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
Why do models forget facts that they iteratively learn?



02
The Unreasonable Efficiency of a Single Gradient Step



03
When does distillation help reinforcement learning?



04
Can a Language Model Learn Facts Continually in Its Weights?

05
Post-Training Science for Supervised Fine-Tuning



06
Still: Amortized KV Cache Compaction in a Single Forward Pass




