Dañu koy yeesal bis bu nekk3929 jaar-jaar yuñ firnde
Xibaar AI. Bu amul xumbaay.
IA buñu saytu bu baax ci lu jëm ci genne ay fasoŋu porodiwi, coppite ci politik, gestu ci kaaraange, ak toxu usine yi, ap ekipu njang buy def te Yàlla tax moo ko leeral ci Àngle bu leer.
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Bépp jaar-jaar dafay lëkkale ak firnde yi gëna am doole: balluwaay yu njëkk yi suñu ko amee, luko moy rapoor yuñ joxe ci anam wu leer.
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Li xewoon, lu tax mu am solo, ak li ñu wara seetaan - te amul jargon.
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Yeneen jaar-jaar
9 jaar-jaarKaaraange
Këyit dafay digle lëndëm siñaal bañ ngir baña nangu songe abliteration
Benn arXiv preprint dugalna ab pexem soppali diisaay bi nga xamni li ko taxa jokk mooy gëna yomba dindi ak dindi ay bañ kaaraange. Këyit dafa wax ni poñ yi gëna am doole ci bañ abliteration ci ñaari xeetu ubbeeku, ak ay kompromis yu wuute ci liggéey bu gëna am solo.arxiv.orgYeesal
Këyit dafay wax ci anam wu yàgg ngir gis gis-gis yu jaarul yoon ci niveau token
Benn preprint arXiv dafay fësal ab detektëru hallucination buy boole lim bind, siñaal entailment ak jaaxle modelu làkk ci toppalante yi ci barabu àtte token yi seen bopp. Xeetu BiGRU bi yegsi na AUC bu 0.840 ci RAGTruth, buñu sukkandikoo ci këyit bi.arxiv.orgYeesal
Topp entite feeñna ci 410 milioŋ ciy parametre, romb nit ñi ci nettali naturalist
Xam làkk dafay laaj nga topp mbir yi ci biir waxtaan wi, maanaam xam fumu mbir yi nekk ak ni ñuy soppikoo, doonte leeral luñu ko leer.arxiv.orgYeesal
Rapport këyitu seetlu buñ teg ci compilatër bi dafay gëna yombal njariñu firnde theorem Lean
Benn arXiv preprint dafay tàmbale ab pexem seetlu firnde buy méngoo ak projet Lean 4 yi lalu ci contexte. Auteur yi dañu wax ni 12.8 poñ ci teemeer boo jél ci njëgu jàll bi dafa yokk ci budget pass@32 bi ñuy jëfandikoo 21.9% woote LLM yu néew ci pass@k baselines.arxiv.orgYeesal
Benchmark dafay tàqale geometrie ak defar diagram
Benchmark open-source bu bees dafay saytu ndax modelu fondation yi mën nañu defar diagram geometri yu wóor, te baña yam ci saafara jafe-jafe yi ci suuf. Auteur yi dañu wax ni model yiñ jàngat amnañu ci tolluwaayu 36.14% ci compilation, loolu dafay wane wuute gi am ci digganté tontu ci math ak tabax yiñ mëna jëfandikoo.arxiv.orgYeesal
Li nga soxla du lenn ludul yoon: Tàggat bu amul benn njàng ngir modeli làkk audio
Approche bu bees ngir tàggat modeli làkk yu mag yu bari (MLLMs) dindi nañu soxla saytu bu yaatu ci liggéey bu nekk.arxiv.orgKaaraange
Are LLMs Safe Beyond Text: Do Emojis Expose Gaps in Safety Evaluation
This work examines emoji-augmented prompts as a test case for gaps in safety evaluation of large language models (LLMs).arxiv.orgLiggéeyukaay
Bridging Search and CRM: Productionizing AI Product Research Agents for Customer Re-Engagement
Modern e-commerce platforms often operate search, recommendation, personalization, and CRM systems independently, limiting opportunities for proactive customer re-engagement.arxiv.orgYeesal
New benchmark shows Vietnam’s exam rubric can change how language models rank
A paper introduces THPT-Ladder, a 632-item benchmark that applies Vietnam’s 2025 national exam grading scheme to language models and reports materially different scores from standard proportional-accuracy measures.arxiv.org
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Wutal xibaar IA buñ firndeel ci ayu-bis bi, done yu baax, jumtukaay yu am njariñ, tànneefi jàng, ak liggéey IA yu bees.
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