activity
20192025
most citedMultilingual Speech Recognition using Knowledge Transfer across Learning Processes

4 citations · 10 across the 11 of their papers we have counts for

collaborators

11 papers

cs.IR2025

Grocery to General Merchandise: A Cross-Pollination Recommender using LLMs and Real-Time Cart Context

Akshay Kekuda, Murali Mohana Krishna Dandu, Rimita Lahiri +4

Modern e-commerce platforms strive to enhance customer experience by providing timely and contextually relevant recommendations. However, recommending general merchandise to custom…

cs.CV2025

MOSCARD -- Causal Reasoning and De-confounding for Multimodal Opportunistic Screening of Cardiovascular Adverse Events

Jialu Pi, Juan Maria Farina, Rimita Lahiri +7

Major Adverse Cardiovascular Events (MACE) remain the leading cause of mortality globally, as reported in the Global Disease Burden Study 2021. Opportunistic screening leverages da…

cs.CY2025

Position: Restructuring of Categories and Implementation of Guidelines Essential for VLM Adoption in Healthcare

Amara Tariq, Rimita Lahiri, Charles Kahn +1

The intricate and multifaceted nature of vision language model (VLM) development, adaptation, and application necessitates the establishment of clear and standardized reporting pro…

cs.CL2024★ 1 cited

Can Generic LLMs Help Analyze Child-adult Interactions Involving Children with Autism in Clinical Observation?

Tiantian Feng, Anfeng Xu, Rimita Lahiri +5

Large Language Models (LLMs) have shown significant potential in understanding human communication and interaction. However, their performance in the domain of child-inclusive inte…

eess.AS2024

Evaluation of Speech Foundation Models for ASR on Child-Adult Conversations in Autism Diagnostic Sessions

Aditya Ashvin, Rimita Lahiri, Aditya Kommineni +4

Reliable transcription of child-adult conversations in clinical settings is crucial for diagnosing developmental disorders like Autism. Recent advances in deep learning and availab…

eess.AS2023★ 1 cited

Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism

Rimita Lahiri, Tiantian Feng, Rajat Hebbar +3

We address the problem of detecting who spoke when in child-inclusive spoken interactions i.e., automatic child-adult speaker classification. Interactions involving children are ri…