Recent Advances in Generative Information Retrieval

Author:

Tang Yubao1ORCID,Zhang Ruqing1ORCID,Sun Weiwei2ORCID,Guo Jiafeng1ORCID,De Rijke Maarten3ORCID

Affiliation:

1. CAS Key Lab of Network Data Science and Technology, ICT, CAS & University of Chinese Academy of Sciences, Beijing, China

2. Shandong University, Qingdao, China

3. University of Amsterdam, Amsterdam, Netherlands

Funder

None

the National Natural Science Foundation of China

Void

the Hybrid Intelligence Center

LESSEN; the research program NWA ORC 2020/21

the Lenovo-CAS Joint Lab Youth Scientist Project

Publisher

ACM

Reference35 articles.

1. Gabriel Bénédict Ruqing Zhang and Donald Metzler. 2023. Gen-IR@ SIGIR 2023: The First Workshop on Generative Information Retrieval. In SIGIR. 3460--3463.

2. Michele Bevilacqua Giuseppe Ottaviano Patrick Lewis Wen-tau Yih Sebastian Riedel and Fabio Petroni. 2022. Autoregressive Search Engines: Generating Substrings as Document Identifiers. In NeurIPS. 31668--31683.

3. Jiangui Chen Ruqing Zhang Jiafeng Guo Maarten de Rijke Wei Chen Yixing Fan and Xueqi Cheng. 2023. Continual Learning for Generative Retrieval over Dynamic Corpora. In CIKM. 306--315.

4. Jiangui Chen Ruqing Zhang Jiafeng Guo Maarten de Rijke Yiqun Liu Yixing Fan and Xueqi Cheng. 2023. A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. In SIGIR. 1448--1457.

5. Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, and Xueqi Cheng. 2022. GERE: Generative evidence retrieval for fact verification. In SIGIR. 2184--2189.

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