6 citations · 10 across the 5 of their papers we have counts for
6 papers
Learning Reasoning World Models for Parallel Code
Gautam Singh, Arjun Guha, Bhavya Kailkhura +1
Large language models have shown remarkable ability in serial code generation, but they still struggle with parallel code for which training data is comparatively scarce. A common…
Fair Transfer of Multiple Style Attributes in Text
Karan Dabas, Nishtha Madan, Vijay Arya +3
To preserve anonymity and obfuscate their identity on online platforms users may morph their text and portray themselves as a different gender or demographic. Similarly, a chatbot…
Mining Procedures from Technical Support Documents
Abhirut Gupta, Abhay Khosla, Gautam Singh +1
Guided troubleshooting is an inherent task in the domain of technical support services. When a customer experiences an issue with the functioning of a technical service or a produc…
Generating Clues for Gender based Occupation De-biasing in Text
Nishtha Madaan, Gautam Singh, Sameep Mehta +2
Vast availability of text data has enabled widespread training and use of AI systems that not only learn and predict attributes from the text but also generate text automatically.…
Fast Nearest-Neighbor Classification using RNN in Domains with Large Number of Classes
Gautam Singh, Gargi Dasgupta, Yu Deng
In scenarios involving text classification where the number of classes is large (in multiples of 10000s) and training samples for each class are few and often verbose, nearest neig…
Cross-Lingual Predicate Mapping Between Linked Data Ontologies
Gautam Singh, Saemi Jang, Mun Y. Yi
Ontologies in different natural languages often differ in quality in terms of richness of schema or richness of internal links. This difference is markedly visible when comparing a…