4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2026
ZEBRA: Zero-shot Budgeted Resource Allocation for LLM Orchestration
May Hamri, Inbal Talgam-Cohen
As autonomous agents increasingly execute end-to-end tasks under fixed monetary budgets, the pressing open question shifts from whether the budget is respected, to how to spend it…
cs.CL2023★ 4 cited
LM vs LM: Detecting Factual Errors via Cross Examination
Roi Cohen, May Hamri, Mor Geva +1
A prominent weakness of modern language models (LMs) is their tendency to generate factually incorrect text, which hinders their usability. A natural question is whether such factu…