AINeutralarXiv – CS AI · Jun 46/10
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Do LLMs Hold Their Values? MANTA: A Multi-Turn Adversarial Benchmark for Animal Welfare Reasoning
Researchers introduced MANTA, a 1,088-conversation benchmark evaluating how large language models maintain animal welfare values under adversarial pressure across five-turn exchanges. The study reveals that models significantly change performance rankings when subjected to sustained questioning rather than single-turn queries, with some models like Gemini Flash Lite dropping dramatically in value stability despite initial moral sensitivity.
🧠 GPT-5🧠 Claude🧠 Opus
