4 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Transformer-Based Models Are Not Yet Perfect At Learning to Emulate Structural Recursion
Dylan Zhang, Curt Tigges, Zory Zhang +3
This paper investigates the ability of transformer-based models to learn structural recursion from examples. Recursion is a universal concept in both natural and formal languages.…
cs.CL2023★ 2 cited
PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
Dylan Zhang, Xuchao Zhang, Chetan Bansal +3
Major cloud providers have employed advanced AI-based solutions like large language models to aid humans in identifying the root causes of cloud incidents. Despite the growing prev…
hep-ex2007★ 4 cited
Measurements of and decays into and
BES Collaboration, M. Ablikim
Using 58 million and 14 million events collected by the BESII detector at the BEPC, branching fractions or upper limits for the decays and …