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Retrieval-Augmented Generation

362 papers

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Papers

Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024
Satyrn: A Platform for Analytics Augmented Generation EMNLP 2024
MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents EMNLP 2024
From RAG to Riches: Retrieval Interlaced with Sequence Generation EMNLP 2024
Assessing “Implicit” Retrieval Robustness of Large Language Models EMNLP 2024
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation EMNLP 2024
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems EMNLP 2024
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024
Analysis of Plan-based Retrieval for Grounded Text Generation EMNLP 2024
Dense X Retrieval: What Retrieval Granularity Should We Use? EMNLP 2024
Multi-Level Information Retrieval Augmented Generation for Knowledge-based Visual Question Answering EMNLP 2024
CompAct: Compressing Retrieved Documents Actively for Question Answering EMNLP 2024
RAR: Retrieval-augmented retrieval for code generation in low resource languages EMNLP 2024
TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution EMNLP 2024
Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach EMNLP 2024
OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems EMNLP 2024
RAC: Retrieval-augmented Conversation Dataset for Open-domain Question Answering in Conversational Settings EMNLP 2024
EvoR: Evolving Retrieval for Code Generation EMNLP 2024
FASTTRACK: Reliable Fact Tracing via Clustering and LLM-Powered Evidence Validation EMNLP 2024
LumberChunker: Long-Form Narrative Document Segmentation EMNLP 2024
TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation EMNLP 2024
Who’s Who: Large Language Models Meet Knowledge Conflicts in Practice EMNLP 2024
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 2024
Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation EMNLP 2024