Enhanced Learning to Rank using Cluster-loss Adjustment. - Ahsaas Bajaj; Hemant Tiwari; Vanraj Vala (COMAD/CODS, 2019)

Learning Mobile App Embeddings Using Multi-task Neural Network. - Ahsaas Bajaj; Shubham Krishna; Hemant Tiwari; Vanraj Vala (NLDB, 2019)

RelEmb: A Relevance-based Application Embedding for Mobile App Retrieval and Categorization. - Shubham Krishna; Ahsaas Bajaj; Mukund Rungta; Vanraj Vala; Hemant Tiwari (Computación y Sistemas, 2019)

An Instance Level Approach for Shallow Semantic Parsing in Scientific Procedural Text. - Daivik Swarup; Ahsaas Bajaj; Sheshera Mysore; Tim O'Gorman; Rajarshi Das; Andrew McCallum (EMNLP (Findings), 2020)

Long Document Summarization in a Low Resource Setting using Pretrained Language Models. - Ahsaas Bajaj; Pavitra Dangati; Kalpesh Krishna; Pradhiksha Ashok Kumar; Rheeya Uppaal; Bradford Windsor; Eliot Brenner; Dominic Dotterrer; Rajarshi Das; Andrew McCallum (ACL (student), 2021)