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Shuicheng Yan

Shuicheng Yan has 2 papers in our library, in 2024, most of them on Language models & pretraining, Reasoning; often with Jujie He, Liang Zeng, Yahui Zhou.

2 papers in our library · 2024

current affiliationGoogle (United States), Mountain View, United States; National University of Singapore, Singapore, Singapore

OpenAlex · ORCID · h-index 139 · 998 works · 83 152 citations OpenAlex, 2026-10-14

2 works in our library · 231 citations in our library · 2 more works in our library · ⭐ Paper Star rank #4081

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

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 39 more institutions on single bylines are not listed.

Topics

Language models & pretraining2Reasoning1

Works by year

2020s

Papers

The most cited first (OpenAlex and our library).

  1. Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs (2024 · 104 citations)
    Reward models turn human preferences into a training signal for LLM alignment. Their quality depends heavily on the preference data, and open-source preference datasets tend to be noisy or inconsistently labelled. The authors take a data-first approach. Using only public sources (HelpSteer2, OffsetBias, WildGuardMix…
  2. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models -- The Story Goes On (2024 · 14 citations)
    The paper asks whether strong mathematical reasoning really requires very large models, and whether supervised fine-tuning (SFT) only changes output style.

Also in our library

2 more works of theirs are in our library without a page here yet; they will appear as we publish them.

Co-authors here

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

Cited by

Papers of our library cite their works 231 times (of the 140 884 papers whose bibliographies we read); 13 citing papers with a page here →.

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