Announcement_9

[NeurIPS 2024] Our paper “Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models” has been accepted to NeurIPS 2024. It aligns a frozen large language model at inference time by searching with the log-probability difference between smaller tuned and untuned models.