Teng Fang

Best-of-Evidence: Best-of-N Selection under Partial Verification

Cenwei Zhang, Teng Fang, Yuxia Wang, Derek Li, Bryan Dai, Lei You

BoN improves model outputs by sampling several candidates and selecting one with a proxy score, but it assumes that complete candidates can be evaluated reliably. Many vision-language tasks instead provide only partial verification: a finding, span, value, region, or relation may…Read more