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9 inkuruGuhanga udushya
Study proposes transfer-aware curriculum sampling for language-model training
An arXiv paper introduces Relative Transfer, a measure of how training examples at different difficulty levels affect one another, and proposes Transfer-aware Dynamic Curriculum Sampling for adapting training schedules during post-training.arxiv.orgGuhanga udushya
Co-RL paper reports label-free reasoning gains from diverse model cohorts
An arXiv preprint describes Co-RL, a multi-agent reinforcement-learning framework in which separate models reward one another. The authors report gains across text-only and multimodal benchmarks without ground-truth labels, while acknowledging the risks of self-reinforcing errors and training collapse.arxiv.orgGuhanga udushya
Uburyo buteganijwe neza butanga imbaraga zamahugurwa kubikorwa bijyanye
Urupapuro rushya rwa arXiv rusaba Task Specialisation Nziza-Guhuza kugirango igabanye neza-guhuza imipaka mukarere kajyanye. Itanga raporo nziza yo gukwirakwiza ibikorwa mugutezimbere, kugenzura, na LLM, ariko nta bisubizo byumubare cyangwa kwemeza byigenga.arxiv.orgGuhanga udushya
SURE-Ridge proposes a faster way to infer causal graphs from limited data
Accepted to the 2026 Asilomar Conference, a paper proposes SURE-Ridge, a closed-form method for causal-graph estimation in equal-variance linear Gaussian models. Authors report lower small-sample structural error and fastest tested-baseline runtime; the source does not establish performance beyond these assumptions.arxiv.orgGuhanga udushya
Urupapuro rwa J-Miner rutanga amategeko yubahirizwa yakuwe mu rurimi-rwerekana imiterere
Abashakashatsi basobanura J-Miner, uburyo bwo guhindura ibimenyetso byimbere mu ndimi-zerekana neza imvugo-yerekana ibyiciro mu mategeko agenzurwa, bagatanga raporo zigera kuri 98.3% byerekana ibyemezo byatanzwe kandi hafi yikigereranyo kimwe cyo kugereranya mubikorwa bito byabanyeshuri bato.arxiv.orgGuhanga udushya
Paper tests letting AI agents switch specialized LoRA adapters mid-task
A single-author arXiv paper reports that giving an agent a tool to switch between specialized LoRA adapters helped it solve two synthetic coding tasks and reduced the reported capability tax by up to 18 times.arxiv.orgGuhanga udushya
MultiSigBERT combines medical text and patient timelines for cancer survival prediction
An ECML PKDD 2026 paper presents MultiSigBERT, combining narrative medical reports, structured records and temporal patient data to estimate individualized oncology risk scores. It reports a 0.743 concordance index on an independent test set; the source has no comparator results or clinical-deployment evidence.arxiv.orgGuhanga udushya
DOW-KE proposes direct optimization for editing knowledge across AI model layers
An arXiv paper proposes optimizing multi-layer model edits through the complete forward pass, reporting the strongest combined results among tested methods in five of six model-dataset settings.arxiv.orgUmutekano
Inyigo Isanga Encoders rusange ya EEG Irashobora Kwimura Ibitero Byabanzi Kuri Moderi Yigenga
Urupapuro rwa arXiv ruvuga ko ingero zo guhangana zakozwe binyuze muri kodegisi ya EEG yashyizwe ahagaragara ku mugaragaro zishobora kugira ingaruka ku buryo bworoshye butagerwaho nta kibazo kijyanye n'ibipimo byabo, ibisohoka, cyangwa gradients.arxiv.org
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