzbjyb/flare

공식 코드

Active Retrieval Augmented Generation

https://github.com/karthiksoman/zebra-Llama

공식 코드

Zebra-Llama: A Context-Aware Large Language Model for Democratizing Rare Disease Knowledge

https://github.com/kdr/videorag-mrr2024

공식 코드

Video Enriched Retrieval Augmented Generation Using Aligned Video Captions

https://github.com/kdu4108/context-vs-prior-finetuning

공식 코드

Controllable Context Sensitivity and the Knob Behind It

https://github.com/kevinwu23/stanfordclasheval

공식 코드

ClashEval: Quantifying the tug-of-war between an LLM's internal prior and external evidence

https://github.com/kimdanny/fair-rag

공식 코드

Towards Fair RAG: On the Impact of Fair Ranking in Retrieval-Augmented Generation

https://github.com/kimdanny/starlight-liverag

공식 코드

LTRR: Learning To Rank Retrievers for LLMs

https://github.com/kkskp/re-rag

공식 코드

RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation

https://github.com/kmswin1/qpaug

공식 코드

QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs

https://github.com/kortukov/realistic_knowledge_conflicts

공식 코드

Studying Large Language Model Behaviors Under Context-Memory Conflicts With Real Documents

https://github.com/krishgoel/chronocept-baseline-models

공식 코드

Chronocept: Instilling a Sense of Time in Machines

https://github.com/krishgoel/hiro

공식 코드

HIRO: Hierarchical Information Retrieval Optimization

https://github.com/krystalan/RAGtrans

공식 코드

Retrieval-Augmented Machine Translation with Unstructured Knowledge

https://github.com/kuehnram/findyourfigure

공식 코드

Enhancing Rhetorical Figure Annotation: An Ontology-Based Web Application with RAG Integration

https://github.com/kumarmanas/SHIFT

공식 코드

Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep Classification

https://github.com/kushagrabhushan/Systematic-Knowledge-Injection

공식 코드

Systematic Knowledge Injection into Large Language Models via Diverse Augmentation for Domain-Specific RAG

https://github.com/kutaytire/retrieval-augmented-time-series-forecasting

공식 코드

Retrieval Augmented Time Series Forecasting

https://github.com/lanl/t-elf

공식 코드

HEAL: Hierarchical Embedding Alignment Loss for Improved Retrieval and Representation Learning

https://github.com/lanzhang128/retrieval_augmented_autoformalization

공식 코드

Consistent Autoformalization for Constructing Mathematical Libraries

https://github.com/laquabe/know3rag

공식 코드

Know3-RAG: A Knowledge-aware RAG Framework with Adaptive Retrieval, Generation, and Filtering

https://github.com/lbox-kr/kbl

공식 코드

Developing a Pragmatic Benchmark for Assessing Korean Legal Language Understanding in Large Language Models

https://github.com/lcy80366872/knowledgeable-r1

공식 코드

Knowledgeable-r1: Policy Optimization for Knowledge Exploration in Retrieval-Augmented Generation

https://github.com/ldilab/ecorag

공식 코드

ECoRAG: Evidentiality-guided Compression for Long Context RAG

https://github.com/leezekun/macrag

공식 코드

MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAG

https://github.com/leililab/rare

공식 코드

RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems

https://github.com/lemingshen/GPIoT

공식 코드

GPIoT: Tailoring Small Language Models for IoT Program Synthesis and Development

https://github.com/leon1207/video-rag-master

공식 코드

Video-RAG: Visually-aligned Retrieval-Augmented Long Video Comprehension

https://github.com/li-z-q/structrag

공식 코드

StructRAG: Boosting Knowledge Intensive Reasoning of LLMs via Inference-time Hybrid Information Structurization

https://github.com/liano3/RAG-fairness

공식 코드

The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation

https://github.com/lightblue-tech/aloftrag

공식 코드

ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation

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