3 papers
cs.AI2026
From Monolithic to Modular: Segment-level Automatic Prompt Optimization
Nikita Kulin, Viktor Zhuravlev, Artur Khairullin +4
Automatic Prompt Optimization (APO) often rewrites prompts monolithically, which can improve one behavior while degrading others. We present SAPO, a segment-level APO method that d…
cs.CL2025
Automatic Prompt Optimization with Prompt Distillation
Ernest A. Dyagin, Nikita I. Kulin, Artur R. Khairullin +2
Autoprompting is the process of automatically selecting optimized prompts for language models, which is gaining popularity due to the rapid development of prompt engineering driven…
cs.CL2025
ReflectivePrompt: Reflective evolution in autoprompting algorithms
Viktor N. Zhuravlev, Artur R. Khairullin, Ernest A. Dyagin +2
Autoprompting is the process of automatically selecting optimized prompts for language models, which has been gaining popularity with the rapid advancement of prompt engineering, d…