2026
Beyond the Known: An Unknown-Aware Large Language Model for Open-Set Text Classification
ICLR 2026poster
Open-set text classification (OSTC) requires models to correctly classify in-distribution (ID) samples while reliably rejecting out-of-distribution (OOD) inputs—an essential capability for real-world NLP systems. Most OSTC methods train on ID data under the closed assumption that all outputs belong…