Gen-IR@SIGIR 2023: The First Workshop on Generative Information Retrieval

Author:

Bénédict Garbiel1ORCID,Zhang Ruqing2ORCID,Metzler Donald3ORCID

Affiliation:

1. University of Amsterdam and RTL NL, Amsterdam, Netherlands

2. ICT, Chinese Academy of Sciences, Beijing, China

3. Google Research, Mountain View, USA

Publisher

ACM

Reference28 articles.

1. Yuntao Bai Saurav Kadavath Sandipan Kundu Amanda Askell Jackson Kernion Andy Jones Anna Chen Anna Goldie Azalia Mirhoseini Cameron McKinnon Carol Chen Catherine Olsson Christopher Olah Danny Hernandez Dawn Drain Deep Ganguli Dustin Li Eli Tran-Johnson Ethan Perez Jamie Kerr Jared Mueller Jeffrey Ladish Joshua Landau Kamal Ndousse Kamile Lukosuite Liane Lovitt Michael Sellitto Nelson Elhage Nicholas Schiefer Noemi Mercado Nova DasSarma Robert Lasenby Robin Larson Sam Ringer Scott Johnston Shauna Kravec Sheer El Showk Stanislav Fort Tamera Lanham Timothy Telleen-Lawton Tom Conerly Tom Henighan Tristan Hume Samuel R. Bowman Zac Hatfield-Dodds Ben Mann Dario Amodei Nicholas Joseph Sam McCandlish Tom Brown and Jared Kaplan. 2022. Constitutional AI: Harmlessness from AI Feedback. https://doi.org/10.48550/ARXIV.2212.08073 10.48550/ARXIV.2212.08073

2. Yuntao Bai Saurav Kadavath Sandipan Kundu Amanda Askell Jackson Kernion Andy Jones Anna Chen Anna Goldie Azalia Mirhoseini Cameron McKinnon Carol Chen Catherine Olsson Christopher Olah Danny Hernandez Dawn Drain Deep Ganguli Dustin Li Eli Tran-Johnson Ethan Perez Jamie Kerr Jared Mueller Jeffrey Ladish Joshua Landau Kamal Ndousse Kamile Lukosuite Liane Lovitt Michael Sellitto Nelson Elhage Nicholas Schiefer Noemi Mercado Nova DasSarma Robert Lasenby Robin Larson Sam Ringer Scott Johnston Shauna Kravec Sheer El Showk Stanislav Fort Tamera Lanham Timothy Telleen-Lawton Tom Conerly Tom Henighan Tristan Hume Samuel R. Bowman Zac Hatfield-Dodds Ben Mann Dario Amodei Nicholas Joseph Sam McCandlish Tom Brown and Jared Kaplan. 2022. Constitutional AI: Harmlessness from AI Feedback. https://doi.org/10.48550/ARXIV.2212.08073

3. Bernd Bohnet , Vinh Q. Tran , Pat Verga , Roee Aharoni , Daniel Andor , Livio Baldini Soares , Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni , Tal Schuster , William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, and Kellie Webster. 2022. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. https://doi.org/10.48550/ARXIV.2212.08037 10.48550/ARXIV.2212.08037 Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, and Kellie Webster. 2022. Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. https://doi.org/10.48550/ARXIV.2212.08037

4. Nicola De Cao , Gautier Izacard , Sebastian Riedel , and Fabio Petroni . 2020. Autoregressive Entity Retrieval. CoRR , Vol. abs/ 2010 .00904 ( 2020 ). https://arxiv.org/abs/2010.00904 Nicola De Cao, Gautier Izacard, Sebastian Riedel, and Fabio Petroni. 2020. Autoregressive Entity Retrieval. CoRR, Vol. abs/2010.00904 (2020). https://arxiv.org/abs/2010.00904

5. GERE: Generative Evidence Retrieval for Fact Verification

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1. Evaluating Generative Ad Hoc Information Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

2. Recent Advances in Generative Information Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

3. Gen-IR @ SIGIR 2024: The Second Workshop on Generative Information Retrieval;Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval;2024-07-10

4. Recent Advances in Generative Information Retrieval;Companion Proceedings of the ACM Web Conference 2024;2024-05-13

5. Recent Advances in Generative Information Retrieval;Lecture Notes in Computer Science;2024

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