{"id":38910,"date":"2025-10-29T16:04:28","date_gmt":"2025-10-29T15:04:28","guid":{"rendered":"https:\/\/kinit.sk\/kinit-is-going-to-emnlp-2025\/"},"modified":"2025-12-18T19:05:33","modified_gmt":"2025-12-18T18:05:33","slug":"kinit-is-going-to-emnlp-2025","status":"publish","type":"post","link":"https:\/\/kinit.sk\/sk\/kinit-is-going-to-emnlp-2025\/","title":{"rendered":"KInIT is going to EMNLP 2025"},"content":{"rendered":"<div id=\"\" class=\"element core-paragraph\">\n<p><strong>We are pleased to share that the Kempelen Institute of Intelligent Technologies (KInIT) will present six papers at EMNLP 2025. These works explore various aspects of fact-checking, multilingual NLP, and low-resource language processing, with a particular focus on making large language models (LLMs) more robust, inclusive, and practical. <\/strong><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Here\u2019s a closer look at each of them:<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h4 class=\"wp-block-heading\">Multilingual vs Crosslingual Retrieval of Fact-Checked Claims: A Tale of Two Approaches <em>(Main)<\/em><\/h4>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>This paper examines several strategies to improve the multilingual and crosslingual retrieval of previously fact-checked claims. The study compares different negative example selection strategies in supervised settings and evaluates multiple multilingual models combined with reranking in unsupervised setups.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Authors:<\/strong> Alan Ramponi, Marco Rovera, R\u00f3bert M\u00f3ro, Sara Tonelli<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><a href=\"https:\/\/kinit.sk\/publication\/multilingual-vs-crosslingual-retrieval-of-fact-checked-claims-a-tale-of-two-approaches\/?highlight=Multilingual%20vs%20Crosslingual%20Retrieval%20of%20Fact-checked%20Claims%3A%20A%20Tale%20of%20Two%20Approaches\" target=\"_blank\" rel=\"noreferrer noopener\">Read the paper<\/a><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h4 class=\"wp-block-heading\">A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages <em>(Main)<\/em><\/h4>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>This work systematically investigates how LLMs can generate synthetic data for low-resource languages, covering <strong>11 languages<\/strong>, <strong>3 NLP tasks<\/strong>, and <strong>multiple LLMs<\/strong>. The results show that synthetic data can significantly reduce the performance gap compared to gold-standard data.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Authors:<\/strong> J\u00e1n \u010cegi\u0148, Tatiana Anikina, Jakub \u0160imko, Simon Ostermann<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><a href=\"https:\/\/kinit.sk\/publication\/a-rigorous-evaluation-of-llm-data-generation-strategies-for-low-resource-languages\/?highlight=Hard%20prompt%20techniques%20for%20low-resource%20synthetic%20data%20generation\" target=\"_blank\" rel=\"noreferrer noopener\">Read the paper<\/a><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h4 class=\"wp-block-heading\">Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance <em>(Main)<\/em><\/h4>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>This study explores how many labelled samples are required for small fine-tuned models to match or outperform large state-of-the-art LLMs such as <strong>LLaMA3<\/strong> or <strong>ChatGPT<\/strong>. Interestingly, the authors find that a small <strong>BERT<\/strong> model needs only around <strong>100 labelled samples<\/strong> to surpass them in text classification tasks.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Authors:<\/strong> Branislav Pecher, Ivan Srba, M\u00e1ria Bielikov\u00e1.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><a href=\"https:\/\/kinit.sk\/publication\/comparing-specialised-small-and-general-large-language-models-on-text-classification-100-labelled-samples-to-achieve-break-even-performance\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the paper<\/a><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h4 class=\"wp-block-heading\">Large Language Models for Multilingual Previously Fact-Checked Claim Detection <em>(Findings)<\/em><\/h4>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>This paper evaluates seven LLMs and various prompting strategies to detect previously fact-checked claims across <strong>20 languages<\/strong>. While the models perform well for high-resource languages, challenges persist for low-resource ones \u2013 though simple translation to English can substantially improve results. The findings highlight the potential of LLMs in building <strong>multilingual automated fact-checking systems<\/strong>, contributing to the global fight against misinformation.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Authors:<\/strong> Ivan Vykopal, Mat\u00fa\u0161 Pikuliak, Simon Ostermann, Tatiana Anikina, Michal Gregor, Mari\u00e1n \u0160imko<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><a href=\"https:\/\/kinit.sk\/publication\/large-language-models-for-multilingual-previously-fact-checked-claim-detection\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the paper<\/a><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h4 class=\"wp-block-heading\">Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-Based Text Augmentation for Classification <strong><em>(Findings)<\/em><\/strong><\/h4>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>The paper investigates a few-shot selection strategies for LLM-based text augmentation. Surprisingly, simple baselines such as <strong>random selection<\/strong> often perform competitively\u2014especially in in-distribution settings.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Authors:<\/strong> J\u00e1n \u010cegi\u0148, Branislav Pecher, Jakub \u0160imko, Ivan Srba, M\u00e1ria Bielikov\u00e1, Peter Brusilovsk\u00fd<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><a href=\"https:\/\/kinit.sk\/publication\/use-random-selection-for-now-investigation-of-few-shot-selection-strategies-in-llm-based-text-augmentation-for-classification\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the paper<\/a><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-heading\">\n<h4 class=\"wp-block-heading\">oMEGA: Optimized Methods for Explanation Generation &amp; Analysis<em> (Demo)\u00a0<\/em><\/h4>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>This work introduces <strong>o-mega<\/strong>, a hyperparameter optimization framework for selecting the most effective explainability (XAI) methods in semantic-matching tasks, particularly within fact-checking pipelines. Tested on a curated post-claim dataset, o-mega automates the selection of explanation techniques and configurations, revealing that <strong>Occlusion<\/strong> achieves the best balance between technical fidelity and human interpretability.<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>Authors:<\/strong> \u013dubo\u0161 Kri\u0161, Jaroslav Kop\u010dan, Qiwei Peng, Andrej Ridzik, Marcel Vesel\u00fd, Martin Tamajka<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><a href=\"https:\/\/kinit.sk\/publication\/o-mega-optimized-methods-for-explanation-generation-and-analysis\/\" target=\"_blank\" rel=\"noreferrer noopener\">Read the paper<\/a><\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p>Together, these papers demonstrate both the power and limitations of large language models, highlighting opportunities where smaller, specialized models or simpler strategies can still excel. KInIT would like to acknowledge its collaborators from Fondazione Bruno Kessler (FBK), Deutsches Forschungszentrum f\u00fcr K\u00fcnstliche Intelligenz (DFKI), and the University of Copenhagen for their invaluable contributions.&nbsp;<\/p>\n<\/div>\n\n<div id=\"\" class=\"element core-paragraph\">\n<p><strong>We look forward to engaging with the NLP community at EMNLP 2025 and sharing the outcomes of this research.<\/strong><\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>We are pleased to share that the Kempelen Institute of Intelligent Technologies (KInIT) will present six papers at EMNLP 2025. These works explore various aspects of fact-checking, multilingual NLP, and&#8230;<\/p>\n","protected":false},"author":34,"featured_media":38906,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[83,520],"tags":[175],"class_list":["post-38910","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news-sk","category-2025-sk","tag-conference-sk"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>KInIT is going to EMNLP 2025 - KInIT<\/title>\n<meta name=\"description\" content=\"This study explores how many labelled samples are required for small fine-tuned models to match or outperform large state-of-the-art LLMs...\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/kinit.sk\/sk\/kinit-is-going-to-emnlp-2025\/\" \/>\n<meta property=\"og:locale\" content=\"sk_SK\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"KInIT is going to EMNLP 2025 - 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