retrieval augmentation

Strong and Efficient Baselines for Open Domain Conversational Question Answering EMNLP 2023 TCRA-LLM: Token Compression Retrieval Augmented Large Language Model for Inference Cost Reduction EMNLP 2023 The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models EMNLP 2023 Towards Example-Based NMT with Multi-Levenshtein Transformers EMNLP 2023 When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories ACL 2023 Domain-Specific NER via Retrieving Correlated Samples COLING 2022 Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning AAAI 2022 QUILL: Query Intent with Large Language Models using Retrieval Augmentation and Multi-stage Distillation EMNLP 2022 RACE: Retrieval-augmented Commit Message Generation EMNLP 2022 Retrieval Augmentation for Commonsense Reasoning: A Unified Approach EMNLP 2022 Retrieval-Augmented Diffusion Models NeurIPS 2022 Retrieval Augmented Visual Question Answering with Outside Knowledge EMNLP 2022 Unsupervised Cross-Task Generalization via Retrieval Augmentation NeurIPS 2022 Controllable Semantic Parsing via Retrieval Augmentation EMNLP 2021 Cross-Modal Retrieval Augmentation for Multi-Modal Classification EMNLP 2021 Efficient Nearest Neighbor Language Models EMNLP 2021 Retrieval Augmentation Reduces Hallucination in Conversation EMNLP 2021 Incorporating External Knowledge through Pre-training for Natural Language to Code Generation ACL 2020 Open Domain Event Text Generation AAAI 2020 Retrieval Augmented Language Model Pre-Training ICML 2020