Wei Chu

Wei Chu has 3 papers in our library, in 2020–2026, most of them on Language models & pretraining, Reasoning, Efficient models & compression; often with Yuan Qi, Weidi Xu, Biao Wu.

3 papers in our library · 2020–2026

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Fields, topics and concepts

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

The most cited first (OpenAlex and our library).

SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check (2020 · 199 citations)
Chinese Spelling Check (CSC) means finding and fixing misused characters in Chinese text. Many such errors involve characters that sound or look alike but differ completely in meaning. Earlier systems used confusion sets only to narrow down candidate replacements. They did not model how similar characters relate to…
Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset (2026 · 4 citations)
Converting scanned pages into structured Markdown is difficult. Pages mix paragraphs, tables, formulas and figures, and a parser must recover both the content and its layout and reading order. The authors identify two obstacles: there is little training data with precise, layout-aware annotation, and supervised…
Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning (2026 · 3 citations)
Distilling reasoning skills from a large teacher into a small student usually relies on rejection sampling.

10 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 53 times (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026