{"id":41702,"date":"2025-06-27T09:27:00","date_gmt":"2025-06-27T07:27:00","guid":{"rendered":"https:\/\/kinit.sk\/?post_type=event&p=41702"},"modified":"2026-04-22T15:42:47","modified_gmt":"2026-04-22T13:42:47","slug":"slovak-nlp-community-meeting-2","status":"publish","type":"event","link":"https:\/\/kinit.sk\/sk\/podujatie\/slovak-nlp-community-meeting-2\/","title":{"rendered":"Slovak NLP Community Meeting #2"},"content":{"rendered":"
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Program<\/h3>\n<\/div>\n\n
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12:30 <\/strong>Otvorenie
12:30 <\/strong>Marek \u0160uppa et al. (UK, KInIT, TUKE): skLEP: Slovak GLUE Benchmark
<\/em>13:00<\/strong> Martin Faj\u010d\u00edk (FIT BUT Brno): BenCzechMark and Beyond
13:30 <\/strong>Coffee break<\/em>
13:45 <\/strong>Pozvan\u00e1 predn\u00e1\u0161ka: Michal \u0160tef\u00e1nik (University of Helsinki): Robust Language Models and Where to Find Them*
14:30<\/strong> Coffee break<\/em>
14:45<\/strong> Miroslav Bl\u0161t\u00e1k (KInIT, Eduself): Slovn\u00edk pojmov pre sloven\u010dinu
15:15<\/strong> Okr\u00fahly st\u00f4l (otvoren\u00fd koniec)
16:30+<\/strong> Ukon\u010denie

* \u010cas\u0165 programu ako udalos\u0165 podporen\u00e1 iniciat\u00edvou slovaks.ai<\/a>.<\/p>\n<\/div>\n\n

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Robust Language Models and Where to Find Them<\/h4>\n<\/div>\n\n
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Language models (LMs) have emerged into a technology adopted in a wide variety of use-cases, today largely exceeding traditional NLP tasks. Despite that, over the last years, we have made little progress in LMs‘ applicability in tasks with limited data and tasks requiring reliable decision making, bearing huge potential for automation. Both these limitations can be attributed to models‘ limited robustness in out-of-distribution settings.<\/p>\n<\/div>\n\n

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In this talk, I will share our experience with making language models more robust across languages, domains and tasks, and underline some general rules for improving robustness. Finally, I will outline our vision for achieving progress beyond the inherent limitations of the Transformer architecture, motivating further research in several key directions.<\/p>\n<\/div>\n\n

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Zhrnutie<\/h3>\n<\/div>\n\n
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Druh\u00e9 stretnutie komunity sa op\u00e4\u0165 konalo v s\u00eddle KInITu, v priestoroch The Spot v SkyPark Offices v Bratislave. Program bol zameran\u00fd na benchmarking. Najprv Marek \u0160uppa prezentoval v\u00fdsledky pracovnej skupiny zameranej na benchmarkovanie (s prijat\u00fdm vedeck\u00fdm \u010dl\u00e1nkom na ACL 2025!) a pozvanie prijal Martin Faj\u010dik z FIT VUT Brno, ktor\u00fd zdie\u013eal sk\u00fasenosti s benchmarkovan\u00edm jazykov\u00fdch modelov v \u010deskom jazyku. \u0160peci\u00e1lnym obohaten\u00edm programu, podporen\u00e1 iniciat\u00edvou slovaks.ai<\/a>, bola pozvan\u00e1 predn\u00e1\u0161ka Michala \u0160tef\u00e1nika z University of Helsinki. Miroslav Bl\u0161t\u00e1k z KInITu prezenoval vytvoren\u00fd slovn\u00edk pojmov pre sloven\u010dinu. Pri okr\u00fahlom stole s otvoren\u00fdm koncom jednotliv\u00e9 v\u00fdskumn\u00e9 t\u00edmy odprezentovali aktualiz\u00e1cie ich pr\u00e1ce.<\/p>\n<\/div>\n\n

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Partneri podujatia<\/h3>\n<\/div>\n\n
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