In the news
When Should LLMs Abstain? Chain-of-Self-Questioning for Selective Risk Control
arXiv cs.AI · Published · 3 min read
In 30 seconds
- What happened
- Chain-of-Self-Questioning framework lets LLMs decide whether to answer or abstain by assessing information sufficiency before committing to responses.
- Why it matters
- Matters for engineers building systems where wrong answers are costly, like medical advice, legal guidance, or safety-critical applications requiring reliable refusal.
- Watch out
- Framework tested only on multiple-choice and short-answer formats; unclear how well self-assessment transfers to open-ended generation or real-world deployment scenarios.
- llm
- language model
- prompt
- eval
- open-weight
The patterns behind this
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