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Papers
Attribution Analysis-based Concept Alignment: A Human-in-the-loop Data Debugging Framework
AAAI 2026
Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans
AAAI 2026
Towards Intrinsic Interpretability of Large Language Models: A Survey of Design Principles and Architectures
ACL 2026
CARE: A Disagreement Detection Framework with Concept Alignment and Reasoning Enhancement
EMNLP 2025
ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
ICLR 2025
Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated Margin
ICML 2025
Pruning the Paradox: How CLIP’s Most Informative Heads Enhance Performance While Amplifying Bias
EMNLP 2025
Semi-supervised Concept Bottleneck Models
ICCV 2025
Universal Sparse Autoencoders: Interpretable Cross-Model Concept Alignment
ICML 2025
AltDiffusion: A Multilingual Text-to-Image Diffusion Model
AAAI 2024
Anchor and Broadcast: An Efficient Concept Alignment Approach for Evaluation of Semantic Graphs
COLING 2024
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
NeurIPS 2024
Concept Space Alignment in Multilingual LLMs
EMNLP 2024
MoCCA: A Model of Comparative Concepts for Aligning Constructicons
COLING 2024
Multi-modal Concept Alignment Pre-training for Generative Medical Visual Question Answering
ACL 2024
On the Concept Trustworthiness in Concept Bottleneck Models
AAAI 2024
Towards Multi-dimensional Explanation Alignment for Medical Classification
NeurIPS 2024
A Crosslingual Investigation of Conceptualization in 1335 Languages
ACL 2023
Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization
EMNLP 2023
Labeling Neural Representations with Inverse Recognition
NeurIPS 2023
Language in a Bottle: Language Model Guided Concept Bottlenecks for Interpretable Image Classification
CVPR 2023
Delving into Out-of-Distribution Detection with Vision-Language Representations
NeurIPS 2022
Discovery of Natural Language Concepts in Individual Units of CNNs
ICLR 2019