retrieval-augmented generation

Query Rewriting in Retrieval-Augmented Large Language Models EMNLP 2023 RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models EMNLP 2023 RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation ACL 2023 ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation EMNLP 2023 RegaVAE: A Retrieval-Augmented Gaussian Mixture Variational Auto-Encoder for Language Modeling EMNLP 2023 ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval ACL 2023 Re-Imagen: Retrieval-Augmented Text-to-Image Generator ICLR 2023 Reimagining Retrieval Augmented Language Models for Answering Queries ACL 2023 ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model ICCV 2023 RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation EMNLP 2023 Retrieval-Augmented Chain-of-Thought in Semi-structured Domains EMNLP 2023 Retrieval Augmented Chest X-Ray Report Generation using OpenAI GPT models MLHC 2023 Retrieval-Augmented Few-shot Text Classification EMNLP 2023 Retrieval-augmented Image Captioning EACL 2023 Retrieval-augmented Video Encoding for Instructional Captioning ACL 2023 Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA EMNLP 2023 Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression EMNLP 2023 Retrieval-Based Transformer for Table Augmentation ACL 2023 Retrieving Multimodal Information for Augmented Generation: A Survey EMNLP 2023 REVEAL: Retrieval-Augmented Visual-Language Pre-Training With Multi-Source Multimodal Knowledge Memory CVPR 2023 Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning EMNLP 2023 RINK: Reader-Inherited Evidence Reranker for Table-and-Text Open Domain Question Answering AAAI 2023 Search Augmented Instruction Learning EMNLP 2023 Selective Demonstrations for Cross-domain Text-to-SQL EMNLP 2023 Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study EMNLP 2023