Ryan Aponte
Ryan Aponte has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Joe Barrow, Junda Wu, Yu Xia.
OpenAlex · ORCID · h-index 5 · 12 works · 76 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 35 times in our library · ⭐ Paper Stars ranking: #7730
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workDecision Sciences · 1 workManagement Science and Operations Research · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- A Survey of Small Language Models (2024 · 31 citations)
Large language models perform well but need heavy compute, memory and data, so they usually run on centralized, specialized hardware. - From Selection to Generation: A Survey of LLM-based Active Learning (2025 · 22 citations)
Active learning (AL) traditionally lowers labeling effort by picking the most useful unlabeled examples with metrics such as uncertainty or diversity.
Co-authors here
- Joe Barrow ×2
- Junda Wu ×2
- Yu Xia ×2
- Branislav Kveton
- Chien Van Nguyen
- Franck Dernoncourt
- Hanjia Lyu
- Hongjie Chen
- Jian Chen
- Mihir Parmar
- Samyadeep Basu
- Subhojyoti Mukherjee
Venues
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/ryan-aponte/