conftrace_

interpretability evaluation

8 papers

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Co-occurring keywords · papers mentioning both

latent representation (2) language model (2) sparse autoencoder (2) large language model (2) feature alignment (2) unsupervised text analysis (1) held-out likelihood (1) semantic meaning (1) unsupervised analysis (1) knowledge graph (1)

Papers

FADE: Why Bad Descriptions Happen to Good Features ACL 2025 SFAL: Semantic-Functional Alignment Scores for Distributional Evaluation of Auto-Interpretability in Sparse Autoencoders EMNLP 2025 Constructing Word-Context-Coupled Space Aligned with Associative Knowledge Relations for Interpretable Language Modeling ACL 2023 The Solvability of Interpretability Evaluation Metrics EACL 2023 Is Multi-Hop Reasoning Really Explainable? Towards Benchmarking Reasoning Interpretability EMNLP 2021 Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? ACL 2020 Comparing Automatic and Human Evaluation of Local Explanations for Text Classification NAACL 2018 Reading Tea Leaves: How Humans Interpret Topic Models NeurIPS 2009