TrustLLM: Trustworthiness in Large Language Models

Abstract

Comprehensive study of LLM trustworthiness across truthfulness, safety, fairness, robustness, privacy, and machine ethics with benchmarks.

Categories

Framework mappings

@inproceedings{sun2024trustllm,
  title = {{TrustLLM: Trustworthiness in Large Language Models}},
  author = {Lichao Sun and Yue Huang and Haoran Wang and Siyuan Wu and Qihui Zhang},
  year = {2024},
  booktitle = {ICML 2024},
  eprint = {2401.05561},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2401.05561}
}