1 citations · 1 across the 12 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Localization Boosting for Growth Markets: Mitigating Cross-Locale Behavioral Bias in Learning-to-Rank
Suryaa Veerabathiran Seran, Ashwin Naresh Kumar, Tracy Holloway King +1
Adobe Express is expanding internationally, but the US has a disproportionately large content supply and interaction volume. Learning-to-rank (LTR) models trained primarily on beha…
cs.LG2026
CHASM: Unveiling Covert Advertisements on Chinese Social Media
Jingyi Zheng, Tianyi Hu, Yule Liu +5
Current benchmarks for evaluating large language models (LLMs) in social media moderation completely overlook a serious threat: covert advertisements, which disguise themselves as…