19 citations · 19 across the 5 of their papers we have counts for
5 papers
Large Language Models (LLMs) for Telecom Root Cause Analysis (RCA): A Structured Reasoning Framework for Evidence-Grounded Diagnosis
Hao Zhou, Mandar Kulkarni, Hao Chen +3
Root cause analysis (RCA) is a critical task in telecom network operations, but diagnosing performance degradations in modern 5G and emerging 6G networks remains challenging due to…
Bridging Search and CRM: Productionizing AI Product Research Agents for Customer Re-Engagement
Mandar Kulkarni, Pooja A., Samir Shah
Modern e-commerce platforms often operate search, recommendation, personalization, and CRM systems independently, limiting opportunities for proactive customer re-engagement. This…
Efficient Learning for Product Attributes with Compact Multimodal Models
Mandar Kulkarni
Image-based product attribute prediction in e-commerce is a crucial task with numerous applications. The supervised fine-tuning of Vision Language Models (VLMs) faces significant s…
Agent-S: LLM Agentic workflow to automate Standard Operating Procedures
Mandar Kulkarni
AI agents using Large Language Models (LLMs) as foundations have shown promise in solving complex real-world tasks. In this paper, we propose an LLM-based agentic workflow for auto…
Reinforcement Learning for Optimizing RAG for Domain Chatbots
Mandar Kulkarni, Praveen Tangarajan, Kyung Kim +1
With the advent of Large Language Models (LLM), conversational assistants have become prevalent for domain use cases. LLMs acquire the ability to contextual question answering thro…