Shaoning Sun

Shaoning Sun has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining; often with Yujiu Yang, Haifeng Wang, Hua Ren Wu.

3 papers in our library · 2025–2026

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

Improve LLM-as-a-Judge Ability as a General Ability (2025 · 15 citations)
The paper addresses training generative LLM judges, which produce reasoned verdicts on which of two responses is better.
ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection (2026 · 4 citations)
Standard supervised fine-tuning (SFT) trains an LLM to reproduce one reference answer token by token. Valid alternative phrasings are therefore penalized, and the model tends to memorize surface wording. Training on several references per prompt could help, but the authors find it expensive and unstable. They instead…
Distributional Clarity: The Hidden Driver of RL-Friendliness in Large Language Models (2026)
Under identical RL with verifiable rewards (RLVR) pipelines such as GRPO and DAPO, some model families (Qwen) improve markedly while others (Llama) gain little.

11 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 16 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated 1 November 2026