{"id":994,"date":"2025-07-28T16:58:23","date_gmt":"2025-07-28T16:58:23","guid":{"rendered":"https:\/\/ccds.ai\/?p=994"},"modified":"2025-08-10T18:14:12","modified_gmt":"2025-08-10T18:14:12","slug":"paper-accepted-in-neurips-2023-at-3rd-workshop-on-efficient-natural-language-and-speech-processing","status":"publish","type":"post","link":"https:\/\/ccds.ai\/?p=994","title":{"rendered":"Paper accepted in NeurIPS 2023 at 3rd Workshop on Efficient Natural Language and Speech Processing"},"content":{"rendered":"\n<p>We are very glad to share that our paper titled:\u201dHateXplain Space Model: Fusing Robustness with Explainability in Hate Speech Analysis\u201d Accepted at \u201cEfficient Natural Language and Speech Processing\u201d workshop @NeurIPS 2023. The paper deals with detecting hate texts with more robust and explainable fashion.<\/p>\n\n\n\n<p>LLMs demonstrate proficiency in various tasks but encounter difficulties when identifying hate contexts, especially in zero-shot or transfer learning scenarios. To tackle this challenge, we present Space Modeling (SM), an innovative approach that enhances hate context detection by generating word-level attribution and bias scores. These scores offer intuitive insights into model predictions and help recognize hateful terms.<\/p>\n\n\n\n<p>Very glad to Dr. Ruhul Amin Sir (Assistant Professor, Fordham University, USA) for his supervision.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We are very glad to share that our paper titled:\u201dHateXplain Space Model: Fusing Robustness with Explainability in Hate Speech Analysis\u201d Accepted at \u201cEfficient Natural Language and Speech Processing\u201d workshop @NeurIPS [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":995,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[17],"tags":[],"class_list":["post-994","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"acf":[],"jetpack_featured_media_url":"https:\/\/ccds.ai\/wp-content\/uploads\/2025\/07\/download.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/994","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=994"}],"version-history":[{"count":1,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/994\/revisions"}],"predecessor-version":[{"id":996,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/994\/revisions\/996"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/media\/995"}],"wp:attachment":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=994"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=994"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=994"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}