activity
20222026
most citedAutomated Query-Product Relevance Labeling using Large Language Models for E-commerce Search

4 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

RegionFed: Federated Learning for Personalized Query Understanding in Heterogeneous Retail Environments

Quoc H. Nguyen, Ali Lafzi, Abhijeet Phatak +4

Retail search systems serve diverse geographic regions with distinct query patterns, vocabularies, and product preferences, creating significant data heterogeneity that challenges…

cs.IR2025★ 4 cited

Automated Query-Product Relevance Labeling using Large Language Models for E-commerce Search

Jayant Sachdev, Sean D Rosario, Abhijeet Phatak +3

Accurate query-product relevance labeling is indispensable to generate ground truth dataset for search ranking in e-commerce. Traditional approaches for annotating query-product pa…

cs.IR2025

Inducing Diversity in Differentiable Search Indexing

Abhijeet Phatak, Jayant Sachdev, Sean D Rosario +2

Differentiable Search Indexing (DSI) is a recent paradigm for information retrieval which uses a transformer-based neural network architecture as the document index to simplify the…

eess.IV2023★ 1 cited

Direct Estimation of Pupil Parameters Using Deep Learning for Visible Light Pupillometry

Abhijeet Phatak, Aditya Chandra Mandal, Janarthanam Jothi Balaji +1

Pupil reflex to variations in illumination and associated dynamics are of importance in neurology and ophthalmology. This is typically measured using a near Infrared (IR) pupillome…

physics.optics2022

Reconstructing complex field through opaque scattering layer with structured light illumination

Aditya Chandra Mandal, Manisha, Abhijeet Phatak +2

The wavefront is scrambled when coherent light propagates through a random scattering medium and which makes direct use of the conventional optical methods ineffective. In this pap…