ArticleAdvances in neural information processing systems2024
Crafting Interpretable Embeddings for Language Neuroscience by Asking LLMs Questions.
Article in Advances in neural information processing systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Brain-AI Alignment in Naturalistic Movies.bioRxiv : the preprint server for biology · 2025Article
- Evaluating scientific theories as predictive models in language neuroscience.bioRxiv : the preprint server for biology · 2025Article
- Article
- Long-term care plan recommendation for older adults with disabilities: a bipartite graph transformer and self-supervised approach.Journal of the American Medical Informatics Association : JAMIA · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Large language models (LLMs) have rapidly improved text embeddings for a growing array of natural-language processing tasks. However, their opaqueness and proliferation into scientific domains such as neuroscience have created a growing need for interpretability. Here, we ask whether we can obtain interpretable embeddings through LLM prompting. We introduce question-answering embeddings (QA-Emb), embeddings where each feature represents an answer to a yes/no question asked to an LLM. Training QA-Emb reduces to selecting a set of underlying questions rather than learning model weights. We use QA-Emb to flexibly generate interpretable models for predicting fMRI voxel responses to language stimuli. QA-Emb significantly outperforms an established interpretable baseline, and does so while requiring very few questions. This paves the way towards building flexible feature spaces that can concretize and evaluate our understanding of semantic brain representations. We additionally find that QA-Emb can be effectively approximated with an efficient model, and we explore broader applications in simple NLP tasks.
Identifiers
40276238PMC12021422What OpenQuestion holds
Registered trials
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