most citedEfficient Story Point Estimation With Comparative Learning

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Story Point Estimation Using Large Language Models

Pranam Prakash Shetty, Adarsh Balakrishnan, Mengqiao Xu +2

This study investigates the use of large language models (LLMs) for story point estimation. Story points are unitless, project-specific effort estimates that help developers on the…

cs.CV2026

Modeling Image-Caption Rating from Comparative Judgments

Kezia Minni, Qiang Zhang, Monoshiz Mahbub Khan +1

Image caption rating is becoming increasingly important because computer-generated captions are used extensively for descriptive annotation. However, rating the accuracy of caption…

cs.AI20261 cited

Efficient Story Point Estimation With Comparative Learning

Monoshiz Mahbub Khan, Xiaoyin Xi, Andrew Meneely +2

Story points are unitless, project-specific effort estimates that help developers plan their sprints. Traditionally, developers have collaboratively estimated story points using pl…

cs.CV2026

Modeling Art Evaluations from Comparative Judgments: A Deep Learning Approach to Predicting Aesthetic Preferences

Manoj Reddy Bethi, Sai Rupa Jhade, Pravallika Yaganti +2

Modeling human aesthetic judgments in visual art presents significant challenges due to individual preference variability and the high cost of obtaining labeled data. To reduce cos…

cs.SE2024

Approaching Code Search for Python as a Translation Retrieval Problem with Dual Encoders

Monoshiz Mahbub Khan, Zhe Yu

Code search is vital in the maintenance and extension of software systems. Past works have used separate language models for the natural language and programming language artifacts…