4 citations · 5 across the 7 of their papers we have counts for
7 papers
GRPO for Financial Advice Generation: Outperforming Commercial LLMs under CATE Evaluation
Ofir Ben Shoham, Shrutendra Harsola, Vignesh Subrahmaniam +3
Generating actionable financial advice from business records demands that models integrate numerical reasoning, domain knowledge, and sound judgment, while avoiding recommendations…
Observational Policy Ranking for SMB Financial Guidance from Multi-Action Accounting Logs
Shrutendra Harsola, Vignesh Subrahmaniam, Vikas Raturi +7
Small and medium-sized businesses need timely financial guidance, yet historical accounting logs record self-selected and often co-occurring business changes rather than randomized…
Accounting Graph Transformer for Short-History Multi-KPI Forecasting in Small Businesses
Shrutendra Harsola, Vignesh Subrahmaniam
Small businesses often have only 12-24 months of accounting history, yet planning and risk workflows require coordinated forecasts across financial statements. We study joint 12-mo…
BookSQL: A Large Scale Text-to-SQL Dataset for Accounting Domain
Rahul Kumar, Amar Raja Dibbu, Shrutendra Harsola +2
Several large-scale datasets (e.g., WikiSQL, Spider) for developing natural language interfaces to databases have recently been proposed. These datasets cover a wide breadth of dom…
An Ensemble Approach to Personalized Real Time Predictive Writing for Experts
Sourav Prosad, Viswa Datha Polavarapu, Shrutendra Harsola
Completing a sentence, phrase or word after typing few words / characters is very helpful for Intuit financial experts, while taking notes or having a live chat with users, since t…
BBE-LSWCM: A Bootstrapped Ensemble of Long and Short Window Clickstream Models
Arnab Chakraborty, Vikas Raturi, Shrutendra Harsola
We consider the problem of developing a clickstream modeling framework for real-time customer event prediction problems in SaaS products like QBO. We develop a low-latency, cost-ef…
Learning From Weights: A Cost-Sensitive Approach For Ad Retrieval
Nikit Begwani, Shrutendra Harsola, Rahul Agrawal
Retrieval models such as CLSM is trained on click-through data which treats each clicked query-document pair as equivalent. While training on click-through data is reasonable, this…