Zekai Shao

Zekai Shao has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning; often with Binbin Zheng, Can Zu, Jie Zhou.

2 papers in our library · 2023–2026

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).

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models (2023 · 283 citations)
Earlier studies of OpenAI's GPT models mostly compared one model against fine-tuned systems. This paper instead follows how NLU capabilities change across the lineage from GPT-3 to GPT-3.5, and how each training step affects them. The authors test six models: davinci, text-davinci-001, code-davinci-002…
MASPO: Unifying Gradient Utilization, Probability Mass, and Signal Reliability for Robust and Sample-Efficient LLM Reasoning (2026 · 7 citations)
RLVR methods like GRPO inherit PPO-style hard clipping, which the authors argue is poorly suited to how LLMs learn reasoning.

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 110 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated 2 November 2026