Tag: Representation Learning
All the articles with the tag "Representation Learning".
-
Single-shot prediction of parametric partial differential equations
Published: at 11:13 AM
99.48 🤔Flexi-VAE introduces a variational autoencoder framework for single-shot forecasting of parametric PDEs, using a neural propagator to achieve efficient, accurate long-horizon predictions with significant speedups over sequential models like AE-LSTM, as validated on Burgers' and advection-diffusion equations.
-
Belief Injection for Epistemic Control in Linguistic State Space
Published: at 11:37 AM 96.91 🤔This paper proposes belief injection as a proactive epistemic control mechanism to shape AI agents' internal linguistic belief states within the Semantic Manifold framework, offering diverse strategies for guiding reasoning and alignment, though it lacks empirical validation.
-
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Published: at 11:11 AM 93.91 🤔本文通过 pass@k 指标系统评估 RLVR 在大型语言模型推理能力边界上的效果，发现 RLVR 仅提高采样效率而未引入新推理模式，其能力受限于基础模型，强调需改进 RL 范式以激发真正的新推理能力。
-
Test-time Correlation Alignment
Published: at 12:21 AM 93.31 🤔本文提出测试时相关性对齐（TCA）范式，通过构建伪源域相关性并应用线性变换对齐测试数据特征，显著提升测试时适应（TTA）性能，同时保持高效性和源域知识。
-
Attention Retrieves, MLP Memorizes: Disentangling Trainable Components in the Transformer
Published: at 11:59 AM 93.14 🤔本文通过冻结Transformer组件并提出MixiT模型，揭示了自注意力机制在检索和语言建模中的输入依赖性必要性，以及MLP层在记忆中的主导作用，强调了架构异质性对任务解决的重要性。