{"id":669,"date":"2026-03-30T14:56:49","date_gmt":"2026-03-30T14:56:49","guid":{"rendered":"https:\/\/wordpress.thelab.wppresolve.com\/?post_type=research_feed&#038;p=669"},"modified":"2026-03-31T13:01:57","modified_gmt":"2026-03-31T13:01:57","slug":"new-blog-post","status":"publish","type":"research_feed","link":"https:\/\/cms.research.wpp.com\/?research_feed=new-blog-post","title":{"rendered":"New Blog Post"},"author":10,"featured_media":0,"template":"","meta":{"_acf_changed":false},"ppma_author":[{"id":10,"display_name":"Elektra Papazoglou","first_name":"Elektra","last_name":"Papazoglou","nickname":"elektra.papazoglou","user_nicename":"elektra-papazoglou","user_email":"elektra.papazoglou@satalia.com","biographical_info":"Elektra Papazoglou is a machine learning engineer at Satalia, working in the Research Lab on NLP and LLM systems. Her previous work has focused on large-scale information extraction from unstructured data, with an emphasis on combining prompt engineering and efficient fine-tuning to build methods that are both performant and practical.\r\nShe brings prior experience building production ML systems across recommendation, experimentation, and content understanding, bridging the gap between research and deployment.","avatar_url":"https:\/\/cms.research.wpp.com\/wp-content\/uploads\/2026\/04\/image-e1776864019813.png","job_title":"Senior Data Scientist","is_lead":false,"display_as_researcher":true,"order_priority":4}],"class_list":["post-669","research_feed","type-research_feed","status-publish","hentry"],"acf":{"content":"<p><a href=\"https:\/\/research.wpp.com\/blog\/from-hype-to-impact-predicting-campaign-performance-with-fine-tuned-llms\">From Hype to Impact: Predicting Campaign Performance with Fine-Tuned LLMs<\/a><\/p>\n","related_pods":[136]},"research_categories":[],"content_types":[],"tags":[],"_links":{"self":[{"href":"https:\/\/cms.research.wpp.com\/index.php?rest_route=\/wp\/v2\/research_feed\/669","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cms.research.wpp.com\/index.php?rest_route=\/wp\/v2\/research_feed"}],"about":[{"href":"https:\/\/cms.research.wpp.com\/index.php?rest_route=\/wp\/v2\/types\/research_feed"}],"author":[{"embeddable":true,"href":"https:\/\/cms.research.wpp.com\/index.php?rest_route=\/wp\/v2\/users\/10"}],"acf:post":[{"embeddable":true,"href":"https:\/\/cms.research.wpp.com\/index.php?rest_route=\/wp\/v2\/research_pods\/136"}],"wp:attachment":[{"href":"https:\/\/cms.research.wpp.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=669"}],"wp:term":[{"taxonomy":"author","embeddable":true,"href":"https:\/\/cms.research.wpp.com\/index.php?rest_route=%2Fwp%2Fv2%2Fppma_author&post=669"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}