Publisher
Springer Nature Switzerland
Reference33 articles.
1. Bénédict, G., Zhang, R., Metzler, D.: Gen-IR@SIGIR 2023: the first workshop on generative information retrieval. In: SIGIR, pp. 3460–3463 (2023)
2. Bevilacqua, M., Ottaviano, G., Lewis, P., Yih, W.T., Riedel, S., Petroni, F.: Autoregressive search engines: generating substrings as document identifiers. In: NeurIPS, pp. 31668–31683 (2022)
3. Chen, J., Zhang, R., Guo, J., Fan, Y., Cheng, X.: GERE: generative evidence retrieval for fact verification. In: SIGIR, pp. 2184–2189 (2022)
4. Chen, J., Zhang, R., Guo, J., Liu, Y., Fan, Y., Cheng, X.: CorpusBrain: pre-train a generative retrieval model for knowledge-intensive language tasks. In: CIKM, pp. 191–200 (2022)
5. Chen, J., et al.: Continual learning for generative retrieval over dynamic corpora. In: CIKM, pp. 306–315 (2023)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献