collaborators

8 papers

cs.CL2025

Talk, Snap, Complain: Validation-Aware Multimodal Expert Framework for Fine-Grained Customer Grievances

Rishu Kumar Singh, Navneet Shreya, Sarmistha Das +2

Existing approaches to complaint analysis largely rely on unimodal, short-form content such as tweets or product reviews. This work advances the field by leveraging multimodal, mul…

cs.IR2025

M3Retrieve: Benchmarking Multimodal Retrieval for Medicine

Arkadeep Acharya, Akash Ghosh, Pradeepika Verma +3

With the increasing use of RetrievalAugmented Generation (RAG), strong retrieval models have become more important than ever. In healthcare, multimodal retrieval models that combin…

cs.AI2025

Fin-Ally: Pioneering the Development of an Advanced, Commonsense-Embedded Conversational AI for Money Matters

Sarmistha Das, Priya Mathur, Ishani Sharma +3

The exponential technological breakthrough of the FinTech industry has significantly enhanced user engagement through sophisticated advisory chatbots. However, large-scale fine-tun…

cs.CV2025

Unlocking Financial Insights: An advanced Multimodal Summarization with Multimodal Output Framework for Financial Advisory Videos

Sarmistha Das, R E Zera Marveen Lyngkhoi, Sriparna Saha +1

The dynamic propagation of social media has broadened the reach of financial advisory content through podcast videos, yet extracting insights from lengthy, multimodal segments (30-…

cs.CL2025

Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports

Punit Kumar Singh, Nishant Kumar, Akash Ghosh +9

Language Models (LMs) are primarily evaluated on globally popular sports, often overlooking regional and indigenous sporting traditions. To address this gap, we introduce \textbf{\…

cs.CV2025

When Words Can't Capture It All: Towards Video-Based User Complaint Text Generation with Multimodal Video Complaint Dataset

Sarmistha Das, R E Zera Marveen Lyngkhoi, Kirtan Jain +3

While there exists a lot of work on explainable complaint mining, articulating user concerns through text or video remains a significant challenge, often leaving issues unresolved.…