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Artificial Intelligence › Core AI ›

Representation

11 papers

Papers per year

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Papers

Patches of Nonlinearity: Instruction Vectors in Large Language Models ACL 2026

Student Guides Teacher: Weak-to-Strong Inference via Spectral Orthogonal Exploration ACL 2026

From Weights to Activations: Is Steering the Next Frontier of Adaptation? ACL 2026

Embracing Anisotropy: Turning Massive Activations into Interpretable Control Knobs for Large Language Models ACL 2026

How Context Shapes Truth: Geometric Transformations of Statement-level Truth Representations in LLMs ACL 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

Brauer’s Group Equivariant Neural Networks ICML 2023

How Jellyfish Characterise Alternating Group Equivariant Neural Networks ICML 2023

Label Enhancement with Sample Correlations via Low-Rank Representation AAAI 2020

Self-Supervised Learning via Conditional Motion Propagation CVPR 2019