Jincheng Yu
Jincheng Yu has 2 papers in our library, in 2023, most of them on Language models & pretraining, Reasoning, Vision & language; often with James Tin-Yau Kwok, Zhenguo Li, Enze Xie.
No OpenAlex profile matched yet.
📄 2 works in our library · 🔗 Cited 617 times in our library · ⭐ Paper Stars ranking: #3626
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksComputer Vision and Pattern Recognition · 1 workArtificial Intelligence · 1 workArts and Humanities · 1 workComputational Theory and Mathematics · 1 workLanguage and Linguistics · 1 workMathematics · 1 work
🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 workVision & language · 1 work
Works by year
2020s
Papers
- MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models (2023 · 565 citations)
Open-source LLMs such as LLaMA-2 lag well behind closed models on multi-step maths word problems. Fine-tuning helps, but it depends on having enough varied training questions. MetaMath addresses this by growing the GSM8K and MATH training sets from the question side as well as the answer side, producing a dataset… - PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis (2023 · 87 citations)
Training state-of-the-art text-to-image (T2I) diffusion models takes thousands of GPU days and hundreds of thousands of dollars.
Co-authors here
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/jincheng-yu/