Works of Toyota Research Institute from 2024
- SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, et al.2024 · 54 citations
- Language models scale reliably with over-training and on downstream tasksarXiv:2403.08540Samir Yitzhak Gadre, Georgios Smyrnis, Vaishaal Shankar, et al.2024 · 46 citations
- Linearizing Large Language ModelsarXiv:2405.06640Jean Mercat, Igor Vasiljevic, Sedrick Keh, et al.2024 · 16 citations
This page in Markdown → https://md.research.elamur.ai/free/en/labs/toyota-research-institute/year/2024/