Every paper, note, and technical report the lab has published. Most are long; many include code and reproductions. Sorted by date.
All research, in chronological order.
01
The Unreasonable Efficiency of a Single Gradient Step



02
When does distillation help reinforcement learning?



03
Can a Language Model Learn Facts Continually in Its Weights?

04
Post-Training Science for Supervised Fine-Tuning



05
Still: Amortized KV Cache Compaction in a Single Forward Pass





06
Towards infinite context windows: neural KV cache compaction


