September 21, 2022 preprint Open access Generate rather than Retrieve: Large Language Models are Strong Context Generators arXiv (Cornell University) DOI: 10.48550/arxiv.2209.10063 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 3 stored of 85 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) conference-paper Computer Science Information Retrieval and Search Behavior Open access 235 citations Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) conference-paper Computer Science Information Retrieval and Search Behavior Open access 7 citations Towards a Unified Framework for Reference Retrieval and Related Work Generation 2023 conference-paper Computer Science Topic Modeling Open access 7 citations 3 results References 0