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D. 对OPD的澄清:大语文模型的长度通膨和稳定战略
Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models
👁 85 📚 20
GaussiAnimate:具有动态水平的重构和硬动能分类
GaussiAnimate: Reconstruct and Rig Animatable Categories with Level of Dynamics
👁 51 📚 9
B. 见而不去想:在多式混合型专家中的循环分流
Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts
👁 210 📚 12
对移徙风险进行主权评级的气候意识科普拉模型
Climate-Aware Copula Models for Sovereign Rating Migration Risk
👁 184 📚 30
Meta-Learning In-Context 启用培训免费交叉主题大脑解码
Meta-learning In-Context Enables Training-Free Cross Subject Brain Decoding
👁 70 📚 1
mmid:用于Python保健分析的多模式整合和下游分析
mmid: Multi-Modal Integration and Downstream analyses for healthcare analytics in Python
👁 97 📚 30
在限制中区分私人语言的生成和识别
Differentially Private Language Generation and Identification in the Limit
👁 69 📚 18
用于全设施数据中心基础设施规划的工作负荷功率简介
Measurement of Generative AI Workload Power Profiles for Whole-Facility Data Center Infrastructure P...
👁 110 📚 23
右侧: 运动控制完成
MoRight: Motion Control Done Right
👁 28 📚 17
个性化奖励奔驰:用人类相适应的个性化评价奖励模式
Personalized RewardBench: Evaluating Reward Models with Human Aligned Personalization
👁 96 📚 14
General Path-Law Jump-Diftation:马可斯-Signature RKHS中的序列MMD-Gradient流和通俗化边界
Generative Path-Law Jump-Diffusion: Sequential MMD-Gradient Flows and Generalisation Bounds in Marcu...
👁 93 📚 13
带有弹性测试-时间训练的快空间内存
Fast Spatial Memory with Elastic Test-Time Training
👁 44 📚 23
为多式稀有活动模拟进行重要取样
Niching Importance Sampling for Multi-modal Rare-event Simulation
👁 56 📚 28
关于语言识别和生成隐私的价格
On the Price of Privacy for Language Identification and Generation
👁 35 📚 13
Churn流的地貌特征和无监督地修正了小地平线上吴流-地平线平面图
Topological Characterization of Churn Flow and Unsupervised Correction to the Wu Flow-Regime Map in ...
👁 207 📚 6
行动图像:通过多视图视频生成进行端到端政策学习
Action Images: End-to-End Policy Learning via Multiview Video Generation
👁 51 📚 15
纸圈:一个开源多剂研究发现和分析框架
Paper Circle: An Open-source Multi-agent Research Discovery and Analysis Framework
👁 190 📚 18
附有统计保证的连续审计抽样
Sequential Audit Sampling with Statistical Guarantees
👁 102 📚 19
现场测试-时间培训
In-Place Test-Time Training
👁 113 📚 18
大规模经验比较Meta-Learners和Causal森林在营销提升模型中的不同处理效果估计
A Large-Scale Empirical Comparison of Meta-Learners and Causal Forests for Heterogeneous Treatment E...
👁 86 📚 2
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