2 papers
cs.CL2026
Shared Lexical Task Representations Explain Behavioral Variability In LLMs
Zhuonan Yang, Jacob Xiaochen Li, Francisco Piedrahita Velez +5
One of the most common complaints about large language models (LLMs) is their prompt sensitivity -- that is, the fact that their ability to perform a task or provide a correct answ…
cs.LG2024
Leveraging Large Language Models for Structure Learning in Prompted Weak Supervision
Jinyan Su, Peilin Yu, Jieyu Zhang +1
Prompted weak supervision (PromptedWS) applies pre-trained large language models (LLMs) as the basis for labeling functions (LFs) in a weak supervision framework to obtain large la…