Machine learning foundations· 2024
AgentHarm: A Benchmark for Measuring Harmfulness of LLM Agents
On the reading lists
- #80 in Machine learning foundations (2026 edition)
The record
- First released
- 2024 (from arXiv 2410.09024)
- Citations
- 508 citations, as counted by Papers With Code (CC BY-SA 4.0)
- Named by
- the chatgpt list only
- Score
- 0.255 · computed rank 725 · consensus 0.175, must-read 0, citations percentile 0.579 (2020s · foundations), awards 0, existing lists 0. Method
Data sources
Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.