Flames: Benchmarking Value Alignment of Chinese Large Language Models

arXiv:2311.06899v2 Announce Type: replace
Abstract: The widespread adoption of large language models (LLMs) across various regions underscores the urgent need to evaluate their alignment with human values. Current benchmarks, however, fall short of effectively uncovering safety vulnerabilities in LLMs. Despite numerous models achieving high scores and 'topping the chart' in these evaluations, there is still a significant gap in LLMs' deeper alignment with human values and achieving genuine harmlessness. To this end, this paper proposes a value alignment benchmark named …

alignment arxiv benchmarking chinese cs.ai cs.cl language language models large language large language models type value