knowledge-intensive task

Open-RAG: Enhanced Retrieval Augmented Reasoning with Open-Source Large Language Models EMNLP 2024 RA-DIT: Retrieval-Augmented Dual Instruction Tuning ICLR 2024 ReFusion: Improving Natural Language Understanding with Computation-Efficient Retrieval Representation Fusion ICLR 2024 Retrieval is Accurate Generation ICLR 2024 Scaling Retrieval-Based Language Models with a Trillion-Token Datastore NeurIPS 2024 Understanding Finetuning for Factual Knowledge Extraction ICML 2024 Atlas: Few-shot Learning with Retrieval Augmented Language Models JMLR 2023 Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In ACL 2023 Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators EMNLP 2023 FiDO: Fusion-in-Decoder optimized for stronger performance and faster inference ACL 2023 KILM: Knowledge Injection into Encoder-Decoder Language Models ACL 2023 Knowledge Rumination for Pre-trained Language Models EMNLP 2023 Query Rewriting in Retrieval-Augmented Large Language Models EMNLP 2023 Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive Study EMNLP 2023 The Web Can Be Your Oyster for Improving Language Models ACL 2023 Unsupervised Improvement of Factual Knowledge in Language Models EACL 2023 An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks EMNLP 2022 Autoregressive Search Engines: Generating Substrings as Document Identifiers NeurIPS 2022 Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks NAACL 2022 Improving Language Models by Retrieving from Trillions of Tokens ICML 2022 Retrieval-augmented Generation across Heterogeneous Knowledge NAACL 2022 Multi-Task Retrieval for Knowledge-Intensive Tasks ACL 2021 ReadTwice: Reading Very Large Documents with Memories NAACL 2021 SMedBERT: A Knowledge-Enhanced Pre-trained Language Model with Structured Semantics for Medical Text Mining ACL 2021 Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks NeurIPS 2020