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Retrieval-Augmented Generation

603 directly classified papers

Papers per year

Papers

Retrieval-enriched zero-shot image classification in low-resource domains EMNLP 2024
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization EMNLP 2024
QuBE: Question-based Belief Enhancement for Agentic LLM Reasoning EMNLP 2024
CompAct: Compressing Retrieved Documents Actively for Question Answering EMNLP 2024
Synthetic Knowledge Ingestion: Towards Knowledge Refinement and Injection for Enhancing Large Language Models EMNLP 2024
RAR: Retrieval-augmented retrieval for code generation in low resource languages EMNLP 2024
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation EMNLP 2024
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering EMNLP 2024
LongRAG: A Dual-Perspective Retrieval-Augmented Generation Paradigm for Long-Context Question Answering EMNLP 2024
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion EMNLP 2024
Arxiv Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance EMNLP 2024
SparkRA: A Retrieval-Augmented Knowledge Service System Based on Spark Large Language Model EMNLP 2024
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation EMNLP 2024
Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction EMNLP 2024
PDFTriage: Question Answering over Long, Structured Documents EMNLP 2024
RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance EMNLP 2024
Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach EMNLP 2024
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach EMNLP 2024
OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems EMNLP 2024
Knowledge-augmented Financial Market Analysis and Report Generation EMNLP 2024
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output EMNLP 2024
RAG-HAT: A Hallucination-Aware Tuning Pipeline for LLM in Retrieval-Augmented Generation EMNLP 2024
Efficient Answer Retrieval System (EARS): Combining Local DB Search and Web Search for Generative QA EMNLP 2024
General Collaborative Framework between Large Language Model and Experts for Universal Information Extraction EMNLP 2024
Search if you don’t know! Knowledge-Augmented Korean Grammatical Error Correction with Large Language Models EMNLP 2024