Abstractive summarization models remain vulnerable to factual inconsistency, redundancy, and weak length control. We propose a modular generation-and-selection framework for sentence-budget-constrained summarization. A pretrained generator produces multiple candidate summaries, which are decomposed into sentence-level...
LLM-judge audits assess bias by comparing ratings across matched conditions. Difference-in-differences designs compare two candidate responses within each item and then compare that contrast across a manipulated attribute. We show in closed form that this endpoint need not identify differential preference on the latent...
Shu-Yi Fan, Bo-Yuan Deng, Meng-Yu Xu et al.· 0 citations
A constrained mixed-strategy GroupDRO framework for system-prompt selection that reduces the Overall Mean, Worst 25% Mean, and Worst by 13.7% on average relative to no mitigation while keeping overall quality close to Average selection.
Mengyu Xu, Qiaoxin Yang, Zhihan Liu et al.· 0 citations
A post hoc robustness audit of the same 1,179 confirmatory answer-phase tutor turns under the frozen helpfulness and pedagogy rubrics finds that general-purpose helpfulness is not a reliable pedagogy signal.
