Papers with mixed-method approach

2 papers
Detecting Impact Relevant Sections in Scientific Research (2024.lrec-main)

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Challenge: Impact assessment is an evolving area of research that aims at measuring and predicting the potential effects of projects or programs.
Approach: They propose a framework for automatically assessing the impact of scientific research by identifying pertinent sections in project reports that indicate potential impacts.
Outcome: The proposed method achieves accuracy scores up to 0.81 and is generalizable to scientific research from different domains and languages.
Searching for Needles in a Haystack: On the Role of Incidental Bilingualism in PaLM’s Translation Capability (2023.acl-long)

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Challenge: Large multilingual language models exhibit impressive zero- or few-shot machine translation capabilities, despite never having been explicitly and intentionally exposed to translation data.
Approach: They propose a mixed-method approach to measure and understand incidental bilingualism at scale using the Pathways Language Model.
Outcome: The proposed model is exposed to over 30 million translation pairs across at least 44 languages.

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