A quadratic meta-planner trained on a few model-dataset runs selects the optimal data-tuning-inference configuration for extractive LLMs, matching grid search on three IE tasks.
Empowering Large Language Models for Textual Data Augmentation
1 Pith paper cite this work, alongside 10 external citations. Polarity classification is still indexing.
1
Pith paper citing it
10
external citations · OpenAlex
fields
cs.AI 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMs
A quadratic meta-planner trained on a few model-dataset runs selects the optimal data-tuning-inference configuration for extractive LLMs, matching grid search on three IE tasks.