{"id":633,"date":"2025-08-28T14:48:22","date_gmt":"2025-08-28T14:48:22","guid":{"rendered":"https:\/\/aseados.ucd.ie\/?p=633"},"modified":"2025-11-10T17:00:57","modified_gmt":"2025-11-10T17:00:57","slug":"hong-hanh-and-quang-tien-have-won-two-awards-in-european-statistics-awards-with-a-total-of-e6000","status":"publish","type":"post","link":"https:\/\/aseados.ucd.ie\/?p=633","title":{"rendered":"Hong-Hanh and Quang-Tien have won two awards in European Statistics Awards with a total of \u20ac6,000"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"633\" class=\"elementor elementor-633\" data-elementor-settings=\"[]\">\n\t\t\t<div class=\"elementor-inner\">\n\t\t\t\t<div class=\"elementor-section-wrap\">\n\t\t\t\t\t\t\t<section class=\"elementor-element elementor-element-145fd5f elementor-section-boxed elementor-section-height-default elementor-section-height-default elementor-section elementor-top-section\" data-id=\"145fd5f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t<div class=\"elementor-element elementor-element-afe4d67 elementor-column elementor-col-100 elementor-top-column\" data-id=\"afe4d67\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap  elementor-element-populated\">\n\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t<div class=\"elementor-element elementor-element-82e15c3 elementor-widget elementor-widget-image\" data-id=\"82e15c3\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-image\">\n\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"790\" height=\"187\" src=\"https:\/\/aseados.ucd.ie\/wp-content\/uploads\/2025\/08\/bdb7c813-bfac-4b7e-bcbc-bc9bc45c7593.jpeg\" class=\"attachment-large size-large\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2339599 elementor-widget elementor-widget-heading\" data-id=\"2339599\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">\ud83c\udfc6 FVNWL Team Takes Two Prizes at the European Statistics Awards! \ud83c\udfc6<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a30c224 elementor-widget elementor-widget-text-editor\" data-id=\"a30c224\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\"><p>Hong-Hanh, Quang-Tien, and the team FVNWL, have achieved outstanding results in the <a href=\"https:\/\/statistics-awards.eu\/web-intelligence\/\">European Statistics Awards for the Web Intelligence Classification Challenge<\/a>! They proudly secured:<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7de77b4 elementor-icon-list--layout-traditional elementor-widget elementor-widget-icon-list\" data-id=\"7de77b4\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\" >\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-check\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\"><b>2nd Place in the Accuracy Award (\u20ac5,000<\/b>)<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\" >\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-check\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\"><b>3rd Place in the Innovativity Award (\u20ac1,000)<\/b><\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed50997 elementor-widget elementor-widget-divider\" data-id=\"ed50997\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e249128 elementor-widget elementor-widget-heading\" data-id=\"e249128\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The Challenge: Making Sense of Job Ads<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bddfcf6 elementor-widget elementor-widget-text-editor\" data-id=\"bddfcf6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\"><p><span class=\"citation-74 citation-end-74\">The core challenge was to automatically classify millions of online job advertisements into standardized categories<\/span>. <span class=\"citation-73 citation-end-73\">This is crucial for analyzing labor market trends but is complicated by inconsistent job titles, multiple languages, and rapidly evolving job roles that make manual classification impossible<\/span>.<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6e62fe6 elementor-widget elementor-widget-heading\" data-id=\"6e62fe6\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Our Solution: Generation-Assisted Retrieval<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9fff789 elementor-widget elementor-widget-text-editor\" data-id=\"9fff789\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\"><p><span class=\"citation-72\">We created a novel <\/span><b><span class=\"citation-72\">&#8220;Generation-Assisted Retrieval&#8221;<\/span><\/b><span class=\"citation-72 citation-end-72\"> framework, treating classification as a smart search problem<\/span>. Our process was:<\/p><ul><li><b><span class=\"citation-71\">Hybrid Search:<\/span><\/b><span class=\"citation-71 citation-end-71\"> We first found potential job categories based on the ad&#8217;s overall meaning (semantic search)<\/span>. <span class=\"citation-70 citation-end-70\">We then re-ranked these results using a precise word-by-word match on the job title, which we hypothesized was the most critical piece of information<\/span>.<\/li><li><b><span class=\"citation-69\">LLM-Powered Analysis:<\/span><\/b><span class=\"citation-69 citation-end-69\"> The top results were fed to two Large Language Models (LLMs)<\/span>. <span class=\"citation-68 citation-end-68\">They didn&#8217;t just pick a code\u2014they also explained their reasoning and provided a confidence score, making the system highly interpretable<\/span>.<\/li><li><b><span class=\"citation-67\">Smart Ensembling:<\/span><\/b><span class=\"citation-67\"> We combined the LLMs&#8217; predictions using a custom <\/span><b><span class=\"citation-67\">Digit-wise Hierarchical Ensembling<\/span><\/b><span class=\"citation-67 citation-end-67\"> method, which intelligently voted on each digit of the final job code to maximize accuracy<\/span>.<\/li><\/ul><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e3fd78b elementor-widget elementor-widget-divider\" data-id=\"e3fd78b\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-92b888d elementor-widget__width-auto elementor-widget elementor-widget-text-editor\" data-id=\"92b888d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\"><p>If you are interested in our solution, explore our report and Github:\u00a0<\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-856c37f elementor-widget__width-auto elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"856c37f\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<a class=\"elementor-icon\" href=\"https:\/\/docs.google.com\/document\/d\/1N9qeDCfi6P35cQjzfigVZU3kM6hzZMbj\/edit?usp=sharing&amp;ouid=108036439965109978384&amp;rtpof=true&amp;sd=true\">\n\t\t\t<i aria-hidden=\"true\" class=\"fas fa-book-open\"><\/i>\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cb2816b elementor-widget__width-auto elementor-view-default elementor-widget elementor-widget-icon\" data-id=\"cb2816b\" data-element_type=\"widget\" data-widget_type=\"icon.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-icon-wrapper\">\n\t\t\t<a class=\"elementor-icon\" href=\"https:\/\/github.com\/nhtlongcs\/job-classification\">\n\t\t\t<i aria-hidden=\"true\" class=\"fab fa-github\"><\/i>\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>\ud83c\udfc6 FVNWL Team Takes Two Prizes at the European Statistics Awards! \ud83c\udfc6 Hong-Hanh, Quang-Tien, and the team FVNWL, have achieved outstanding results in the European Statistics Awards for the Web Intelligence Classification Challenge! They proudly secured: 2nd Place in the Accuracy Award (\u20ac5,000) 3rd Place in the Innovativity Award (\u20ac1,000) The Challenge: Making Sense of&hellip; <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"featured_image_src":null,"featured_image_src_square":null,"author_info":{"display_name":"Nhien-An Le-Khac","author_link":"https:\/\/aseados.ucd.ie\/?author=2"},"_links":{"self":[{"href":"https:\/\/aseados.ucd.ie\/index.php?rest_route=\/wp\/v2\/posts\/633"}],"collection":[{"href":"https:\/\/aseados.ucd.ie\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/aseados.ucd.ie\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/aseados.ucd.ie\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/aseados.ucd.ie\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=633"}],"version-history":[{"count":7,"href":"https:\/\/aseados.ucd.ie\/index.php?rest_route=\/wp\/v2\/posts\/633\/revisions"}],"predecessor-version":[{"id":677,"href":"https:\/\/aseados.ucd.ie\/index.php?rest_route=\/wp\/v2\/posts\/633\/revisions\/677"}],"wp:attachment":[{"href":"https:\/\/aseados.ucd.ie\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=633"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/aseados.ucd.ie\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=633"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/aseados.ucd.ie\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=633"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}