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Liming Zhu

4 papers hereh-index 334 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CY3
  • cs.CR1
same name
  • Liming Zhu — 26 papers, h 46
  • Liming Zhu — 25 papers, h 19
  • Liming Zhu — 17 papers
  • Liming Zhu — 5 papers, h 11
  • Liming Zhu — 3 papers, h 3
  • Liming Zhu — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedInternational AI Safety Report 2025: First Key Update: Capabilities and Risk Implications

3 citations · 4 across the 3 of their papers we have counts for

collaborators

4 papers

cs.CR2026

Clawed and Dangerous: Can We Trust Open Agentic Systems?

Shiping Chen, Qin Wang, Guangsheng Yu +2

Open agentic systems combine LLM-based planning with external capabilities, persistent memory, and privileged execution. They are used in coding assistants, browser copilots, and e…

cs.CY2026

International AI Safety Report 2026

Yoshua Bengio, Stephen Clare, Carina Prunkl +89

The International AI Safety Report 2026 synthesises the current scientific evidence on the capabilities, emerging risks, and safety of general-purpose AI systems. The report series…

cs.CY2025★ 1 cited

International AI Safety Report 2025: Second Key Update: Technical Safeguards and Risk Management

Yoshua Bengio, Stephen Clare, Carina Prunkl +66

This second update to the 2025 International AI Safety Report assesses new developments in general-purpose AI risk management over the past year. It examines how researchers, publi…

cs.CY2025★ 3 cited

International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications

Yoshua Bengio, Stephen Clare, Carina Prunkl +70

Since the publication of the first International AI Safety Report, AI capabilities have continued to improve across key domains. New training techniques that teach AI systems to re…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.