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TrustLLM: Preliminaries
Abstract Introduction Background Trust LLM Preliminaries Assessments Trustworthiness Truthfulness Safety Fairness Robustness Privacy Protection Machine Ethics Transparency AccountabilityOpen Challenges Future WorkConclusions Types of Ethical Agents TRUSTLLM Preliminaries The Preliminaries of TRUSTLLM section lays the groundwork for understanding the benchmark design in evaluating various Language Large Models (LLMs). The inclusion of both proprietary and open-weight LLMs showcases an in-depth and inclusive approach. Moreover, the emphasis on experimental setup – detailing datasets, tasks, prompt templates, and evaluation methods – provides a clear and systematic approach for assessment. The ethical consideration highlighted reflects a responsible and conscientious approach to research, especially considering the...