4 papers
Finding the Signal in the Spam: Jointly Learning Rewards and Worker Reliability from Pairwise Comparisons
Kaustubh Shivshankar Shejole, Tanish Agarwal, Arpit Agarwal +1
The problem of learning from pairwise comparisons has been widely studied across many domains such as recommendation systems, social choice, and more recently, fine-tuning large la…
Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation
Kaustubh Shivshankar Shejole, Sourabh Deoghare, Pushpak Bhattacharyya
Neural Machine Translation (NMT) systems rely heavily on explicit punctuation cues to resolve semantic ambiguities in a source sentence. Inputting user-generated sentences, which a…
PSSI-MaxST: An Efficient Pixel-Segment Similarity Index Using Intensity and Smoothness Features for Maximum Spanning Tree Based Segmentation
Kaustubh Shivshankar Shejole, Gaurav Mishra
Interactive graph-based segmentation methods partition an image into foreground and background regions with the aid of user inputs. However, existing approaches often suffer from h…
StereoDetect: Detecting Stereotypes and Anti-stereotypes the Correct Way Using Social Psychological Underpinnings
Kaustubh Shivshankar Shejole, Pushpak Bhattacharyya
Stereotypes are known to have very harmful effects, making their detection critically important. However, current research predominantly focuses on detecting and evaluating stereot…