1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CL2025
LASER: Stratified Selective Sampling for Instruction Tuning with Dedicated Scoring Strategy
Paramita Mirza, Lucas Weber, Fabian Küch
Recent work shows that post-training datasets for LLMs can be substantially downsampled without noticeably deteriorating performance. However, data selection often incurs high comp…
cs.CL2024★ 1 cited
ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler
Paramita Mirza, Viju Sudhi, Soumya Ranjan Sahoo +1
State-of-the-art intent classification (IC) and slot filling (SF) methods often rely on data-intensive deep learning models, limiting their practicality for industry applications.…