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Distilling What Matters: Confidence-Aware Selective Distillation for Large Language Models
CaRE-KD uses confidence-gated adaptive divergence and batch-level rejection to improve LLM distillation, boosting instruction-following, coding, and math benchmarks over strong baselines.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 2/5