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interpretable feature

29 papers

Papers

Constructing Interpretable Features from Compositional Neuron Groups ACL 2026 Decoding Alzheimer’s: Interpretable Visual and Logical Attention in Picture Description Tasks Interspeech 2025 Interpretable Company Similarity with Sparse Autoencoders ACL 2025 Learning Interpretable Features from Interventions RSS 2025 Residualized Similarity for Faithfully Explainable Authorship Verification EMNLP 2025 Scaling and evaluating sparse autoencoders ICLR 2025 Sparse Autoencoder Features for Classifications and Transferability EMNLP 2025 Sparse Autoencoders for Hypothesis Generation ICML 2025 Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy EMNLP 2025 Verbalized Representation Learning for Interpretable Few-Shot Generalization ICCV 2025 Adaptive Language-Guided Abstraction from Contrastive Explanations CoRL 2024 An LLM Feature-based Framework for Dialogue Constructiveness Assessment EMNLP 2024 Compositional Preference Models for Aligning LMs ICLR 2024 Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders NeurIPS 2024 Non-negative Contrastive Learning ICLR 2024 Q-SENN: Quantized Self-Explaining Neural Networks AAAI 2024 Word-level Text Markup for Prosody Control in Speech Synthesis Interspeech 2024 CHiLL: Zero-shot Custom Interpretable Feature Extraction from Clinical Notes with Large Language Models EMNLP 2023 Learning Sparse Interpretable Features For NAS Scoring From Liver Biopsy Images IJCAI 2022 Online Nonnegative CP-dictionary Learning for Markovian Data JMLR 2022 Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer CoRL 2022 Artificial Text Detection via Examining the Topology of Attention Maps EMNLP 2021 A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN COLING 2020 Learning interpretable multi-modal features for alignment with supervised iterative descent MIDL 2019 Scaling Up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction JMLR 2019