VALCON: Benchmarking and Enhancing Value Consistency in Large Language Models via Dual-Role Variation

Current value alignment evaluations for large language models (LLMs) heavily rely on output compliance, overlooking whether LLMs maintain value consistency when alternating between generator and evaluator roles. Such consistency is increasingly important because modern LLM agents and alignment pipel