Papers by Jesus Lovon-Melgarejo

1 papers
Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at Each Single-Hop? (2022.coling-1)

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Challenge: Recent developments have shown that pre-trained language models are effective soft reasoners over language.
Approach: They propose to model multi-hop reasoning process as a sequence of explicit single-hop steps.
Outcome: The proposed model improves on multiple-choice question answering and reading comprehension with 68.4% and 16.0% w.r.t. classic PLMs.

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