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Systematic reviews (SRs) - the librarian-assisted literature survey of scholarly articles takes time and requires significant human resources.
Use of recommended search strategies in systematic reviews and the impact of librarian involvement: a cross-sectional survey of recent authors
Koffel, J. B. 2015 · 2015
Earlier work this paper cites.
Analysis of the time and workers needed to conduct systematic reviews of medical interventions using data from the PROSPERO registry
Borah, R.; Brown, A. W.; Capers, P. L.; and Kaiser, K. A. 2017 · 2017
Earlier work this paper cites.
It takes longer than you think: librarian time spent on systematic review tasks
Bullers, K.; Howard, A. M.; Hanson, A.; Kearns, W. D.; Orriola, J. J.; Polo, R. L.; and Sakmar, K. A. 2018 · 2018
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Lewis, P.; Perez, E.; Piktus, A.; Petroni, F.; Karpukhin, V.; Goyal, N.; Küttler, H.; Lewis, M.; Yih, W.-t.; Rocktäschel, T.; et al. 2020 · 2020
Earlier work this paper cites.
Knowledge enhanced masked language model for stance detection
Kawintiranon, K.; and Singh, L. 2021 · 2021
Earlier work this paper cites.
Internet-augmented dialogue generation
Komeili, M.; Shuster, K.; and Weston, J. 2021 · 2021
Cited alongside, same era.
Knowledge infused policy gradients with upper confidence bound for relational bandits
Roy, K.; Zhang, Q.; Gaur, M.; and Sheth, A. 2021 · 2021
Cited alongside, same era.
Knowledge-intensive language understanding for explainable ai
Sheth, A.; Gaur, M.; Roy, K.; and Faldu, K. 2021 · 2021
Cited alongside, same era.
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts
Gupta, S.; Agarwal, A.; Gaur, M.; Roy, K.; Narayanan, V.; Kumaraguru, P.; and Sheth, A. 2022 · 2022
Cited alongside, same era.
Tutorial: Neuro-symbolic AI for Mental Healthcare
Roy, K.; Lokala, U.; Gaur, M.; and Sheth, A. P. 2022 · 2022
Cited alongside, same era.
TDLR: Top Semantic-Down Syntactic Language Representation
Roy, K.; and Rawte, V. 2022 · 2022
Later among the works it cites.
Process knowledge-infused ai: Toward user-level explainability, interpretability, and safety
Sheth, A.; Gaur, M.; Roy, K.; Venkataraman, R.; and Khandelwal, V. 2022 · 2022
Later among the works it cites.
Proknow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance
Roy, K.; Gaur, M.; Soltani, M.; Rawte, V.; Kalyan, A.; and Sheth, A. 2023 · 2023
Closest in time.
Neurosymbolic Artificial Intelligence (Why, What, and How)
Sheth, A.; Roy, K.; and Gaur, M. 2023 · 2023
Closest in time.
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