Papers by Hooshang Ghasemi

1 papers
Enhancing User Safety: Context-Aware Detection of Offensive Query-Ad Pairs in Multimodal Search Advertising (2026.eacl-industry)

Copied to clipboard

Challenge: Multi-modal online advertisements require robust content moderation to ensure user safety . key challenges include nuanced, multi-modal nature of ads, severe data scarcity and class imbalance due to the rarity of offensive content .
Approach: They propose a framework that detects offensive content only when a user's search query is paired with a specific ad .
Outcome: The proposed framework reduces the serving of offensive query-ad pairs by more than 80% while maintaining the efficiency required for real-time advertising systems.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations