PAMT adds a step-level process reward, the change in reference-translation likelihood under a frozen model, to reinforcement learning for multi-domain machine translation.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation
PAMT adds a step-level process reward, the change in reference-translation likelihood under a frozen model, to reinforcement learning for multi-domain machine translation.