From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

Fields, topics and concepts

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

📚 Shelves 4Artificial Intelligence · 2 works Computer Science · 2 works Arts and Humanities · 1 work Language and Linguistics · 1 work

🧭 Topics 2Evaluation & benchmarks · 1 work Language models & pretraining · 1 work

Works by year

2020s

20261 paper 20251 paper

Papers

The most cited first (OpenAlex and our library).

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge (2025 · 12 citations)
Large language models are usually tested on public, static benchmarks, and those test items can leak into the training data of later models, which inflates their scores.
P2P: A Poison-to-Poison Remedy for Reliable Backdoor Defense in LLMs (2026 · 3 citations)
Fine-tuning LLMs on third-party or outsourced data exposes them to data-poisoning backdoors. Most existing defenses filter or sanitize inputs and only work against particular trigger styles or task types. Onion targets character-level triggers, while PDB and PSIM are limited to classification. The authors propose…

Co-authors here

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

Venues

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

Cited by

Papers of our library cite their works 13 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/shuai-zhao/

🧑‍🔬 Shuai Zhao

🏛️ Affiliations

🧭 Fields, topics and concepts

📅 Works by year

2020s

📄 Papers

🤝 Co-authors here

Venues

🔗 Cited by

Shuai Zhao

Affiliations

Fields, topics and concepts

Works by year

Papers

Co-authors here

Cited by