◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Shubham P. Kulkarni

3 papers hereh-index 381 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • physics.flu-dyn1

identity via Semantic Scholar / OpenAlex

most citedA co-kurtosis based dimensionality reduction method for combustion datasets

10 citations · 10 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2026

INSURE-Dial: A Phase-Aware Conversational Dataset & Benchmark for Compliance Verification and Phase Detection

Shubham Kulkarni, Alexander Lyzhov, Preetam Joshi +1

Administrative phone tasks drain roughly 1 trillion USD annually from U.S. healthcare, with over 500 million insurance-benefit verification calls manually handled in 2024. We intro…

cs.AI2026

All Required, In Order: Phase-Level Evaluation for AI-Human Dialogue in Healthcare and Beyond

Shubham Kulkarni, Alexander Lyzhov, Shiva Chaitanya +1

Conversational AI is starting to support real clinical work, but most evaluation methods miss how compliance depends on the full course of a conversation. We introduce Obligatory-I…

physics.flu-dyn2022★ 10 cited

A co-kurtosis based dimensionality reduction method for combustion datasets

Anirudh Jonnalagadda, Shubham P. Kulkarni, Akash Rodhiya +2

Principal Component Analysis (PCA) is a dimensionality reduction technique widely used to reduce the computational cost associated with numerical simulations of combustion phenomen…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.