no code implementations • 13 Feb 2024 • Maurice Diesendruck, Jianzhe Lin, Shima Imani, Gayathri Mahalingam, Mingyang Xu, Jie Zhao
When LLMs perform zero-shot inference, they typically use a prompt with a task specification, and generate a completion.
no code implementations • 9 Feb 2024 • Shima Imani, Hamid Palangi
Large Language Models (LLMs) have demonstrated impressive performance across a wide range of applications; however, assessing their reasoning capabilities remains a significant challenge.
no code implementations • 22 Jun 2023 • Shima Imani, Ali Beyram, Harsh Shrivastava
In this paper, we introduce DiversiGATE, a unified framework that consolidates diverse methodologies for LLM verification.
1 code implementation • 21 Mar 2023 • Shima Imani, Harsh Shrivastava
Segmentation of multivariate time series data is a technique for identifying meaningful patterns or changes in the time series that can signal a shift in the system's behavior.
no code implementations • 4 Mar 2023 • Shima Imani, Liang Du, Harsh Shrivastava
Large Language Models (LLMs) have limited performance when solving arithmetic reasoning tasks and often provide incorrect answers.