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‘More Samples or More Prompt Inputs? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering’

NGN Research
by Noah Lloyd

‘Multi-Instance Randomness Extraction and Security Against Bounded-Storage Mass Surveillance’

NGN Research
by Noah Lloyd

‘Is a Seat at the Table Enough? Engaging Teachers and Students in Dataset Specification for ML in Education’

NGN Research
by Noah Lloyd

‘”The Wallpaper is Ugly”: Indoor Localization Using Vision and Language’

NGN Research
by Noah Lloyd

‘Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks’

NGN Research
by Noah Lloyd

‘Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture’

NGN Research
by Noah Lloyd

‘ICML 2023 Topological Deep Learning Challenge: Design and Results’

NGN Research
by Noah Lloyd

‘Automatic Collation for Diversifying Corpora: Commonly Copied Texts as Distant Supervision for Handwritten Text Recognition’

NGN Research
by Noah Lloyd

‘Testing the Limits of Neural Sentence Alignment Models on Classical Greek and Latin Texts and Translations’

NGN Research
by Noah Lloyd

‘Increasing the Responsiveness of Web Applications by Introducing Lazy Loading’

NGN Research
by Noah Lloyd

‘Code Coverage Criteria for Asynchronous Programs’

NGN Research
by Noah Lloyd

‘On Tolerance of Discrete Systems With Respect to Transition Perturbations’

NGN Research
by Noah Lloyd