Papers by Sejal Jain

2 papers
I-SEE: An Instruction-tuned, SOP-Enhanced Quality Evaluator for Product Content (2025.emnlp-industry)

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Challenge: Existing approaches to content evaluation treat information uniformly without prioritizing based on customer relevance.
Approach: They propose a framework that combines domain expertise with a single instruction to improve content.
Outcome: a new framework outperforms existing models in detecting inconsistencies across 20 product categories and 150 product specific features.
PROBES : Performance and Relevance Observation for BEtter Search (2026.eacl-industry)

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Challenge: Qualitative search is essential for the success of online platforms, authors say . large-scale evaluation of search systems is essential to ensure high-quality user experiences .
Approach: They propose a multi-task system powered by Large Language Models for end-to-end evaluation of semantic search systems.
Outcome: The proposed system provides more precise and consistent relevance assessments across query categories.

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