https://github.com/liunian-jay/gainrag
공식 코드GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
GainRAG: Preference Alignment in Retrieval-Augmented Generation through Gain Signal Synthesis
LLM4Ranking: An Easy-to-use Framework of Utilizing Large Language Models for Document Reranking
XY-Cut++: Advanced Layout Ordering via Hierarchical Mask Mechanism on a Novel Benchmark
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
Ask in Any Modality: A Comprehensive Survey on Multimodal Retrieval-Augmented Generation
Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA
RAKG:Document-level Retrieval Augmented Knowledge Graph Construction
Can Language Models Replace Programmers for Coding? REPOCOD Says 'Not Yet'
Familiarity-Aware Evidence Compression for Retrieval-Augmented Generation
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis
ForPKG: A Framework for Constructing Forestry Policy Knowledge Graph and Application Analysis
Likelihood as a Performance Gauge for Retrieval-Augmented Generation
Knowledge Graph-based Retrieval-Augmented Generation for Schema Matching
Preference-based Learning with Retrieval Augmented Generation for Conversational Question Answering
A Case Study of Cross-Lingual Zero-Shot Generalization for Classical Languages in LLMs
BordIRlines: A Dataset for Evaluating Cross-lingual Retrieval-Augmented Generation
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models
Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation
AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
LLMs in Biomedicine: A study on clinical Named Entity Recognition
GASLITEing the Retrieval: Exploring Vulnerabilities in Dense Embedding-based Search
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models
MCCoder: Streamlining Motion Control with LLM-Assisted Code Generation and Rigorous Verification
Improving In-Context Learning with Small Language Model Ensembles
Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation
Beyond Scores: A Modular RAG-Based System for Automatic Short Answer Scoring with Feedback
Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQL
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.