no code implementations • 23 Oct 2023 • Leonie Weissweiler, Valentin Hofmann, Anjali Kantharuban, Anna Cai, Ritam Dutt, Amey Hengle, Anubha Kabra, Atharva Kulkarni, Abhishek Vijayakumar, Haofei Yu, Hinrich Schütze, Kemal Oflazer, David R. Mortensen
Large language models (LLMs) have recently reached an impressive level of linguistic capability, prompting comparisons with human language skills.
no code implementations • 15 Feb 2020 • Taejoon Byun, Abhishek Vijayakumar, Sanjai Rayadurgam, Darren Cofer
Our approach is based on the premise that patterns in a large input data space can be effectively captured in a smaller manifold space, from which similar yet novel test cases---both the input and the label---can be sampled and generated.
1 code implementation • 11 Jan 2019 • Taejoon Byun, Vaibhav Sharma, Abhishek Vijayakumar, Sanjai Rayadurgam, Darren Cofer
label, for a given input---is high, which significantly impacts the amount and quality of testing that can be performed.