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Retrieval-Augmented Generation

263 directly classified papers

Papers per year

Papers

Satyrn: A Platform for Analytics Augmented Generation EMNLP 2024
From RAG to Riches: Retrieval Interlaced with Sequence Generation EMNLP 2024
Retrieval-Augmented Egocentric Video Captioning CVPR 2024
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation EMNLP 2024
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024
Assessing “Implicit” Retrieval Robustness of Large Language Models EMNLP 2024
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024
Multi-Level Information Retrieval Augmented Generation for Knowledge-based Visual Question Answering EMNLP 2024
Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach EMNLP 2024
Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison NAACL 2024
OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems EMNLP 2024
LumberChunker: Long-Form Narrative Document Segmentation EMNLP 2024
Query Routing for Homogeneous Tools: An Instantiation in the RAG Scenario EMNLP 2024
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models AAAI 2024
Learning to Rank in Generative Retrieval AAAI 2024
KnowGPT: Knowledge Graph based Prompting for Large Language Models NIPS 2024
Ad Auctions for LLMs via Retrieval Augmented Generation NIPS 2024
Boosting the Potential of Large Language Models with an Intelligent Information Assistant NIPS 2024
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation ACL 2024
SciMON: Scientific Inspiration Machines Optimized for Novelty ACL 2024
BeamAggR: Beam Aggregation Reasoning over Multi-source Knowledge for Multi-hop Question Answering ACL 2024
Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding ACL 2024
M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions ACL 2024
Enhancing Noise Robustness of Retrieval-Augmented Language Models with Adaptive Adversarial Training ACL 2024
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models ACL 2024