FoReaL-Decoding lets a strong reasoning model generate the first few tokens of each sentence and a weaker model complete the sentence, cutting theoretical FLOPs by 30-55% while retaining 86-100% of accuracy on four math benchmarks.
AMC 12 2023 Integer-Answer Validation Set, 2024
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
What makes Reasoning Models Different? Follow the Reasoning Leader for Efficient Decoding
FoReaL-Decoding lets a strong reasoning model generate the first few tokens of each sentence and a weaker model complete the sentence, cutting theoretical FLOPs by 30-55% while retaining 86-100% of accuracy on four math benchmarks.