Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates 事件

Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates arXiv:2606.03029v1 Announce Type: new Abstract: A core goal of computational social science is to discover interpretable differences in how language varies across outcomes of interest, such as political affiliation or instructional quality. Recent LLM-based hypothesis generation methods describe such differences in natural language, but select for globally discriminative patterns without accountin