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arXiv:2608.07627v1 Announce Type: new Abstract: Hospitals are racing to embed AI, while coping with the surge in adaptation of the technology in other…
专为医疗场景打造的1T参数大模型，开启智能体医疗新范式。
arXiv:2607.15314v1 Announce Type: new Abstract: Healthcare spans high-stakes communication, expert reasoning, and workflow execution, yet specialized …
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arXiv:2606.28739v1 Announce Type: new Abstract: Large language models increasingly act as agents: they call tools, move money, delete records, and sen…
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arXiv:2606.20072v1 Announce Type: new Abstract: From financial filings to clinical records, legacy industries rely heavily on long, unstructured docum…
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arXiv:2606.15268v1 Announce Type: new Abstract: Schatten-$\infty$ based optimizers such as Muon have shown promising empirical performance, but there …
对海量数据湖上的问答代理瓶颈进行系统梳理，揭示大规模场景下QA Agent的关键设计要素。
arXiv:2606.13904v1 Announce Type: cross Abstract: Exploratory question answering (EQA) over data lakes requires an LLM agent to discover relevant sour…
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arXiv:2606.13303v1 Announce Type: new Abstract: Recent diffusion editors perform diverse instruction-based edits while conditioning on the source imag…
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arXiv:2606.06518v1 Announce Type: new Abstract: Sudoku is a representative constraint satisfaction problem that requires global structural reasoning u…
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arXiv:2510.03511v3 Announce Type: replace-cross Abstract: While widespread, Transformers lack inductive biases for geometric symmetries common in scie…
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arXiv:2510.12624v2 Announce Type: replace Abstract: Active feature acquisition (AFA) is a sequential decision-making problem where the goal is to impr…
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arXiv:2606.00336v1 Announce Type: cross Abstract: We propose Parameterized Diffusion Policy (PDP), a framework for learning diffusion policies conditi…
探索大语言模型作为探索性数据分析代理的商业效用，评估其在实际业务场景中的表现。
arXiv:2606.00051v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly used in analytical workflows, but their suitability as…
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arXiv:2410.19371v3 Announce Type: replace-cross Abstract: Differential privacy (DP) provides robust privacy guarantees for statistical inference, but …
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arXiv:2605.27736v1 Announce Type: new Abstract: Online reinforcement learning is becoming increasingly important for aligning diffusion models with no…
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arXiv:2601.01608v2 Announce Type: replace Abstract: Diffusion models deliver high quality in image synthesis but remain expensive during training and …
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arXiv:2605.27135v1 Announce Type: cross Abstract: With the rapid proliferation of generative models, such as diffusion models, digital watermarking ha…
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arXiv:2605.20257v1 Announce Type: new Abstract: Recently, instance discrimination models have emerged as a major solution for self-supervised learning…
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arXiv:2605.19021v1 Announce Type: new Abstract: Deep Graph Neural Networks (GNNs) are essential for capturing complex dependencies in graph-structured…
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arXiv:2605.15705v1 Announce Type: cross Abstract: World models aim to improve robotic decision making by predicting the consequences of actions. Howev…
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arXiv:2605.16147v1 Announce Type: new Abstract: Vision Transformers (ViTs) are known to exhibit high-norm patch-token outliers that degrade feature ma…