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retrieval augmentation
retrieval augmentation
139 papers
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Also known as
RA
Co-occurring keywords
retrieval-augmented generation
(1592)
large language model
(13587)
question answering
(2963)
information retrieval
(1514)
knowledge retrieval
(330)
multimodal learning
(4645)
in-context learning
(1405)
domain adaptation
(4595)
zero-shot learning
(3650)
language model
(4599)
Papers
RAR: Retrieval-augmented retrieval for code generation in low resource languages
EMNLP 2024
KAUCUS - Knowledgeable User Simulators for Training Large Language Models
EACL 2024
FairRAG: Fair Human Generation via Fair Retrieval Augmentation
CVPR 2024
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models
ACL 2024
RaFe: Ranking Feedback Improves Query Rewriting for RAG
EMNLP 2024
ReFIR: Grounding Large Restoration Models with Retrieval Augmentation
NIPS 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting
NIPS 2024
LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation
NIPS 2024
SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM
EMNLP 2024
Small Models, Big Insights: Leveraging Slim Proxy Models To Decide When and What to Retrieve for LLMs
ACL 2024
Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning
AAAI 2024
Bryndza at ClimateActivism 2024: Stance, Target and Hate Event Detection via Retrieval-Augmented GPT-4 and LLaMA
EACL 2024
A Multi-Task Embedder For Retrieval Augmented LLMs
ACL 2024
Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation
CVPR 2024
Understanding Retrieval Robustness for Retrieval-augmented Image Captioning
ACL 2024
ZEBRA: Zero-Shot Example-Based Retrieval Augmentation for Commonsense Question Answering
EMNLP 2024
Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration
ACL 2024
Skoltech at TextGraphs-17 Shared Task: Finding GPT-4 Prompting Strategies for Multiple Choice Questions
ACL 2024
DOC-RAG: ASR Language Model Personalization with Domain-Distributed Co-occurrence Retrieval Augmentation
COLING 2024
LaMP: When Large Language Models Meet Personalization
ACL 2024
ELLA: Empowering LLMs for Interpretable, Accurate and Informative Legal Advice
ACL 2024
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever
ACL 2024
SynthesizRR: Generating Diverse Datasets with Retrieval Augmentation
EMNLP 2024
LLatrieval: LLM-Verified Retrieval for Verifiable Generation
NAACL 2024
Retrieval Helps or Hurts? A Deeper Dive into the Efficacy of Retrieval Augmentation to Language Models
NAACL 2024
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