← Back to papers
2024 EMNLP EMNLP 2024

Scaling Behavior for Large Language Models regarding Numeral Systems: An Example using Pythia

🧭 Keyword Pioneer — numerical understanding
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio

Authors

Zhejian Zhou , Jiayu Wang , Dahua Lin , Kai Chen

Topics

Natural Language Processing > Resources & Methods > Large Language Models

Keywords

numerical understanding scaling law pretrained language model large language model
Download PDF

Related papers

EmbodiedBERT: Cognitively Informed Metaphor Detection Incorporating Sensorimotor Information 2024
Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation 2024
Learning to Extract Structured Entities Using Language Models 2024
Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis 2024
CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages 2024