Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
On Training in Imagination
Nadav Timor, Ravid Shwartz-Ziv, Micah Goldblum +2
State-of-the-art model-based reinforcement learning methods train policies on imagined rollouts. These rollouts are trajectories generated by a learned dynamics model and are score…
cs.LG2025
Out-of-Vocabulary Sampling Boosts Speculative Decoding
Nadav Timor, Jonathan Mamou, Oren Pereg +2
Speculative decoding relies on fast and accurate drafters. Recent state-of-the-art language models employ larger and larger vocabularies, which significantly slows down drafters. O…