4 papers
PA-CoT: Profile-Adaptive Chain-of-Thought for Personalized Nutritional Consulting
Evgenii Garmashov, Nikita Kulin, Artur Khairullin +5
In health and nutrition consulting, widely used prompting methods pass the user profile as an unstructured block without a dedicated analysis step, leaving personalization as a cri…
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…
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…
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…