SciIntBench: Measuring LLM Compliance with Research Integrity Norms Under Adversarial Framing 事件

SciIntBench: Measuring LLM Compliance with Research Integrity Norms Under Adversarial Framing arXiv:2605.29468v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used to support scientific work, but it is unclear whether they uphold responsible conduct of research (RCR) norms or help undermine them. We introduce SciIntBench, an adversarial benchmark of 810 prompts across ten RCR categories and three scientific domains. Each scenario appears as an Overt Adversarial, C