扩散语言模型的汇点感知剪枝
论文信息 标题: Sink-Aware Pruning for Diffusion Language Models 作者: Aidar Myrzakhan, Tianyi Li, Bowei Guo, et al. 发布日期: 2026-02-19 arXiv ID: 2602.17664v1 PDF链接: 下载PDF 扩散语言模型的高效剪枝新范式:Sink-Aware Pr...
论文信息 标题: Sink-Aware Pruning for Diffusion Language Models 作者: Aidar Myrzakhan, Tianyi Li, Bowei Guo, et al. 发布日期: 2026-02-19 arXiv ID: 2602.17664v1 PDF链接: 下载PDF 扩散语言模型的高效剪枝新范式:Sink-Aware Pr...
论文信息 标题: Policy Compiler for Secure Agentic Systems 作者: Nils Palumbo, Sarthak Choudhary, Jihye Choi, et al. 发布日期: 2026-02-18 arXiv ID: 2602.16708v1 PDF链接: 下载PDF 从“提示词约束”到“确定性执行”:PCAS如何为智能体系...
论文信息 标题: Knowledge-Embedded Latent Projection for Robust Representation Learning 作者: Weijing Tang, Ming Yuan, Zongqi Xia, et al. 发布日期: 2026-02-18 arXiv ID: 2602.16709v1 PDF链接: 下载PDF 知识嵌入的潜在...
论文信息 标题: Ensemble-size-dependence of deep-learning post-processing methods that minimize an (un)fair score: motivating examples and a proof-of-concept solution 作者: Christopher David Roberts 发布日期...
论文信息 标题: Long Context, Less Focus: A Scaling Gap in LLMs Revealed through Privacy and Personalization 作者: Shangding Gu 发布日期: 2026-02-16 arXiv ID: 2602.15028v1 PDF链接: 下载PDF 长上下文,弱聚焦:隐私与个性化揭示...
论文信息 标题: Symmetry in language statistics shapes the geometry of model representations 作者: Dhruva Karkada, Daniel J. Korchinski, Andres Nava, et al. 发布日期: 2026-02-16 arXiv ID: 2602.15029v1 PDF链...
论文信息 标题: Semantic Chunking and the Entropy of Natural Language 作者: Weishun Zhong, Doron Sivan, Tankut Can, et al. 发布日期: 2026-02-13 arXiv ID: 2602.13194v1 PDF链接: 下载PDF 语义分块与自然语言的熵:揭示语言冗余的多尺度...
论文信息 标题: Imitating What Works: Simulation-Filtered Modular Policy Learning from Human Videos 作者: Albert J. Zhai, Kuo-Hao Zeng, Jiasen Lu, et al. 发布日期: 2026-02-13 arXiv ID: 2602.13197v1 PDF链接: ...
论文信息 标题: Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage 作者: Xin Ju, Jiachen Yao, Anima Anandkumar, et al. 发布日期: 2026-02-12 arXiv ID: 2602.1227...
论文信息 标题: Agentic Test-Time Scaling for WebAgents 作者: Nicholas Lee, Lutfi Eren Erdogan, Chris Joseph John, et al. 发布日期: 2026-02-12 arXiv ID: 2602.12276v1 PDF链接: 下载PDF 智能体测试时计算扩展新范式:CATTS技术深度...