Yue Peng

Yue Peng has 2 papers in our library, in 2025–2026, most of them on Reasoning, Language models & pretraining; often with Shijie Shang, Chengyuan Yao, Di Huang.

2 papers in our library · 2025–2026

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

The most cited first (OpenAlex and our library).

StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion (2025 · 7 citations)
Autoformalization means converting natural-language math problems into formal statements, here in Lean 4. Current LLM approaches are still inaccurate. General-purpose models often misuse Lean details, such as calling functions that do not exist. Specialized translators trained on narrow annotated data tend to misread…
PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning (2026 · 5 citations)
Language models that reason step by step in a single chain hit a hard limit: once the context window is full, reasoning must stop.

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 12 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026