Interview with Bo Li: A comprehensive assessment of trustworthiness in GPT models

Bo Li and colleagues won an outstanding datasets and benchmark track award at NeurIPS 2023 for their work DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models. In this interview, Bo tells us about the research, the team’s methodology, and key findings. What is the focus of the research in your paper and why is […]

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