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20242026
most citedOne fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity

5 citations · 5 across the 4 of their papers we have counts for

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cs.LG2025

Priors in Time: Missing Inductive Biases for Language Model Interpretability

Ekdeep Singh Lubana, Can Rager, Sai Sumedh R. Hindupur +13

Recovering meaningful concepts from language model activations is a central aim of interpretability. While existing feature extraction methods aim to identify concepts that are ind…

cs.CL2025

Cognitive models can reveal interpretable value trade-offs in language models

Sonia K. Murthy, Rosie Zhao, Jennifer Hu +4

Value trade-offs are an integral part of human decision-making and language use, however, current tools for interpreting such dynamic and multi-faceted notions of values in languag…