Inseq

non-profit

https://inseq.org

InseqLib

inseq-team

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AI & ML interests

Interpretability for Generative Language Models 🔎 🐛

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gsarti authored a paper 5 months ago

Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses

nfel authored a paper 5 months ago

Thermostat: A Large Collection of NLP Model Explanations and Analysis Tools

nfel authored a paper 5 months ago

Saliency Map Verbalization: Comparing Feature Importance Representations from Model-free and Instruction-based Methods

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Inseq 🐛 is a Pytorch-based hackable toolkit to democratize access to common post-hoc interpretability analyses for decoder-only and encoder-decoder sequence generation models.
The Inseq organization on the 🤗 Hub aims to host valuable models, datasets and demos to improve the reproducibility of interpretability studies in the field of natural language generation.