Representation

Content-Aware Frequency Encoding for Implicit Neural Representations with Fourier-Chebyshev Features CVPR 2026 Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models ACL 2026 From Weights to Activations: Is Steering the Next Frontier of Adaptation? ACL 2026 How Context Shapes Truth: Geometric Transformations of Statement-level Truth Representations in LLMs ACL 2026 Patches of Nonlinearity: Instruction Vectors in Large Language Models ACL 2026 Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal Exploration ACL 2026 Symbolic Grounding Reveals Representational Bottlenecks in Abstract Visual Reasoning CoNLL 2026 HOPE: A Memory-Based and Composition-Aware Framework for Zero-Shot Learning with Hopfield Network and Soft Mixture of Experts WACV 2025 Do Vision and Language Encoders Represent the World Similarly? CVPR 2024 Provably Optimal Memory Capacity for Modern Hopfield Models: Transformer-Compatible Dense Associative Memories as Spherical Codes NeurIPS 2024 Brauer’s Group Equivariant Neural Networks ICML 2023 How Jellyfish Characterise Alternating Group Equivariant Neural Networks ICML 2023 Isotropy in the Contextual Embedding Space: Clusters and Manifolds ICLR 2021 Label Enhancement with Sample Correlations via Low-Rank Representation AAAI 2020 Self-Supervised Learning via Conditional Motion Propagation CVPR 2019 Neural representation of action sequences: how far can a simple snippet-matching model take us? NeurIPS 2013 Interpreting the neural code with Formal Concept Analysis NeurIPS 2008