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9 故事創新
J-Miner 論文報告了從語言模型分類器中提取的可執行決策規則
研究人員描述了 J-Miner，這是一種將來自微調語言模型分類器的內部訊號轉換為可檢查規則的方法，報告來源決策的再現率高達 98.3%，並且在較小的學生模型中幾乎具有相同的平均任務準確性。arxiv.org創新
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創新
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創新
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安全性
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創新
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創新
洩漏控制基準測試敏感文件的人工智慧分類
一項新的基準認為，當殘留標籤洩漏到文字中時，文件敏感度分類器可能會顯得更準確。在其清理過的 16,000 個文檔語料庫中，BERT 達到了 89.14% 的準確率，而邏輯回歸則提供了更便宜的替代方案。arxiv.org創新
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產業
Stripe同意收购OpenRouter以扩展AI模型路由
Stripe 表示将收购 OpenRouter，后者的网关可路由来自 80 多家提供商的 400 多个人工智能模型的请求。兩家公司表示，這筆交易將幫助企業平衡模型成本、速度、複雜性和可靠性，但沒有透露財務條款或成交日期。stripe.com