Inference-Time Commitment Shaping: A Framework for Quiet Failure Mitigation in LLM Systems

Key Points

• The aim is to develop a framework that regulates certainty and authority in outputs of large language models to reduce quiet failures.
• Introduced Inference-Time Commitment Shaping (IFCS) framework
• Illustrative validation of the framework
• Focus on design correctness without statistical generalization
• Proposed framework addresses overstated certainty and misleading responses
• Illustrative examples show potential effectiveness in output regulation
• Emphasizes the need for regulating commitment strength in language models