Retrieval-Augmented Generation
606 papers
Papers per year
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Papers
Provenance: A Light-weight Fact-checker for Retrieval Augmented LLM Generation Output
EMNLP 2024
QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs
EMNLP 2024
QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism
EMNLP 2024
QuBE: Question-based Belief Enhancement for Agentic LLM Reasoning
EMNLP 2024
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario
EMNLP 2024
R2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
EMNLP 2024
RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance
EMNLP 2024
RAG-Fusion Based Information Retrieval for Fact-Checking
EMNLP 2024
RAG-HAT: A Hallucination-Aware Tuning Pipeline for LLM in Retrieval-Augmented Generation
EMNLP 2024
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
EMNLP 2024
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering
EMNLP 2024
RAGraph: A General Retrieval-Augmented Graph Learning Framework
NeurIPS 2024
RA-ISF: Learning to Answer and Understand from Retrieval Augmentation via Iterative Self-Feedback
ACL 2024
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records
ACL 2024
RAR: Retrieval-augmented retrieval for code generation in low resource languages
EMNLP 2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
EMNLP 2024
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models
NeurIPS 2024
Reformulating Domain Adaptation of Large Language Models as Adapt-Retrieve-Revise: A Case Study on Chinese Legal Domain
ACL 2024
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System
EMNLP 2024
RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation
EMNLP 2024
Retrieval-Augmented Code Generation for Situated Action Generation: A Case Study on Minecraft
EMNLP 2024
Retrieval-Augmented Egocentric Video Captioning
CVPR 2024
Retrieval-augmented generation in multilingual settings
ACL 2024
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach
EMNLP 2024
Retrieval-Augmented Knowledge Integration into Language Models: A Survey
ACL 2024