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Kaiwen Zhou

Kaiwen Zhou has 3 papers in our library, in 2025, most of them on Reasoning, Bias, fairness & safety; often with Dawn Song, Gaowen Liu, Jayanth Srinivasa.

3 papers in our library · 2025

OpenAlex · ORCID · h-index 6 · 41 works · 86 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 40 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7852

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. 3 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1 (2025 · 30 citations)
    Open-weight large reasoning models such as DeepSeek-R1 have become much stronger. Because they are freely available, misuse is a real concern. This study audits their safety systematically. It compares three open reasoning models (DeepSeek-R1, the Llama 3.3-based distilled DeepSeek-R1-70b, and QwQ) with non-reasoning…
  2. GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent (2025 · 9 citations)
    Multimodal LLM agents that operate mobile apps often misread interface elements, such as a music-recognition icon in QQ Music, and their built-in knowledge becomes outdated as apps update. Fine-tuning for each app version is too costly. GUI-explorer is a training-free agent that addresses both problems in three steps:
  3. SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning (2025 · 9 citations)
    Large Reasoning Models (LRMs) such as DeepSeek-R1 deliberate before answering, but they often comply with harmful requests and jailbreaks.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning ↗Findings of the Association for Computational Linguistics: EACL 2026 · no summary yetKaiwen Zhou et al.2026

 Co-authors here

11 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 40 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

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