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retrieval-augmented generation

1592 papers

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Also known as

RAG

Co-occurring keywords

large language model (13587) question answering (2963) information retrieval (1514) knowledge graph (1837) retrieval augmented generation (330) language model (4599) knowledge retrieval (330) text generation (2913) in-context learning (1405) multi-hop reasoning (423)

Papers

Assessing “Implicit” Retrieval Robustness of Large Language Models EMNLP 2024
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents EMNLP 2024
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection EMNLP 2024
Position Engineering: Boosting Large Language Models through Positional Information Manipulation EMNLP 2024
Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024
Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented Generation EMNLP 2024
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering EMNLP 2024
FairRAG: Fair Human Generation via Fair Retrieval Augmentation CVPR 2024
SNIFFER: Multimodal Large Language Model for Explainable Out-of-Context Misinformation Detection CVPR 2024
Investigating LLMs as Voting Assistants via Contextual Augmentation: A Case Study on the European Parliament Elections 2024 EMNLP 2024
Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System EMNLP 2024
TimeR4 : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering EMNLP 2024
RAGViz: Diagnose and Visualize Retrieval-Augmented Generation EMNLP 2024
Two-tiered Encoder-based Hallucination Detection for Retrieval-Augmented Generation in the Wild EMNLP 2024
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024
TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models EMNLP 2024
Do Metadata and Appearance of the Retrieved Webpages Affect LLM’s Reasoning in Retrieval-Augmented Generation? EMNLP 2024
Empowering AAC Users: A Systematic Integration of Personal Narratives with Conversational AI EMNLP 2024
Trustful LLMs: Customizing and Grounding Text Generation with knowledge bases and Dual Decoders EMNLP 2024
Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers EMNLP 2024
HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications EMNLP 2024
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs EMNLP 2024
Quebec Automobile Insurance Question-Answering With Retrieval-Augmented Generation EMNLP 2024
Measuring the Groundedness of Legal Question-Answering Systems EMNLP 2024
Cross Examine: An Ensemble-based approach to leverage Large Language Models for Legal Text Analytics EMNLP 2024