2 papers
cs.LG2026
Discovering Learning-Friendly Generation Orders for Sequential Computation
Yuta Sato, Kazuhiko Kawamoto, Hiroshi Kera
Sequential computation via autoregressive generation can make difficult tasks learnable, but the generation order of intermediate states strongly affects whether training succeeds.…
cs.LG2025
CALT: A Library for Computer Algebra with Transformer
Hiroshi Kera, Shun Arakawa, Yuta Sato
Recent advances in artificial intelligence have demonstrated the learnability of symbolic computation through end-to-end deep learning. Given a sufficient number of examples of sym…