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Federated search, which involves integrating results from multiple independent search engines, will become increasingly pivotal in the context of Retrieval-Augmented Generation pipelines empowering LLM-based applications such as chatbots.
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Demonstrate-Search-Predict: Composing Retrieval and Language Models for Knowledge-Intensive NLP
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Improving Passage Retrieval with Zero-Shot Question Generation. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing . Association for Computational Linguistics, Abu Dhabi, United Arab Emirates, 3781–3797
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Large language models can accurately predict searcher preferences
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Llama: Open and efficient foundation language models
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Llama 2: Open foundation and fine-tuned chat models
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Generating natural language queries for more effective systematic review screening prioritisation. In Proceedings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region . 73–83
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Balanced Topic Aware Sampling for Effective Dense Retriever: A Reproducibility Study. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (<conf-loc>, <city>Taipei</city>, <country>Taiwan</country>, </conf-loc>) (SIGIR ’23) . Association for Computing Machinery, New York, NY, USA, 2542–2551
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Exploring the limits of chatgpt for query or aspect-based text summarization
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Benchmarking large language models for news summarization
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Beyond yes and no: Improving zero-shot llm rankers via scoring fine-grained relevance labels
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Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking. In Findings of the Association for Computational Linguistics: EMNLP 2023 , Houda Bouamor, Juan Pino, and Kalika Bali (Eds.). Association for Computational Linguistics, Singapore, 8807–8817
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Zero-shot Generative Large Language Models for Systematic Review Screening Automation
Shuai Wang, Harrisen Scells, Shengyao Zhuang, Martin Potthast, Bevan Koopman, and Guido Zuccon. 2024 · 2024
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