7 citations · 7 across the 4 of their papers we have counts for
4 papers
Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
Shalev Lifshitz, Sheila A. McIlraith, Yilun Du
By utilizing more computational resources at test-time, large language models (LLMs) can improve without additional training. One common strategy uses verifiers to evaluate candida…
STEVE-1: A Generative Model for Text-to-Behavior in Minecraft
Shalev Lifshitz, Keiran Paster, Harris Chan +2
Constructing AI models that respond to text instructions is challenging, especially for sequential decision-making tasks. This work introduces a methodology, inspired by unCLIP, fo…
Gram Barcodes for Histopathology Tissue Texture Retrieval
Shalev Lifshitz, Abtin Riasatian, H. R. Tizhoosh
Recent advances in digital pathology have led to the need for Histopathology Image Retrieval (HIR) systems that search through databases of biopsy images to find similar cases to a…
Subtractive Perceptrons for Learning Images: A Preliminary Report
H. R. Tizhoosh, Shivam Kalra, Shalev Lifshitz +1
In recent years, artificial neural networks have achieved tremendous success for many vision-based tasks. However, this success remains within the paradigm of \emph{weak AI} where…