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Researchers describe J-Miner, a method that converts internal signals from fine-tuned language-model classifiers into inspectable rules, reporting up to 98.3% reproduction of source decisions and nearly the same average task accuracy in much smaller student models.
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.
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.
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.
An arXiv paper reports that adversarial examples generated through publicly released EEG encoders can affect inaccessible downstream models without queries to their parameters, outputs, or gradients.
An arXiv paper introduces Mr.Dec, a model that combines daily electronic health-record updates with intermittent chest X-ray findings in chronological order. The authors report state-of-the-art results on two MIMIC datasets, but the supplied record provides no scores or evidence of clinical deployment.
A new benchmark argues that document-sensitivity classifiers can appear more accurate than they are when residual labels leak into the text. On its cleaned 16,000-document corpus, BERT reached 89.14% accuracy, while logistic regression offered a cheaper alternative.
An arXiv paper introduces Data-DPO, which selects supervised fine-tuning examples using a target model’s responses during brief training probes. Authors report better results than existing selection methods and full-data training on Vision-Flan and LLaVA-CoT, but the record lacks effect sizes or independent validation.
Stripe says it will acquire OpenRouter, whose gateway routes requests across more than 400 AI models from over 80 providers. The companies say the deal will help businesses balance model cost, speed, complexity and reliability, but disclosed no financial terms or closing date.
A Pew Research Center survey finds that concern about AI has increased since 2021, with young adults showing a sharp rise in anxiety about both daily use and future employment.
Google says Search is adding five education features: interactive visuals, practice quizzes, Lens-based guidance, AI Mode notebooks and custom study files.
Apple researchers present a formal complexity result for evaluating Boolean query DAGs over inverted indexes and propose ComputePN, an algorithm designed to avoid exponential query expansion and universe-scale scans.
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