SMC sampling with a tetratagger shaping function and a POS-bigram proposal lifts constituency-tree match from 12-35% to about 93% F1 on GPT2-large and Llama3-8B.
Title resolution pending
1 Pith paper cite this work, alongside 104 external citations. Polarity classification is still indexing.
1
Pith paper citing it
104
external citations · OpenAlex
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Syntactic Control of Language Models by Posterior Inference
SMC sampling with a tetratagger shaping function and a POS-bigram proposal lifts constituency-tree match from 12-35% to about 93% F1 on GPT2-large and Llama3-8B.