Skip to content

Author

Jiang-li Sheng

We have 1 of 2 papers

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.

Preprint Aug 2026

No Universal Signal Predicts Sample-Level LLM Regression under Version Updates

It is found that signal effectiveness is task-dependent: confidence is strongest on MCQ and simpler math, while likelihood/KL signals give the most frequent gains on harder math and code; no signal is universally best across model updates either, and some cross-version signals stay informative even when confidence fails, including without labels.

Jiang-li Sheng, Yiwei Lu · 0 citations

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