CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks

Author:

Li Xiaoxi1ORCID,Dou Zhicheng1ORCID,Zhou Yujia1ORCID,Liu Fangchao2ORCID

Affiliation:

1. Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China

2. Huawei Poisson Lab, Beijing, China

Funder

Beijing Natural Science Foundation

National Natural Science Foundation of China

Publisher

ACM

Reference67 articles.

1. Michele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Scott Yih, Sebastian Riedel, and Fabio Petroni. 2022. Autoregressive Search Engines: Generating Substrings as Document Identifiers. In Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022, Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, and A. Oh (Eds.). http://papers.nips.cc/paper_files/paper/2022/hash/cd88d62a2063fdaf7ce6f9068fb15dcd-Abstract-Conference.html

2. Improving Language Models by Retrieving from Trillions of Tokens. In International Conference on Machine Learning;Borgeaud Sebastian;ICML,2022

3. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901.

4. Nicola De Cao, Gautier Izacard, Sebastian Riedel, and Fabio Petroni. 2021. Autoregressive Entity Retrieval. In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3--7, 2021. OpenReview.net. https://openreview.net/forum?id=5k8F6UU39V

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