14 citations · 14 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Scaling Laws of Motion Forecasting and Planning -- Technical Report
Mustafa Baniodeh, Kratarth Goel, Scott Ettinger +14
We study the empirical scaling laws of a family of encoder-decoder autoregressive transformer models on the task of joint motion forecasting and planning in the autonomous driving…
cs.CL2019★ 14 cited
Bridging the Gap for Tokenizer-Free Language Models
Dokook Choe, Rami Al-Rfou, Mandy Guo +2
Purely character-based language models (LMs) have been lagging in quality on large scale datasets, and current state-of-the-art LMs rely on word tokenization. It has been assumed t…
cs.CL2018
Character-Level Language Modeling with Deeper Self-Attention
Rami Al-Rfou, Dokook Choe, Noah Constant +2
LSTMs and other RNN variants have shown strong performance on character-level language modeling. These models are typically trained using truncated backpropagation through time, an…