Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings. - Raksha Sharma; Arpan Somani; Lakshya Kumar; Pushpak Bhattacharyya (EMNLP, 2017)

"Having 2 hours to write a paper is fun!": Detecting Sarcasm in Numerical Portions of Text. - Lakshya Kumar; Arpan Somani; Pushpak Bhattacharyya (CoRR, 2017)

"When Numbers Matter!": Detecting Sarcasm in Numerical Portions of Text. - Abhijeet Dubey; Lakshya Kumar; Arpan Somani; Aditya Joshi; Pushpak Bhattacharyya (WASSA@NAACL-HLT, 2019)

Deep Contextual Embeddings for Address Classification in E-commerce. - Shreyas Mangalgi; Lakshya Kumar; T. Ravindra Babu (CoRR, 2020)

Neural Search: Learning Query and Product Representations in Fashion E-commerce. - Lakshya Kumar; Sagnik Sarkar (CoRR, 2021)

ListBERT: Learning to Rank E-commerce products with Listwise BERT. - Lakshya Kumar; Sagnik Sarkar (CoRR, 2022)

Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning. - Diddigi Raghu Ram Bharadwaj; Lakshya Kumar; Saif Jawaid; Sreekanth Vempati (CoRR, 2022)

Learning-To-Embed: Adopting Transformer based models for E-commerce Products Representation Learning. - Lakshya Kumar; Sreekanth Vempati (CoRR, 2022)

Comparing TensorFlow.js and TensorFlow in Python: An Accessibility and Usage Analysis. - Sai Sri Nandan Challapalli; Gaurav Mishra; Yashansh Pachauri; Awakash Mishra; Shipra Ravi Kumar; Lakshya Kumar (IC3I, 2023)

Blockchain-Driven Trust Management for Social IoT: A Neural Network Approach. - Rudra Krishnasrija; Lakshya Kumar; Amit Kr Mandal 001 (OCIT, 2024)

Graph Regularized Encoder Training for Extreme Classification. - Anshul Mittal; Shikhar Mohan; Deepak Saini; Siddarth Asokan; Suchith Chidananda Prabhu; Lakshya Kumar; Pankaj Malhotra; Jian Jiao 007; Amit Singh 003; Sumeet Agarwal; Soumen Chakrabarti; Purushottam Kar; et al. (WWW (Companion Volume), 2025)