NLP
[Prompt Learning] Prompting Contrastive Explanations for Commonsense Reasoning Tasks
코딩무민
2022. 5. 18. 16:10
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1. 핵심 요약
- PLM : near-human performance 만큼 achieved, BUT human-interpretable evidence에는 약함
→ 이를 해결하기 위해 PLM을 “contrast alternatives”를 이용한 explanation prompts로 완성
e.g. peanuts are usally salty while raisins are sweet
2. 논문 링크
https://arxiv.org/abs/2106.06823
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Many commonsense reasoning NLP tasks involve choosing between one or more possible answers to a question or prompt based on knowledge that is often implicit. Large pretrained language models (PLMs) can achieve near-human performance on such tasks, while pr
arxiv.org
3. 논문 설명 링크
Prompting Contrastive Explanations for Commonsense Reasoning Tasks
Abstract
coding-moomin.notion.site
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