Skip to content

Author

Cheng-Quan Guo

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#natural language process... Preprint May 2026

Beyond Math and Code: Lightweight Corpus-Grounded Process Rewards for Factual Question Answering

CorVer (Corpus Verify) is a lightweight training-time approach to process supervision that derives sentence-level rewards from corpus co-occurrence statistics and outperforms the unmodified models in all standard factual-QA settings.

Shi-Chen Fan, Hao-Chang Hao, De-Hai Min et al. · 5 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.