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Amin Alipour

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#artificial intelligence Preprint Sep 2026

How Much Prompt Is Enough? A Blackbox Minimization of Few-Shots in LLMs

By identifying which components are indispensable, \framework provides a principled basis for prompt compression and structural analysis of few-shot exemplars, and provides a principled basis for prompt compression and structural analysis of few-shot exemplars.

Ali Alfageeh, Rahul Gopinath, Amin Alipour · 0 citations
#human-computer interacti... Preprint Sep 2026

Pulla: A Parsons Problem Tool for Fine-Grained Behavioral Tracing and Instructor-Facing Problem-Solving Analysis

Existing Parsons problem tools primarily focus on correctness, indicating whether a student solved a problem, but providing limited visibility into the underlying problem-solving process. We address this gap by introducing Pulla, a Parsons problem tool that instruments programming assignments to capture fine-grained in...

Daniel Prol, Juho Leinonen, Arto Hellas et al. · 0 citations

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