Jentse Huang Announces CQ-Bench Paper Accepted to TMLR

Jentse Huang posted that their paper was accepted to TMLR. The announcement from the Johns Hopkins postdoc includes a link to the open review forum. Huang described the work as CQ-Bench, a benchmark for testing large language models on cultural intelligence. The post notes Huang's prior roles at CUHK, PKU, USC, and Tencent, along with research interests in human-LLM alignment and multi-agent simulation. No further details on the paper's content or review process appear in the source.