2026
DUAL-SPACE KNOWLEDGE DISTILLATION WITH KEY-QUERY MATCHING FOR LARGE LANGUAGE MODELS WITH VOCABULARY MISMATCH
ICASSP 2026poster
Large language models (LLMs) achieve state-of-the-art (SOTA) performance across language tasks, but are costly to deploy due to their size and resource demands. Knowledge Distillation (KD) addresses this by training smaller Student models to mimic larger Teacher models, improving efficiency without…