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Ensembling Language Models with Sequential Monte Carlo
A byte-level sequential Monte Carlo algorithm samples from composed language model ensembles, outperforming naive probability averaging across structured generation tasks.
Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 0/5