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Ehi Nosakhare

2 accepted papers

2025

Concept Distillation from Strong to Weak Models via Hypotheses-to-Theories Prompting

NAACL 2025industry

Hand-crafting high quality prompts to optimize the performance of language models is a complicated and labor-intensive process. Furthermore, when migrating to newer, smaller, or weaker models (possibly due to latency or cost gains), prompts need to be updated to re-optimize the task performance. We…

Cited by 0SourcePDFScholar
2022

SLATE: A Sequence Labeling Approach for Task Extraction from Free-form Inked Content

EMNLP 2022industry

We present SLATE, a sequence labeling approach for extracting tasks from free-form content such as digitally handwritten (or “inked”) notes on a virtual whiteboard. Our approach allows us to create a single, low-latency model to simultaneously perform sentence segmentation and classification of thes…