Papers by Vageesh Kumar Saxena

2 papers
MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data (2025.findings-acl)

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Challenge: Existing methods for human trafficking detection ignore the multimodal nature of online ads . sex trafficking is a pervasive crime exploiting individuals of all ages and genders .
Approach: They propose to use multimodal authorship attributes to identify suspicious ads that combine text and images to improve vendor identification and verification tasks.
Outcome: The proposed model outperforms existing methods for vendor identification and verification tasks using text-only, vision-only and multimodal training objectives.
ColBERT-XM: A Modular Multi-Vector Representation Model for Zero-Shot Multilingual Information Retrieval (2025.coling-main)

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Challenge: Existing approaches to improve retrieval effectiveness in high-resource languages are limited due to the lack of high-quality labeled data in non-English languages.
Approach: They propose a modular dense retrieval model that learns from the rich data of a single high-resource language and effectively zero-shot transfers to a wide array of languages.
Outcome: The proposed model performs well against state-of-the-art multilingual retrieval models trained on more extensive datasets in various languages.

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