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LLM 训练后管道的自动配置
Automatic Configuration of LLM Post-Training Pipelines
👁 414 📚 3
Enhancing the Parameterization of Reservoir Properties for 数据 (Data) Assimilation Using Deep VAE-GAN
Enhancing the Parameterization of Reservoir Properties for Data Assimilation Using Deep VAE-GAN
👁 107 📚 11
是否需要复杂的损失功能来教LLMs讲道理?
Are complicated loss functions necessary for teaching LLMs to reason?
👁 141 📚 36
纪念技能:让特工设计特工
Memento-Skills: Let Agents Design Agents
👁 33 📚 11
Holter-to-Sleep:AI-Enabled 重新使用单行体ECG来做睡眠诱导
Holter-to-Sleep: AI-Enabled Repurposing of Single-Lead ECG for Sleep Phenotyping
👁 177 📚 41
From ex(p) to poly: Gaussian Splatting with Polynomial Kernels
👁 159 📚 17
Quantitative Introspection in Language 模型 (Model)s: Tracking Internal States Across Conversation
Quantitative Introspection in Language Models: Tracking Internal States Across Conversation
👁 442 📚 26
MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language 模型 (Model)
MultihopSpatial: Multi-hop Compositional Spatial Reasoning Benchmark for Vision-Language Model
👁 441 📚 47
数学对象上的理由:政策奖励模型和测试时间汇总
Reasoning over mathematical objects: on-policy reward modeling and test time aggregation
👁 294 📚 41
ChatGPT指出
Geography According to ChatGPT -- How Generative AI Represents and Reasons about Geography
👁 67 📚 23
Evaluating LLM-Generated Lessons from the Language 学习 (Learning) Students' Perspective: A Short Case...
Evaluating LLM-Generated Lessons from the Language Learning Students' Perspective: A Short Case Stud...
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多输出系统识别的有限样本范围
Finite-sample bounds for multi-output system identification
👁 147 📚 14
有时非参数比喻,即使模型正确
Sometimes nonparametrics beat parametrics, even when the model is right
👁 142 📚 23
由多变量 Erlang 分布的混合物构成的近似值
Approximation by mixtures of multivariate Erlang distributions
👁 287 📚 42
加权正交多名数中后相密度的最小最大最佳汇合率
The minimax optimal convergence rate of posterior density in the weighted orthogonal polynomials
👁 102 📚 32
Minimax Optimal 估计 (Estimation) of Mean and Covariance Functions with Spectral Regularization
Minimax Optimal Estimation of Mean and Covariance Functions with Spectral Regularization
👁 261 📚 42
高度适应性的经验风险
Highly Adaptive Empirical Risk Minimization with Principal Components
👁 215 📚 26
关于高维度边际的结构
On the structure of marginals in high dimensions
👁 480 📚 17
Identifiability and 估计 (Estimation) in Continuous Lyapunov 模型 (Model)s
Identifiability and Estimation in Continuous Lyapunov Models
👁 355 📚 30
在高频观测下混合分量Ornstein-Uhlenbeck过程的局部不对称常态
Local asymptotic normality for mixed fractional Ornstein-Uhlenbeck process under high-frequency obse...
👁 394 📚 47