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Carrot and Stick: Inducing Self-Motivation with Positive & Negative Feedback

arXiv 2406.16521 ↗First posted 24 Jun 2024cs.CL cs.AIcited by 0

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Abstract (arXiv)

Positive thinking is thought to be an important component of self-motivation in various practical fields such as education and the workplace. Previous work, including sentiment transfer and positive reframing, has focused on the positive side of language. However, self-motivation that drives people to reach their goals has not yet been studied from a computational perspective. Moreover, negative feedback has not yet been explored, even though positive and negative feedback are both necessary to grow self-motivation. To facilitate self-motivation, we propose CArrot and STICk (CASTIC) dataset, consisting of 12,590 sentences with 5 different strategies for enhancing self-motivation. Our data and code are publicly available at here.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 22 references that are in the map. First posted on arXiv 24 Jun 2024.

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References · 11

  1. 2020Language Models are Few-Shot Learnerscited by 32,419
  2. 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
  3. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,170
  4. 2019BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehensioncited by 5,893
  5. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  6. 2023Can Large Language Models Be an Alternative to Human Evaluations?cited by 734
  7. 2020Beyond English-Centric Multilingual Machine Translationcited by 561
  8. 2023Cognitive Reframing of Negative Thoughts through Human-Language Model Interactioncited by 77
  9. 2023Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledgecited by 32
  10. 2023Training Models to Generate, Recognize, and Reframe Unhelpful Thoughtscited by 31
  11. 2023TalkUp: Paving the Way for Understanding Empowering Languagecited by 3

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