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9 故事创新
J-Miner paper reports executable decision rules extracted from language-model classifiers
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.arxiv.org创新
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.org创新
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.org创新
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.org安全
Study Finds Public EEG Encoders Can Transfer Adversarial Attacks to Private Models
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.arxiv.org创新
Paper proposes Mr.Dec to model hospital stays day by day for 30-day readmission prediction
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.arxiv.org创新
泄漏控制基准测试敏感文档的人工智能分类
一项新的基准认为，当残留标签泄漏到文本中时，文档敏感性分类器可能会显得更准确。在其清理过的 16,000 个文档语料库中，BERT 达到了 89.14% 的准确率，而逻辑回归提供了一种更便宜的替代方案。arxiv.org创新
Data-DPO paper proposes target-model-aware selection of fine-tuning data
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.arxiv.org工业
Stripe agrees to acquire OpenRouter to expand AI model routing
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.stripe.com