Author

F. Ongenae

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Open access Aug 2026

Label space reduction for transductive zero-shot classification with large language models

This work proposes distilling the model into a probabilistic classifier, enabling lightweight deployment without repeated LLM calls, and demonstrates that LSR improves macro-F1 scores by an average of 7.0% compared to standard zero-shot classification baselines.

Nathan Vandemoortele, Bram Steenwinckel, F. Ongenae et al. · Discover Computing · 0 citations