8 citations · 9 across the 4 of their papers we have counts for
4 papers
TRACE: Agentic Catalog Enrichment with Multi-source Evidence Grounding
Rohan Kumar, Steven Xu, Kyle MacDonald +4
Product catalogs underpin search, discovery, and recommendation in e-commerce, yet they are often attribute-sparse: the attributes shoppers and downstream systems rely on are eithe…
TexTAR : Textual Attribute Recognition in Multi-domain and Multi-lingual Document Images
Rohan Kumar, Jyothi Swaroopa Jinka, Ravi Kiran Sarvadevabhatla
Recognizing textual attributes such as bold, italic, underline and strikeout is essential for understanding text semantics, structure, and visual presentation. These attributes hig…
Automatic Question-Answer Generation for Long-Tail Knowledge
Rohan Kumar, Youngmin Kim, Sunitha Ravi +4
Pretrained Large Language Models (LLMs) have gained significant attention for addressing open-domain Question Answering (QA). While they exhibit high accuracy in answering question…
Did We Get It Right? Predicting Query Performance in E-commerce Search
Rohan Kumar, Mohit Kumar, Neil Shah +1
In this paper, we address the problem of evaluating whether results served by an e-commerce search engine for a query are good or not. This is a critical question in evaluating any…