New LLM-based models for fine-grained conditional probability estimation outperform prior fine-tuned and prompting methods through enhanced data creation and supervision.
Justify your reasoning for why one hypothesis is more likely than the other, considering the degree of alignment and the assumptions made
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Always Tell Me The Odds: Fine-grained Conditional Probability Estimation
New LLM-based models for fine-grained conditional probability estimation outperform prior fine-tuned and prompting methods through enhanced data creation and supervision.