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Federated search systems aggregate results from multiple search engines, selecting appropriate sources to enhance result quality and align with user intent.
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A deep look into neural ranking models for information retrieval
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BEIR: A Heterogeneous Benchmark for Zero-shot Evaluation of Information Retrieval Models. In Thirty-fifth Conference on Neural Information Processing Systems Datasets and Benchmarks Track (Round 2)
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Demonstrate-Search-Predict: Composing Retrieval and Language Models for Knowledge-Intensive NLP
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Lukas Gienapp, Harrisen Scells, Niklas Deckers, Janek Bevendorff, Shuai Wang, Johannes Kiesel, Shahbaz Syed, Maik Fröbe, Guide Zucoon, Benno Stein, et al · 2023
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DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines
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SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling
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Towards general text embeddings with multi-stage contrastive learning
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Direct preference optimization: Your language model is secretly a reward model
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Large language models can accurately predict searcher preferences
Paul Thomas, Seth Spielman, Nick Craswell, and Bhaskar Mitra. 2023 · 2023
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Large language models for information retrieval: A survey
Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Zhicheng Dou, and Ji-Rong Wen. 2023 · 2023
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Beyond yes and no: Improving zero-shot llm rankers via scoring fine-grained relevance labels
Honglei Zhuang, Zhen Qin, Kai Hui, Junru Wu, Le Yan, Xuanhui Wang, and Michael Berdersky. 2023a · 2023
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A Setwise Approach for Effective and Highly Efficient Zero-shot Ranking with Large Language Models
Shengyao Zhuang, Honglei Zhuang, Bevan Koopman, and Guido Zuccon. 2023b · 2023
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The Power of Noise: Redefining Retrieval for RAG Systems
Florin Cuconasu, Giovanni Trappolini, Federico Siciliano, Simone Filice, Cesare Campagnano, Yoelle Maarek, Nicola Tonellotto, and Fabrizio Silvestri. 2024 · 2024
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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. 2024a · 2024
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ReSLLM: Large Language Models are Strong Resource Selectors for Federated Search
Shuai Wang, Shengyao Zhuang, Bevan Koopman, and Guido Zuccon. 2024b · 2024
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