{"id":32263,"date":"2026-01-21T17:01:36","date_gmt":"2026-01-21T17:01:36","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/caisa-at-semeval-2025-task-7-multilingual-and-cross-lingual-fact-checked-claim-retrieval\/"},"modified":"2026-06-08T13:19:03","modified_gmt":"2026-06-08T13:19:03","slug":"caisa-at-semeval-2025-task-7-multilingual-and-cross-lingual-fact-checked-claim-retrieval","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/caisa-at-semeval-2025-task-7-multilingual-and-cross-lingual-fact-checked-claim-retrieval\/","title":{"rendered":"{CAISA} at {SemEval}-2025 Task 7: Multilingual and Cross-lingual Fact-Checked Claim Retrieval"},"content":{"rendered":"<p>We leveraged {LLaMA}, utilizing its ability to evaluate the relevance of retrieved claims within a retrieval-based fact-checking framework. This approach aimed to explore the impact of large language models ({LLMs}) on retrieval tasks and assess their effectiveness in enhancing fact-checking accuracy. Additionally, we integrated Jina embeddings v2 and the {MPNet} multilingual sentence transformer to filter and rank a set of 500 candidate claims. These refined claims were then used as input for {LLaMA}, ensuring that only the most contextually relevant ones were assessed.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We leveraged {LLaMA}, utilizing its ability to evaluate the relevance of retrieved claims within a retrieval-based fact-checking framework. This approach aimed to explore the impact of large language models ({LLMs}) on retrieval tasks and assess their effectiveness in enhancing fact-checking accuracy. Additionally, we integrated Jina embeddings v2 and the {MPNet} multilingual sentence transformer to filter and rank a set of 500 candidate claims. These refined claims were then used as [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[32],"class_list":["post-32263","publication","type-publication","status-publish","hentry","publication-type-inproceedings"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32263","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/users\/12"}],"version-history":[{"count":0,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32263\/revisions"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32263"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32263"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}