21 citations · 22 across the 5 of their papers we have counts for
5 papers
CIFE: Code Instruction-Following Evaluation
Sravani Gunnu, Shanmukha Guttula, Hima Patel
Large Language Models (LLMs) are increasingly applied to real-world code generation, where functional correctness alone is insufficient for reliable deployment, developers also exp…
Scaling Granite Code Models to 128K Context
Matt Stallone, Vaibhav Saxena, Leonid Karlinsky +19
This paper introduces long-context Granite code models that support effective context windows of up to 128K tokens. Our solution for scaling context length of Granite 3B/8B code mo…
Multi-Intent Detection in User Provided Annotations for Programming by Examples Systems
Nischal Ashok Kumar, Nitin Gupta, Shanmukha Guttula +1
In mapping enterprise applications, data mapping remains a fundamental part of integration development, but its time consuming. An increasing number of applications lack naming sta…
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
Nitin Gupta, Hima Patel, Shazia Afzal +10
The quality of training data has a huge impact on the efficiency, accuracy and complexity of machine learning tasks. Various tools and techniques are available that assess data qua…
Document Structure Measure for Hypernym discovery
Aswin Kannan, Shanmukha C Guttula, Balaji Ganesan +2
Hypernym discovery is the problem of finding terms that have is-a relationship with a given term. We introduce a new context type, and a relatedness measure to differentiate hypern…