IASCI Research Publishing
IASCI Journal JADAI
Artificial intelligence

Journal of Algorithmic Discovery and Applied AI

Methods, evidence and responsible applications across the AI lifecycle.

ISSN pending Monthly (12 issues per year) Open access
Editorial intake: preparing
Published record

Articles

6 published · View all articles →

One-Step Generation Across Domain Boundaries

Amber Diaz, Danielle Hayes, Abigail Myers

This evidence synthesis examines transfer under compression in vision, language, and structured prediction. It argues that the appropriate object of evaluation is the trajectory from tokenization and draft generation through scoring, revisi...

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Distillation With a Reject Option

Marie Washington, Julia Butler, Grace Simmons

This evidence synthesis examines compression and abstention in one-step students used in safety-sensitive workflows. It argues that the appropriate object of evaluation is the trajectory from tokenization and draft generation through scorin...

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Teacher Bias in Generative Distillation

Ann Henderson, Jean Coleman, Alice Jenkins

This evidence synthesis examines bias inheritance in student models trained from powerful teachers. It argues that the appropriate object of evaluation is the trajectory from tokenization and draft generation through scoring, revision, comp...

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Draft Diversity and Translation Robustness

Diane Cooper, Julie Richardson, Joyce Cox

This evidence synthesis examines multi-path refinement in ambiguous source sentences. It argues that the appropriate object of evaluation is the trajectory from tokenization and draft generation through scoring, revision, compression, and r...

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Selective Self-Correction for Low-Frequency Translation

Emma Stewart, Catherine Morris, Debra Rogers

This evidence synthesis examines triggered revision in rare terminology and culturally specific expressions. It argues that the appropriate object of evaluation is the trajectory from tokenization and draft generation through scoring, revis...

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Proper Scoring for High-Stakes Classification Pipelines

Deborah King, Stephanie Wright, Rebecca Scott

This evidence synthesis examines evaluation incentives in probabilistic forecasts and threat labels. It argues that the appropriate object of evaluation is the chain from public signals and historical records to probability, label, action,...

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