3 papers
cs.CL2026
iPOE: Interpretable Prompt Optimization via Explanations
Jiahui Li, Yarik Menchaca Resendiz, Sean Papay +1
Prompt optimization has often been framed as a discrete search problem to find high-performing and robust instructions for an LLM. However, the search result might not make it tran…
cs.CL2025
Are Humans as Brittle as Large Language Models?
Jiahui Li, Sean Papay, Roman Klinger
The output of large language models (LLMs) is unstable, due both to non-determinism of the decoding process as well as to prompt brittleness. While the intrinsic non-determinism of…
cs.LG2025
Regular-pattern-sensitive CRFs for Distant Label Interactions
Sean Papay, Roman Klinger, Sebastian Pado
While LLMs have grown popular in sequence labeling, linear-chain conditional random fields (CRFs) remain a popular alternative with the ability to directly model interactions betwe…