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LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models
Exploring the safety risks of deception in Large Language Models through a new multi-agent framework.
editorial-staff
1 min read
Updated 29 days ago
Summary
Summary
- Introduces LieCraft, a framework for assessing deception in LLMs.
- Addresses safety risks associated with advanced language models.
- Highlights the need for evaluating agency in AI systems.
Key Facts
| Fact | Value |
|---|---|
| Publication Date | 2026-03-10 |
| Source | ArXiv AI |
| Document ID | arXiv:2603.06874v1 |
Sources
- ArXiv AI: https://arxiv.org/abs/2603.06874
Key Facts
| Fact | Value |
|---|---|
| Primary source | ArXiv AI |
| Source count | 3 |
| First published | 2026-03-10T04:00:00.000Z |
Updates
Update at 04:00 UTC on 2026-03-13
ArXiv AI reported Exploring the psychometric validity of large language models and their complex reasoning capabilities.
Sources: ArXiv AI
Update at 04:00 UTC on 2026-03-13
ArXiv AI reported Exploring new methods for unlearning in Large Language Models to enhance safety and compliance.
Sources: ArXiv AI
Sources
- ArXiv AI: https://arxiv.org/abs/2603.06874
- ArXiv AI: https://arxiv.org/abs/2603.11279
- ArXiv AI: https://arxiv.org/abs/2603.11266