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TrustLLM: Transparency
Abstract Introduction Background Trust LLM Preliminaries Assessments Trustworthiness Truthfulness Safety Fairness Robustness Privacy Protection Machine Ethics Transparency AccountabilityOpen Challenges Future WorkConclusions Synopsis The discussion centers around the critical role of transparency in the responsible development of Large Language Models (LLMs). Transparency is vital to understand the capabilities and limitations of LLMs, how they operate, and manage their outputs. The discussion explores various dimensions of transparency, including informational, normative, relational, and social aspects, and the challenges and approaches in enhancing transparency in LLMs. Different Perspectives on Transparency: Transparency in LLMs is multi-faceted, encompassing informational (disclosure of details about a model),...