Evaluating Generative Ad Hoc Information Retrieval-Reference-Cited by-同舟云学术

Evaluating Generative Ad Hoc Information Retrieval

Published:2024-07-10 Issue: Volume:3 Page:1916-1929
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Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Gienapp Lukas¹^ORCID,Scells Harrisen²^ORCID,Deckers Niklas¹^ORCID,Bevendorff Janek²^ORCID,Wang Shuai³^ORCID,Kiesel Johannes⁴^ORCID,Syed Shahbaz²^ORCID,Fröbe Maik⁵^ORCID,Zuccon Guido³^ORCID,Stein Benno⁴^ORCID,Hagen Matthias⁵^ORCID,Potthast Martin⁶^ORCID

Affiliation:

1. Leipzig University & ScaDS.AI, Leipzig, Germany

2. Leipzig University, Leipzig, Germany

3. School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia

4. Bauhaus-Universität Weimar, Weimar, Germany

5. Friedrich-Schiller-Universität Jena, Jena, Germany

6. University of Kassel & hessian.AI, Kassel, Germany

Funder

Bundesministerium für Bildung und Forschung

Sächsisches Staatsministerium für Wissenschaft und Kunst

Horizon Europe European Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657849

Reference152 articles.

1. Evaluation Methodologies in Information Retrieval (Dagstuhl Seminar 13441);Agosti Maristella;Dagstuhl Reports,2014

2. Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study

3. Hussam Alkaissi and Samy I. McFarlane. 2023. Artificial Hallucinations in ChatGPT: Implications in Scientific Writing. Cureus, Vol. 15, 2 (2023), bibinfonumpages4 pages.

4. Negar Arabzadeh, Amin Bigdeli, and Charles L. A. Clarke. 2024. Adapting Standard Retrieval Benchmarks to Evaluate Generated Answers. In Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24--28, 2024, Proceedings, Part II (Lecture Notes in Computer Science, Vol. 14609), Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, and Iadh Ounis (Eds.). Springer, 399--414.

5. Negar Arabzadeh and Charles L. A. Clarke. 2024. A Comparison of Methods for Evaluating Generative IR. arXiv 2404.04044.

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